This workflow follows the Google Drive → Google Drive Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "Research Paper Analyzer & Literature Review Assistant",
"nodes": [
{
"parameters": {
"content": "## \ud83c\udf93 Research Paper Analyzer\n\n### What this workflow does\n1. Watches Drive for new papers\n2. Pulls out metadata and findings\n3. Searches Semantic Scholar & PubMed\n4. Generates APA citations\n5. Logs to Google Sheets\n6. Creates Notion summary page\n\n### Setup steps\n1. Create \"Research Papers\" folder in Drive\n2. Get PDF Vector API key from pdfvector.com/api-keys\n3. Create Google Sheet with columns below\n4. Create Notion parent page for summaries\n5. Update folder ID, Sheet ID, Notion page ID\n\n### Sheet columns\nTitle, Authors, Year, Journal, DOI, Research Field, Study Type, Sample Size, Keywords, Abstract, Conclusions, Citation, Related Papers Found, File Link, Added Date\n\n### Perfect for\n- PhD students\n- Researchers\n- Literature reviews",
"height": 480,
"width": 320,
"color": 5
},
"id": "sticky-main",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
60,
100
]
},
{
"parameters": {
"content": "## \ud83d\udcda Academic Search\n\n- Semantic Scholar\n- PubMed\n\nFinds up to 10 related papers\nusing keywords from your paper.",
"height": 160,
"width": 220
},
"id": "sticky-databases",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
820,
100
]
},
{
"parameters": {
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"triggerOn": "specificFolder",
"folderToWatch": {
"__rl": true,
"value": "YOUR_FOLDER_ID",
"mode": "list"
},
"event": "fileCreated",
"options": {}
},
"id": "gdrive-trigger",
"name": "Google Drive Trigger",
"type": "n8n-nodes-base.googleDriveTrigger",
"typeVersion": 1,
"position": [
420,
320
],
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "download",
"fileId": {
"__rl": true,
"value": "={{ $json.id }}",
"mode": "id"
},
"options": {}
},
"id": "gdrive-download",
"name": "Download Paper",
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
620,
320
],
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "extract",
"inputType": "file",
"prompt": "Extract research paper metadata as flat fields. title, authorsList (all authors comma-separated as single string), journal, publicationYear (number), doi, abstract, keywordsList (comma-separated keywords as single string), researchField, studyType (one of: Experimental, Observational, Review, Meta-analysis, Case Study, Qualitative, Mixed Methods, Theoretical), sampleSize (number), methodology, mainFindings (semicolon-separated list of main findings as single string), conclusions, limitations (semicolon-separated list as single string), futureResearch (semicolon-separated list as single string).",
"schema": "{\"type\": \"object\", \"properties\": {\"title\": {\"type\": \"string\"}, \"authorsList\": {\"type\": \"string\"}, \"journal\": {\"type\": \"string\"}, \"publicationYear\": {\"type\": \"number\"}, \"doi\": {\"type\": \"string\"}, \"abstract\": {\"type\": \"string\"}, \"keywordsList\": {\"type\": \"string\"}, \"researchField\": {\"type\": \"string\"}, \"studyType\": {\"type\": \"string\"}, \"sampleSize\": {\"type\": \"number\"}, \"methodology\": {\"type\": \"string\"}, \"mainFindings\": {\"type\": \"string\"}, \"conclusions\": {\"type\": \"string\"}, \"limitations\": {\"type\": \"string\"}, \"futureResearch\": {\"type\": \"string\"}}, \"additionalProperties\": false}"
},
"id": "pdfvector-extract",
"name": "PDF Vector - Extract Paper Info",
"type": "n8n-nodes-pdfvector.pdfVector",
"typeVersion": 2,
"position": [
820,
320
],
"credentials": {
"pdfVectorApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "academic",
"operation": "search",
"query": "={{ $json.data?.keywordsList ? $json.data.keywordsList.split(',').slice(0,3).join(' ') : $json.data?.title?.split(' ').slice(0,5).join(' ') || '' }}",
"providers": [
"semantic-scholar"
],
"limit": 10,
"offset": 0
},
"id": "pdfvector-search",
"name": "PDF Vector - Find Related Papers",
"type": "n8n-nodes-pdfvector.pdfVector",
"typeVersion": 2,
"position": [
1020,
320
],
"credentials": {
"pdfVectorApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "const paper = $('PDF Vector - Extract Paper Info').item.json.data || $('PDF Vector - Extract Paper Info').item.json;\nconst relatedPapers = $input.first().json.results || [];\nconst fileName = $('Google Drive Trigger').item.json.name;\n\nconst relatedList = relatedPapers.slice(0, 5).map(p =>\n `\u2022 ${p.title} (${p.year || 'N/A'}) - ${p.citationCount || 0} citations`\n).join('\\n') || 'No related papers found';\n\nconst citation = `${paper.authorsList || 'Unknown'} (${paper.publicationYear || 'n.d.'}). ${paper.title}. ${paper.journal || 'Unknown Journal'}${paper.doi ? `. https://doi.org/${paper.doi}` : ''}`;\n\nconst abstractShort = paper.abstract && paper.abstract.length > 800\n ? paper.abstract.substring(0, 800) + '...'\n : (paper.abstract || '');\n\nconst notionSummary = `Authors: ${paper.authorsList || 'N/A'}\\nYear: ${paper.publicationYear || 'N/A'}\\nJournal: ${paper.journal || 'N/A'}\\n\\n${abstractShort}\\n\\n${paper.conclusions || ''}`;\n\nreturn [{ json: {\n title: paper.title || 'Unknown',\n authorsList: paper.authorsList || 'Unknown',\n publicationYear: paper.publicationYear || 'N/A',\n journal: paper.journal || 'N/A',\n doi: paper.doi || 'N/A',\n researchField: paper.researchField || 'N/A',\n studyType: paper.studyType || 'N/A',\n sampleSize: paper.sampleSize || 'N/A',\n keywordsList: paper.keywordsList || 'N/A',\n abstract: paper.abstract || 'N/A',\n conclusions: paper.conclusions || 'N/A',\n mainFindings: paper.mainFindings || 'N/A',\n relatedPapers: relatedList,\n relatedCount: relatedPapers.length,\n citation,\n notionSummary,\n fileName,\n fileId: $('Google Drive Trigger').item.json.id,\n processedAt: new Date().toISOString()\n}}];"
},
"id": "compile-analysis",
"name": "Compile Analysis",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1220,
320
]
},
{
"parameters": {
"operation": "append",
"documentId": {
"__rl": true,
"value": "YOUR_SPREADSHEET_ID",
"mode": "list"
},
"sheetName": {
"__rl": true,
"value": "gid=0",
"mode": "list"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"Title": "={{ $json.title }}",
"Authors": "={{ $json.authorsList }}",
"Year": "={{ $json.publicationYear || 'N/A' }}",
"Journal": "={{ $json.journal || 'N/A' }}",
"DOI": "={{ $json.doi || 'N/A' }}",
"Research Field": "={{ $json.researchField || 'N/A' }}",
"Study Type": "={{ $json.studyType || 'N/A' }}",
"Sample Size": "={{ $json.sampleSize || 'N/A' }}",
"Keywords": "={{ $json.keywordsList }}",
"Abstract": "={{ $json.abstract }}",
"Conclusions": "={{ $json.conclusions || 'N/A' }}",
"Citation": "={{ $json.citation }}",
"Related Papers Found": "={{ $json.relatedCount }}",
"File Link": "=https://drive.google.com/file/d/{{ $json.fileId }}/view",
"Added Date": "={{ $json.processedAt.split('T')[0] }}"
}
},
"options": {}
},
"id": "sheets-log",
"name": "Add to Literature Database",
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.5,
"position": [
1420,
320
],
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "page",
"operation": "create",
"pageId": {
"__rl": true,
"value": "YOUR_NOTION_PAGE_ID",
"mode": "id"
},
"title": "={{ $json.title }}",
"contentUi": {
"contentValues": [
{
"type": "text",
"text": "={{ $json.notionSummary }}"
}
]
},
"options": {}
},
"id": "notion-page",
"name": "Create Notion Summary",
"type": "n8n-nodes-base.notion",
"typeVersion": 2.2,
"position": [
1620,
320
],
"credentials": {
"notionApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"Google Drive Trigger": {
"main": [
[
{
"node": "Download Paper",
"type": "main",
"index": 0
}
]
]
},
"Download Paper": {
"main": [
[
{
"node": "PDF Vector - Extract Paper Info",
"type": "main",
"index": 0
}
]
]
},
"PDF Vector - Extract Paper Info": {
"main": [
[
{
"node": "PDF Vector - Find Related Papers",
"type": "main",
"index": 0
}
]
]
},
"PDF Vector - Find Related Papers": {
"main": [
[
{
"node": "Compile Analysis",
"type": "main",
"index": 0
}
]
]
},
"Compile Analysis": {
"main": [
[
{
"node": "Add to Literature Database",
"type": "main",
"index": 0
}
]
]
},
"Add to Literature Database": {
"main": [
[
{
"node": "Create Notion Summary",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
},
"tags": [
{
"name": "PDF Vector"
},
{
"name": "Research"
},
{
"name": "Academic"
},
{
"name": "Notion"
},
{
"name": "Literature Review"
}
],
"meta": {
"templateCredsSetupCompleted": false
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googleDriveOAuth2ApigoogleSheetsOAuth2ApinotionApipdfVectorApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Research Paper Analyzer & Literature Review Assistant. Uses googleDriveTrigger, googleDrive, n8n-nodes-pdfvector, googleSheets. Event-driven trigger; 9 nodes.
Source: https://github.com/khanhduyvt0101/workflows/blob/main/n8n-workflows/research-paper-analyzer.json — original creator credit. Request a take-down →
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