Kavya Ramkumar
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- Lung Cancer Research Studies
- PARP inhibition in cancer therapy
Papers in ⓘ
- Oncology 13
- Lung Cancer Research Studies 7
- Pancreatic and Hepatic Oncology Research 4
-
- Cancer therapeutics and mechanisms 3
- Co-authors
- Nouri Neamati (4 shared papers)Srinivas Odde (3 shared papers)Erik Serrao (3 shared papers)Lauren A. Byers (15 shared papers)Carl M. Gay (11 shared papers)C. Allison Stewart (10 shared papers)Li Shen (8 shared papers)Jing Wang (5 shared papers)
- Journals
- Cancer Research (4 papers)Annals of Oncology (3 papers)Molecular Cancer Therapeutics (2 papers)Molecular Cancer Research (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
Kavya Ramkumar
20 papers receiving 534 citations
Peers
Comparison fields: 5 of 66
- Virology 109
- Oncology 213
- Infectious Diseases 140
- Molecular Biology 263
- Cell Biology 60
Countries citing papers authored by Kavya Ramkumar
This map shows the geographic impact of Kavya Ramkumar'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 Kavya Ramkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kavya Ramkumar more than expected).
Fields of papers citing papers by Kavya Ramkumar
This network shows the impact of papers produced by Kavya Ramkumar. 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 Kavya Ramkumar. The network helps show where Kavya Ramkumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Kavya Ramkumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 125 | |
| 2 | 2019 | 91 | |
| 3 | 2021 | 78 | |
| 4 | 2021 | 41 | |
| 5 | 2020 | 38 | |
| 6 | 2021 | 37 | |
| 7 | 2008 | 34 | |
| 8 | 2010 | 32 | |
| 9 | 2021 | 29 | |
| 10 | 2023 | 14 | |
| 11 | 2020 | 10 | |
| 12 | 2019 | 4 | |
| 13 | 2020 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2019 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2010 | 1 | |
| 20 | 2019 | 1 |
About Kavya Ramkumar
Kavya Ramkumar is a scholar working on Oncology, Molecular Biology, Immunology, Epidemiology and Cell Biology, having authored 20 papers that have together received 545 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (7 papers), Phagocytosis and Immune Regulation (5 papers), HIV Research and Treatment (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Neuroendocrine Tumor Research Advances (4 papers), HIV/AIDS drug development and treatment (4 papers), Microtubule and mitosis dynamics (4 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Virology (109 citations), Oncology (213 citations), Infectious Diseases (140 citations), Molecular Biology (263 citations) and Cell Biology (60 citations). Kavya Ramkumar has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Nouri Neamati, Srinivas Odde, Erik Serrao, Lauren A. Byers, Carl M. Gay, C. Allison Stewart, Li Shen, Jing Wang, Robert J. Cardnell and You-Hong Fan. Their work appears in journals such as Cancer Research, Annals of Oncology, Molecular Cancer Therapeutics, Molecular Cancer Research and Clinical 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.