# Research Topic Institutions and Authors (`mambalabs/research-topic-institutions-authors`) Actor

Give a research topic and get the institutions and authors with the most works on it, from OpenAlex: one ranked row each with ROR, ORCID, counts, h-index, and their newest papers on the topic. For research scouting and academic lead lists.

- **URL**: https://apify.com/mambalabs/research-topic-institutions-authors.md
- **Developed by:** [Mamba Labs](https://apify.com/mambalabs) (community)
- **Categories:** Lead generation, AI, Developer tools
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.10 / 1,000 institution or author rows

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Research Topic Institutions and Authors

Give a research topic as a keyword or an OpenAlex topic ID, and get the institutions and authors with the most works on it. Each row is one institution or author, ranked by works on the topic, with its ROR or ORCID, total works, citations, h-index, and its newest papers on the topic. You pay per row, and Mamba Labs pays the platform costs.

### Features

- **Ranked by works on your topic.** Rows count the works matching your topic and filters, so the first row is the most active institution or author on that topic, not the largest overall.
- **Institution rows.** Name, ROR, country, city, type, and homepage.
- **Author rows.** Name, ORCID where OpenAlex holds one, and last known institutions.
- **Newest papers on the topic.** Up to 10 per row, with date, DOI, and citation count.
- **Filters.** Year range, country, and institution type, such as companies only.
- **One free summary row per topic,** with the works matched and the rows written.
- **Restart aware.** If Apify moves the run to another host, it resumes from its saved position.

### How the data is read

The actor calls the [OpenAlex API](https://openalex.org) directly, from one address. OpenAlex data is CC0. There is no scraping, no login, no AI, and no other developer's actor.

OpenAlex sets a daily budget per caller:

- **With no key,** the run shares 0.10 USD a day of OpenAlex usage with everyone on its address, and OpenAlex can limit keyless search under load. The actor waits when OpenAlex asks, and does not rotate addresses to get a larger budget. If the budget is used up, you get a free row saying so, and rows already written stay.
- **With your own free key** from [openalex.org/settings/api](https://openalex.org/settings/api), the run uses your 1 USD a day. Put it in `openalex_api_key`. It is sent in a header and is never stored or logged.

A keyword row with recent papers uses about 0.001 USD of that budget, and each topic adds about 0.002 USD. So 25 institutions and 25 authors use about 0.05 USD. With `recent_papers` set to `0`, the same run uses about 0.003 USD. This budget belongs to OpenAlex and is separate from your Apify charges. The key path was tested with fixtures and a refused key: Mamba Labs used no key of its own, so the first buyer's key is the live test.

### Input

| Field | Type | Default | What it does |
|---|---|---|---|
| `topics` | array |  | Keywords such as perovskite solar cells, or OpenAlex topic IDs such as T10247, up to 20. Each one gets its own ranked rows. |
| `row_types` | array |  | institutions, authors, or both. Default both. |
| `max_institutions` | string | `25` | Institution rows per topic, up to 200. Default 25. |
| `max_authors` | string | `25` | Author rows per topic, up to 200. Default 25. |
| `recent_papers` | string | `3` | Newest papers on the topic to add to each row, 0 to 10. Default 3. 0 skips them and uses far less of the OpenAlex budget. |
| `from_year` | string |  | Count works published from this year. Default 5 years before the current year. |
| `to_year` | string |  | Count works published up to this year. Default no end. |
| `countries` | array |  | Two letter codes such as US or DE. Institution rows must be in one of these. Author rows come from works with an institution in one of these, and the author may be elsewhere. |
| `institution_types` | array |  | Any of education, healthcare, company, archive, nonprofit, government, facility, funder, other. Institution rows must be one of these. Author rows come from works with such an institution. |
| `search_scope` | string | `title_abstract` | title_abstract (default): a keyword must be in the title or abstract. fulltext: also the full text where OpenAlex holds it, which matches more and less precisely. Ignored for topic IDs. |
| `openalex_api_key` | string |  | Optional. Your own free key from openalex.org/settings/api, with its own 1 USD a day of OpenAlex usage. Without one, the run shares a 0.10 USD daily budget with everyone on its address and keyword search can be limited. Never stored or logged. |
| `max_charge_usd` | string |  | Optional. The run stops before a charge that would pass this amount. Summary rows are always returned. |

