Vasudeva Bhat
Impact in
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- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
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- Cancer Cells and Metastasis
Papers in
- Oncology 13
- Cancer Cells and Metastasis 4
- Cancer Treatment and Pharmacology 2
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- Epigenetics and DNA Methylation 2
- Co-authors
- Afshin Raouf (5 shared papers)Alison L. Allan (11 shared papers)Sumanta Chatterjee (2 shared papers)Armen Parsyan (7 shared papers)Leigh C. Murphy (2 shared papers)Satyanarayana M.R. Rao (1 shared paper)Sainitin Donakonda (1 shared paper)Pingzhao Hu (2 shared papers)
- Journals
- Biomedicines (2 papers)iScience (1 paper)Scientific Reports (1 paper)Journal of Pediatric Hematology/Oncology (1 paper)Stem Cells and Development (1 paper)
- Partner nations
- CanadaIndiaUnited States
In The Last Decade
Vasudeva Bhat
23 papers receiving 276 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 108
- Oncology 90
- Reproductive Medicine 22
- Molecular Biology 139
- Cell Biology 32
Countries citing papers authored by Vasudeva Bhat
This map shows the geographic impact of Vasudeva Bhat'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 Vasudeva Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasudeva Bhat more than expected).
Fields of papers citing papers by Vasudeva Bhat
This network shows the impact of papers produced by Vasudeva Bhat. 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 Vasudeva Bhat. The network helps show where Vasudeva Bhat may publish in the future.
Co-authors
The 25 scholars most cited alongside Vasudeva Bhat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 53 | |
| 2 | 2012 | 35 | |
| 3 | 2019 | 32 | |
| 4 | 2019 | 26 | |
| 5 | 2021 | 22 | |
| 6 | 2020 | 18 | |
| 7 | 2021 | 17 | |
| 8 | 2019 | 14 | |
| 9 | 2016 | 11 | |
| 10 | 2022 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2023 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2017 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2020 | 2 |
About Vasudeva Bhat
Vasudeva Bhat is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Epidemiology, having authored 26 papers that have together received 279 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Microtubule and mitosis dynamics (3 papers), Cancer Genomics and Diagnostics (3 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer Treatment and Pharmacology (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (108 citations), Oncology (90 citations), Reproductive Medicine (22 citations), Molecular Biology (139 citations) and Cell Biology (32 citations). Vasudeva Bhat has collaborated with scholars based in Canada, India and United States. Frequent co-authors include Afshin Raouf, Alison L. Allan, Sumanta Chatterjee, Armen Parsyan, Leigh C. Murphy, Satyanarayana M.R. Rao, Sainitin Donakonda, Pingzhao Hu, David W. Cescon and Pratima Basak. Their work appears in journals such as Biomedicines, iScience, Scientific Reports, Journal of Pediatric Hematology/Oncology and Stem Cells and Development.
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.