▼ Publication Timeline
▼ Open Access Distribution
▼ Rankings
▼ Co-occurrence Network
Focus on:
Select a field and click "Generate Network" to visualize co-occurrences
How to read: Nodes represent entities, sized by paper frequency. Colors indicate communities detected by the Louvain algorithm.
Edges connect entities that co-occur in the same paper, with thickness indicating co-occurrence count.
Drag nodes to rearrange. Hover to highlight connections. Click a node or edge to see papers.
Drag nodes to rearrange. Hover to highlight connections. Click a node or edge to see papers.
▼ Collaboration Network Explorer
Target authors:
All institutions
All countries
Search and select target authors, then click "Generate Subgraph"
NODE LIST
PATH POOL (click + to add)
Empty
Collaboration Paths
Path Subgraph
Target
Person of Interest
Intermediate
| Target Author | Collaboration Path | Person of Interest | Hops | Avg. BC ↓ |
|---|
How to read: Orange nodes = target authors. Other nodes = co-authors within k-hop. Node size = paper count. Edge thickness = shared paper count. Colors = detected communities. Hover node for institution/country. Click node or edge to see papers.
▼ Gene Frequency vs Specificity Analysis
How to read:
X-axis = gene frequency (normalized); Y-axis = specificity to selected disease(s).
Top-right Frequent AND specific - Bottom-right Frequent but generic - Top-left Rare but specific - Bottom-left Rare and generic.
Click any point to see the co-occurring papers.
Top-right Frequent AND specific - Bottom-right Frequent but generic - Top-left Rare but specific - Bottom-left Rare and generic.
Click any point to see the co-occurring papers.
▼ Citation Main Path Analysis
▼ AI Paper Scoring
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