Rukmini Kumar
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Immunology top 10%
- Immune Response and Inflammation
- Inflammation biomarkers and pathways
Papers in
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- Statistical Methods in Clinical Trials 4
-
- Sepsis Diagnosis and Treatment 5
- Co-authors
- Carson C. Chow (6 shared papers)Gilles Clermont (6 shared papers)Yoram Vodovotz B (6 shared papers)John D. Bartels (4 shared papers)Gregory M. Constantine (2 shared papers)Timothy R. Billiar (3 shared papers)Mitchell P. Fink (3 shared papers)David J. Gallo (1 shared paper)
- Journals
- CPT Pharmacometrics & Systems Pharmacology (4 papers)Shock (4 papers)Frontiers in Immunology (1 paper)Frontiers in Pharmacology (1 paper)Critical Care Medicine (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Rukmini Kumar
13 papers receiving 843 citations
Peers
Comparison fields: 5 of 94
- Modeling and Simulation 62
- Immunology 200
- Critical Care and Intensive Care Medicine 40
- Epidemiology 250
- Pharmacology 56
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 | 266 | |
| 2 | 2005 | 173 | |
| 3 | 2004 | 162 | |
| 4 | 2006 | 90 | |
| 5 | 2012 | 86 | |
| 6 | 2007 | 54 | |
| 7 | 2025 | 24 | |
| 8 | 2021 | 12 | |
| 9 | 2023 | 6 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2004 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2026 | 0 |
About Rukmini Kumar
Rukmini Kumar is a scholar working on Statistics and Probability, Epidemiology, Oncology, Pediatrics, Perinatology and Child Health and Computational Theory and Mathematics, having authored 16 papers that have together received 886 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (5 papers), Statistical Methods in Clinical Trials (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Computational Drug Discovery Methods (2 papers), Pharmaceutical studies and practices (2 papers), Erythropoietin and Anemia Treatment (1 paper), Bacillus and Francisella bacterial research (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Modeling and Simulation (62 citations), Immunology (200 citations), Critical Care and Intensive Care Medicine (40 citations), Epidemiology (250 citations) and Pharmacology (56 citations). Rukmini Kumar has collaborated with scholars based in United States and India. Frequent co-authors include Carson C. Chow, Gilles Clermont, Yoram Vodovotz B, John D. Bartels, Gregory M. Constantine, Timothy R. Billiar, Mitchell P. Fink, David J. Gallo, Gregory M. Constantine and Paul Brent Watkins. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Shock, Frontiers in Immunology, Frontiers in Pharmacology and Critical Care Medicine.
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.