### Output

| Field | Type | What it holds |
|---|---|---|
| `row_type` | string | One of: institution, author, topic_summary, run_summary. run_summary is the one free row written when the input is refused. |
| `topic` | string | The keyword or topic ID from your input. |
| `rank` | integer | Position on this topic by works on the topic, per row type. 1 has the most. |
| `openalex_id` | string | The OpenAlex ID, I for an institution, A for an author. |
| `openalex_url` | string | The record's page on OpenAlex. |
| `name` | string | The institution or author name as OpenAlex holds it. |
| `works_on_topic` | integer | Works matching the topic and filters that list this institution or author. |
| `works_count_total` | integer | All works OpenAlex holds for this record. |
| `cited_by_count_total` | integer | All citations OpenAlex counts for this record. |
| `h_index` | integer | OpenAlex h-index for this record across all its works, not only this topic. |
| `country_code` | string | Institution rows: its country. Author rows: the country of the first last known institution. |
| `city` | string | Institution rows: the city OpenAlex holds. |
| `institution_type` | string | Institution rows: education, company, government, and so on. |
| `ror` | string | Institution rows: the Research Organization Registry address. |
| `homepage_url` | string | Institution rows: the homepage OpenAlex holds. |
| `orcid` | string | Author rows: the ORCID address where OpenAlex holds one. |
| `last_known_institutions` | array | Author rows: institution names from the author's latest works. |
| `recent_papers` | array | Newest works on the topic for this row: title, publication_date, cited_by_count, doi, openalex_id. Null when recent_papers is 0. |
| `works_matched` | integer | topic_summary: works matching the topic and filters. |
| `institutions_returned` | integer | topic_summary: institution rows written. |
| `authors_returned` | integer | topic_summary: author rows written. |
| `row_status` | string | ok, or why this row carries no data: no_results, no_change, partial, blocked, or error. |
| `error_reason` | string | Why the row is not ok. A refused input reads input_invalid: followed by what to fix. |
| `billable_events_json` | string | What this row was billed as, for example {"entity-row":1}. {} means free. |
| `scraped_at` | string | When the row was written, UTC. |

### Pricing

Pay per event. Topic summaries, refused or failed topics, and refused input are free.

| Event | Free plan | Bronze | Silver | Gold |
|---|---|---|---|---|
| `entity-row`, one institution or author row | $0.006 | $0.0057 | $0.0054 | $0.0051 |
| `apify-actor-start`, once per run (one per GB of memory; the default 256 MB is one) | $0.003 | $0.003 | $0.003 | $0.003 |

Per 1,000 rows of `entity-row`: $6.00 on the free plan, $5.10 on Gold.

Free plan cap: 1.50 USD of evaluation a month, about 250 rows. Any paid Apify plan removes the cap, and it resets on the 1st. The run stops before a charge that passes your maximum charge per run in Apify or your `max_charge_usd` input.

Mamba Labs pays the platform costs of your run, Apify proxy traffic included.

### Usage examples

**Top institutions and authors on a topic.**

```json
{
  "topics": ["perovskite solar cells"],
  "max_institutions": "10",
  "max_authors": "10",
  "recent_papers": "2"
}
```

**Companies publishing on a topic in Germany since 2023, with no papers.**

```json
{
  "topics": ["solid state batteries"],
  "row_types": ["institutions"],
  "countries": ["DE"],
  "institution_types": ["company"],
  "from_year": "2023",
  "recent_papers": "0"
}
```

**Clay.** Number inputs are text fields, which is what Clay sends. A list input takes a JSON list, so put the column inside a one item list.

