# Medical University Rankings (OpenAlex) (`azureblue/medical-university-rankings`) Actor Rank medical universities worldwide by scholarly impact using OpenAlex. Returns citation count, h-index, works count and ROR identifier. Filter by country. - **URL**: https://apify.com/azureblue/medical-university-rankings.md - **Developed by:** [azureblue](https://apify.com/azureblue) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Medical University Rankings (OpenAlex) Rank medical universities and academic medical centers worldwide by real scholarly impact metrics using [OpenAlex](https://openalex.org/) — the open-access replacement for Microsoft Academic Graph covering 250+ million publications. Returns citation count, h-index, works count, 2-year mean citedness and ROR identifier. No API key required. ### Features - Ranks by total citation count (most cited = rank 1) - Returns h-index and 2-year mean citedness for recency - Filter by country (ISO 2-letter code) - Customize search term: `medical university`, `university hospital`, `health sciences`, etc. - Returns ROR (Research Organization Registry) ID for integration with other systems - OpenAlex is fully open — no paywalls, no rate-limit registration ### Input | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `searchTerm` | string | | `medical university` | Institution name keyword. Try `hospital` or `health sciences` for wider results | | `country` | string | | worldwide | ISO 2-letter country code, e.g. `DE`, `AT`, `GB`, `US` | | `maxResults` | integer | | 100 | Max institutions (1–2,000) | ### Output ```json { "rank": 1, "name": "The University of Texas Southwestern Medical Center", "country": "US", "type": "healthcare", "citedByCount": 20297821, "worksCount": 98432, "hIndex": 1218, "twoYearMeanCitedness": 8.4, "rorId": "https://ror.org/03c3r2d17", "openalexId": "https://openalex.org/I136199984", "url": "https://www.utsouthwestern.edu" } ```` ### Use Cases #### 1. European Medical School Benchmarking A European hospital management consultant filters `country=DE` (or AT, CH, GB) to benchmark German-speaking medical universities by citation impact — presenting the results to hospital boards for strategic positioning. #### 2. Research Collaboration Targeting A pharmaceutical company identifying academic partners for a Phase II trial scrapes the top 50 global medical universities ranked by h-index — creating a shortlist of high-impact institutions for partnership outreach. #### 3. Medical School Application Research A pre-med advisor uses the global ranking filtered to `GB` to show prospective students a citation-impact-based ranking of UK medical schools — a complement to reputation-based rankings like QS or THE. ### Data Source [OpenAlex API](https://openalex.org/) — free, open scholarly infrastructure. Updated weekly. Covers 250M+ works and 100,000+ institutions globally. ### Pricing Pay-per-result. Top 100 global medical universities ≈ $0.50. # Actor input Schema ## `searchTerm` (type: `string`): Institution name filter. Default 'medical university' finds dedicated medical schools. Use 'university hospital' or 'health sciences' for broader results. ## `country` (type: `string`): Filter by country (ISO 2-letter code, e.g. DE, AT, GB, US). Leave empty for worldwide ranking. ## `maxResults` (type: `integer`): Maximum number of institutions to retrieve (1–2,000). ## Actor input object example ```json { "searchTerm": "medical university", "country": "DE", "maxResults": 100 } ``` # Actor output Schema ## `dataset` (type: `string`): Open the run's default dataset to view, filter and export the scraped items. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("azureblue/medical-university-rankings").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("azureblue/medical-university-rankings").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call azureblue/medical-university-rankings --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=azureblue/medical-university-rankings", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Medical University Rankings (OpenAlex)", "description": "Rank medical universities worldwide by scholarly impact using OpenAlex. Returns citation count, h-index, works count and ROR identifier. Filter by country.", "version": "1.0", "x-build-id": "NZLKEA26d2oQZSYm1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/azureblue~medical-university-rankings/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-azureblue-medical-university-rankings", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/azureblue~medical-university-rankings/runs": { "post": { "operationId": "runs-sync-azureblue-medical-university-rankings", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/azureblue~medical-university-rankings/run-sync": { "post": { "operationId": "run-sync-azureblue-medical-university-rankings", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchTerm": { "title": "Search Term", "type": "string", "description": "Institution name filter. Default 'medical university' finds dedicated medical schools. Use 'university hospital' or 'health sciences' for broader results.", "default": "medical university" }, "country": { "title": "Country Filter", "type": "string", "description": "Filter by country (ISO 2-letter code, e.g. DE, AT, GB, US). Leave empty for worldwide ranking." }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum number of institutions to retrieve (1–2,000).", "default": 100 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```