Vinayakumar Prabhu
About
In The Last Decade
Vinayakumar Prabhu
10 papers receiving 613 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 339
- Physiology 120
- Immunology 112
- Epidemiology 76
- Oncology 68
Countries citing papers authored by Vinayakumar Prabhu
This map shows the geographic impact of Vinayakumar Prabhu'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 Vinayakumar Prabhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinayakumar Prabhu more than expected).
Fields of papers citing papers by Vinayakumar Prabhu
This network shows the impact of papers produced by Vinayakumar Prabhu. 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 Vinayakumar Prabhu. The network helps show where Vinayakumar Prabhu may publish in the future.
Co-authorship network of co-authors of Vinayakumar Prabhu
This figure shows the co-authorship network connecting the top 25 collaborators of Vinayakumar Prabhu. A scholar is included among the top collaborators of Vinayakumar Prabhu 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 Vinayakumar Prabhu. Vinayakumar Prabhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 26 | |
| 3 | 44 | |
| 4 | 34 | |
| 5 | 80 | |
| 6 | 21 | |
| 7 | 56 | |
| 8 | Human papillomavirus type 16 E6 and E7 proteins inhibit differentiation-dependent expression of transforming growth factor-beta2 in cervical keratinocytes. | 67 |
| 9 | 197 | |
| 10 | 68 |
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.