Rukmini Kumar
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Immunology top 10%
- Immune Response and Inflammation
- Immune cells in cancer
Papers in ⓘ
- Oncology 4
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Yoram Vodovotz (7 shared papers)Carson C. Chow (7 shared papers)Gilles Clermont (7 shared papers)John Bartels (5 shared papers)Gregory Constantine (3 shared papers)Constantino Lagoa (4 shared papers)Mitchell P. Fink (3 shared papers)Timothy R. Billiar (3 shared papers)
- Journals
- Shock (4 papers)CPT Pharmacometrics & Systems Pharmacology (3 papers)CHEST Journal (1 paper)Frontiers in Immunology (1 paper)Journal of Theoretical Biology (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Rukmini Kumar
14 papers receiving 744 citations
Peers
Comparison fields: 5 of 104
- Modeling and Simulation 71
- Immunology 236
- Behavioral Neuroscience 32
- Pharmacology 58
- Epidemiology 208
Countries citing papers authored by Rukmini Kumar
This map shows the geographic impact of Rukmini Kumar'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 Rukmini Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rukmini Kumar more than expected).
Fields of papers citing papers by Rukmini Kumar
This network shows the impact of papers produced by Rukmini Kumar. 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 Rukmini Kumar. The network helps show where Rukmini Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Rukmini Kumar, 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 | 2004 | 240 | |
| 2 | 2005 | 157 | |
| 3 | 2004 | 138 | |
| 4 | 2006 | 83 | |
| 5 | 2012 | 74 | |
| 6 | 2007 | 47 | |
| 7 | 2021 | 13 | |
| 8 | 2025 | 8 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2003 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2023 | 0 | |
| 17 | 2004 | 0 |
About Rukmini Kumar
Rukmini Kumar is a scholar working on Oncology, Molecular Biology, Epidemiology, Computational Theory and Mathematics and Pharmacology, having authored 17 papers that have together received 775 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Mathematical Biology Tumor Growth (3 papers), Immune Response and Inflammation (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Statistical Methods in Clinical Trials (3 papers), Sepsis Diagnosis and Treatment (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Modeling and Simulation (71 citations), Immunology (236 citations), Behavioral Neuroscience (32 citations), Pharmacology (58 citations) and Epidemiology (208 citations). Rukmini Kumar has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Yoram Vodovotz, Carson C. Chow, Gilles Clermont, John Bartels, Gregory Constantine, Constantino Lagoa, Mitchell P. Fink, Timothy R. Billiar, David Gallo and Paul B. Watkins. Their work appears in journals such as Shock, CPT Pharmacometrics & Systems Pharmacology, CHEST Journal, Frontiers in Immunology and Journal of Theoretical Biology.
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.