**MCP.** The Mamba Labs MCP server `@mambalabsdev/mcp-research-topic-institutions-authors` exposes this actor to Claude and other MCP clients.

### Limitations

- Rows hold only what OpenAlex publishes. There is no email or phone for any author, and this actor does not look for them.
- Counts and affiliations are OpenAlex's own, and it can merge or split people with similar names. Check an author's ORCID and papers before relying on a row.
- Institution counts attach to the exact institution on each work, so a parent body and its institutes are separate rows.
- With `countries` or `institution_types`, author rows come from works with such an institution, and the author may be elsewhere.
- A keyword matches titles and abstracts by default, so a broad word brings in unrelated works. An OpenAlex topic ID is narrower.
- Each topic ranks at most 200 institutions and 200 authors. With a country or type filter, institutions are chosen from the top 200 on the topic before filtering, so fewer rows can return.
- `h_index`, total works, and total citations cover the whole record, not only this topic.

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| [Reporting Window Finder](https://apify.com/mambalabs/public-company-reporting-window-finder?fpr=mamba) | `uINxR7a1IW8qUTRUX` |
| [Sequencer Event Poller](https://apify.com/mambalabs/sequencer-event-poller?fpr=mamba) | `S6s8Rjd61tGdrMRk4` |
| [Sequencer Lead Push](https://apify.com/mambalabs/clay-to-instantly-smartlead-push?fpr=mamba) | `0Jv27VeWM5tSZQs9x` |
| [Shopify App Store and Chrome Web Store Listings](https://apify.com/mambalabs/shopify-app-store-chrome-web-store-listings?fpr=mamba) | `gaY0BzkLyN77mD3wI` |
| [Site Crawler for Links and Tables](https://apify.com/mambalabs/site-crawler-links-tables?fpr=mamba) | `lLLJ6JxZ4XqN8ULz0` |
| [Substack Newsletter and Posts Scraper](https://apify.com/mambalabs/substack-scraper?fpr=mamba) | `UEFsdwiPLmPNVy9xd` |
| [Team Page People Extractor](https://apify.com/mambalabs/team-page-people-extractor?fpr=mamba) | `j8a9zX0k4mNbvDbWK` |
| [Tech Stack Signal Detector](https://apify.com/mambalabs/gtm-tech-stack-signal-scraper?fpr=mamba) | `qyd7nNyqFPelQViBx` |
| [Threads Posts by Keyword, Exact Match](https://apify.com/mambalabs/threads-keyword-search?fpr=mamba) | `2OT8K8RiEEWtaj2MW` |
| [TikTok Brand Presence Mapper](https://apify.com/mambalabs/tiktok-brand-presence-mapper?fpr=mamba) | `fco8FvoJcSafbeyd1` |
| [Trustpilot Reputation Enricher](https://apify.com/mambalabs/review-platform-reputation-enricher?fpr=mamba) | `3lIqfCt61j4hqE1xz` |
| [US and UK Contract Award Winners by Company](https://apify.com/mambalabs/public-award-monitor?fpr=mamba) | `zhEtllASykOcx9hJ8` |
| [US Import Records Buyer Finder](https://apify.com/mambalabs/us-import-records-buyer-finder?fpr=mamba) | `VIMafpKF5ggOw0COU` |
| [VC and Accelerator Portfolio List Builder](https://apify.com/mambalabs/vc-accelerator-portfolio-list-builder?fpr=mamba) | `chH8hrfuoqqolW06m` |
| [Website Accessibility Checker, WCAG 2.2 AA](https://apify.com/mambalabs/wcag-accessibility-audit?fpr=mamba) | `P3jBj3FRghKEhX52z` |
| [Website Phrase and Business Model Classifier](https://apify.com/mambalabs/website-phrase-business-model-classifier?fpr=mamba) | `CBuZ9k7sRwBeiKiCS` |
| [Website Traffic Rank Estimator](https://apify.com/mambalabs/website-traffic-rank-estimator?fpr=mamba) | `GnOFUzlNVIoXgeJjH` |
| [Work Email Waterfall](https://apify.com/mambalabs/email-waterfall-orchestrator?fpr=mamba) | `OT6xqTFThC0Rjf7Zj` |
| [Workplace Program Detector](https://apify.com/mambalabs/workplace-program-detector?fpr=mamba) | `Li6pPDhqbdzFz3h7G` |
| [X Brand Presence Mapper](https://apify.com/mambalabs/x-brand-presence-mapper?fpr=mamba) | `oLOgadhHUkNAyDA3w` |
| [YouTube Channel from Company Domain](https://apify.com/mambalabs/youtube-channel-transcript-extractor?fpr=mamba) | `6hSpD3kd2s2IQ4VSs` |

