Prabakaran Kesavan
- Molecular Biology
- Surgery top 10%
- Oncology top 10%
- Immunology top 10%
- Cancer Research top 10%
- Co-authors
- Marian T. NakadaYi TangYan LiHillary J. MillarFrancis L. McCabeFranz M. MatschinskyPeter J. BugelskiPatricia Rafferty
- Topics
- Pancreatic function and diabetes (4 papers)Microtubule and mitosis dynamics (2 papers)Chemokine receptors and signaling (2 papers)
- Cited by
- Cancer ResearchImmunologyOncology
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Prabakaran Kesavan
15 papers receiving 952 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 680
- Surgery 328
- Oncology 275
- Immunology 227
- Cancer Research 180
Countries citing papers authored by Prabakaran Kesavan
This map shows the geographic impact of Prabakaran Kesavan'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 Prabakaran Kesavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabakaran Kesavan more than expected).
Fields of papers citing papers by Prabakaran Kesavan
This network shows the impact of papers produced by Prabakaran Kesavan. 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 Prabakaran Kesavan. The network helps show where Prabakaran Kesavan may publish in the future.
Co-authorship network of co-authors of Prabakaran Kesavan
This figure shows the co-authorship network connecting the top 25 collaborators of Prabakaran Kesavan. A scholar is included among the top collaborators of Prabakaran Kesavan 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 Prabakaran Kesavan. Prabakaran Kesavan 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 | 4 | |
| 3 | 17 | |
| 4 | 24 | |
| 5 | Neutralization of CCL2 inhibits tumor angiogenesis and pancreatic tumor growth | 4 |
| 6 | 297 | |
| 7 | Anti-CCL-2 / MCP-1 (monocyte chemoattractant protein-1) monoclonal antibodies effectively inhibit tumor angiogenesis and growth of human breast carcinoma | 3 |
| 8 | 227 | |
| 9 | 21 | |
| 10 | 39 | |
| 11 | 5 | |
| 12 | 62 | |
| 13 | 231 | |
| 14 | 17 | |
| 15 | Regulation of stability and synthesis of EGF-receptor mRNAs encoding for intact and truncated receptor forms. | 17 |
About Prabakaran Kesavan
Prabakaran Kesavan is a scholar working on Cell Biology, Cancer Research and Oncology, having authored 15 papers that have together received 969 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Microtubule and mitosis dynamics (2 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Cancer Research (180 citations), Immunology (227 citations) and Oncology (275 citations). Prabakaran Kesavan has collaborated with scholars based in United States, India and France. Frequent co-authors include Marian T. Nakada, Yi Tang, Yan Li, Hillary J. Millar, Francis L. McCabe, Yi Tang, Franz M. Matschinsky, Peter J. Bugelski, Yan Li and Patricia Rafferty. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Cancer Research.
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.