Vaishnavi Nathan
About
In The Last Decade
Vaishnavi Nathan
9 papers receiving 314 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 200
- Cancer Research 134
- Oncology 110
- Pulmonary and Respiratory Medicine 56
- Cell Biology 41
Countries citing papers authored by Vaishnavi Nathan
This map shows the geographic impact of Vaishnavi Nathan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vaishnavi Nathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vaishnavi Nathan more than expected).
Fields of papers citing papers by Vaishnavi Nathan
This network shows the impact of papers produced by Vaishnavi Nathan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vaishnavi Nathan. The network helps show where Vaishnavi Nathan may publish in the future.
Co-authorship network of co-authors of Vaishnavi Nathan
This figure shows the co-authorship network connecting the top 25 collaborators of Vaishnavi Nathan. A scholar is included among the top collaborators of Vaishnavi Nathan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vaishnavi Nathan. Vaishnavi Nathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 12 | |
| 7 | 13 | |
| 8 | 260 | |
| 9 | 15 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.