Built by [Mamba Labs](https://apify.com/mambalabs).

# Actor input Schema

## `topics` (type: `array`):

Keywords such as perovskite solar cells, or OpenAlex topic IDs such as T10247, up to 20. Each one gets its own ranked rows.

## `row_types` (type: `array`):

institutions, authors, or both. Default both.

## `max_institutions` (type: `string`):

Institution rows per topic, up to 200. Default 25.

## `max_authors` (type: `string`):

Author rows per topic, up to 200. Default 25.

## `recent_papers` (type: `string`):

Newest papers on the topic to add to each row, 0 to 10. Default 3. 0 skips them and uses far less of the OpenAlex budget.

## `from_year` (type: `string`):

Count works published from this year. Default 5 years before the current year.

## `to_year` (type: `string`):

Count works published up to this year. Default no end.

## `countries` (type: `array`):

Two letter codes such as US or DE. Institution rows must be in one of these. Author rows come from works with an institution in one of these, and the author may be elsewhere.

## `institution_types` (type: `array`):

Any of education, healthcare, company, archive, nonprofit, government, facility, funder, other. Institution rows must be one of these. Author rows come from works with such an institution.

## `search_scope` (type: `string`):

title_abstract (default): a keyword must be in the title or abstract. fulltext: also the full text where OpenAlex holds it, which matches more and less precisely. Ignored for topic IDs.

## `openalex_api_key` (type: `string`):

Optional. Your own free key from openalex.org/settings/api, with its own 1 USD a day of OpenAlex usage. Without one, the run shares a 0.10 USD daily budget with everyone on its address and keyword search can be limited. Never stored or logged.

## `max_charge_usd` (type: `string`):

Optional. The run stops before a charge that would pass this amount. Summary rows are always returned.

## `source_tag` (type: `string`):

Internal attribution tag. Leave empty.

## Actor input object example

```json
{
  "topics": [
    "perovskite solar cells"
  ],
  "max_institutions": "5",
  "max_authors": "5",
  "recent_papers": "2",
  "search_scope": "title_abstract"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `run_summary` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "topics": [
        "perovskite solar cells"
    ],
    "max_institutions": "5",
    "max_authors": "5",
    "recent_papers": "2"
};

// Run the Actor and wait for it to finish
const run = await client.actor("mambalabs/research-topic-institutions-authors").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "topics": ["perovskite solar cells"],
    "max_institutions": "5",
    "max_authors": "5",
    "recent_papers": "2",
}

# Run the Actor and wait for it to finish
run = client.actor("mambalabs/research-topic-institutions-authors").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "topics": [
    "perovskite solar cells"
  ],
  "max_institutions": "5",
  "max_authors": "5",
  "recent_papers": "2"
}' |
apify call mambalabs/research-topic-institutions-authors --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mambalabs/research-topic-institutions-authors"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/OH8ANqt7bCKbo72Gk/builds/os691wtwzqouktH5K/openapi.json