Kedar S. Vaidya
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 5%
- Pathology and Forensic Medicine top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- Danny R. WelchDouglas R. HurstMick D. EdmondsLewis J. StaffordChristopher C. BenzGary K. ScottPushkar PhadkeErwin R. Boghaert
- Topics
- Mechanisms of cancer metastasis (12 papers)Cancer Mechanisms and Therapy (9 papers)Peptidase Inhibition and Analysis (5 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical OncologyJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Kedar S. Vaidya
33 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.1k
- Oncology 550
- Cancer Research 481
- Pathology and Forensic Medicine 259
- Pulmonary and Respiratory Medicine 174
Countries citing papers authored by Kedar S. Vaidya
This map shows the geographic impact of Kedar S. Vaidya'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 Kedar S. Vaidya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kedar S. Vaidya more than expected).
Fields of papers citing papers by Kedar S. Vaidya
This network shows the impact of papers produced by Kedar S. Vaidya. 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 Kedar S. Vaidya. The network helps show where Kedar S. Vaidya may publish in the future.
Co-authorship network of co-authors of Kedar S. Vaidya
This figure shows the co-authorship network connecting the top 25 collaborators of Kedar S. Vaidya. A scholar is included among the top collaborators of Kedar S. Vaidya 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 Kedar S. Vaidya. Kedar S. Vaidya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 30 | |
| 4 | 25 | |
| 5 | 104 | |
| 6 | 136 | |
| 7 | 69 | |
| 8 | 8 | |
| 9 | 58 | |
| 10 | 33 | |
| 11 | 73 | |
| 12 | 10 | |
| 13 | 87 | |
| 14 | 36 | |
| 15 | 44 | |
| 16 | BRMS1 binding proteins mSDS3 and RBBP1 serve distinct roles in BRMS1 function | 1 |
| 17 | 34 | |
| 18 | 140 | |
| 19 | Suppression of breast cancer metastasis by p16’s dual effect on anti-angiogenesis and anti-proliferation | 1 |
| 20 | 35 |
About Kedar S. Vaidya
Kedar S. Vaidya is a scholar working on Oncology, Pathology and Forensic Medicine and Hepatology, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mechanisms of cancer metastasis (12 papers), Cancer Mechanisms and Therapy (9 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Cancer Research (481 citations), Oncology (550 citations) and Molecular Biology (1.1k citations). Kedar S. Vaidya has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Danny R. Welch, Douglas R. Hurst, Mick D. Edmonds, Lewis J. Stafford, Christopher C. Benz, Gary K. Scott, Pushkar Phadke, Erwin R. Boghaert, Edward B. Reilly and Kevin T. Nash. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.
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.