Rukmini Kumar

1.0k total citations
17 papers, 775 citations indexed

About

Rukmini Kumar is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, Rukmini Kumar has authored 17 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Rukmini Kumar's work include Mathematical Biology Tumor Growth (3 papers), Immune Response and Inflammation (3 papers) and Computational Drug Discovery Methods (3 papers). Rukmini Kumar is often cited by papers focused on Mathematical Biology Tumor Growth (3 papers), Immune Response and Inflammation (3 papers) and Computational Drug Discovery Methods (3 papers). Rukmini Kumar collaborates with scholars based in United States, India and United Kingdom. Rukmini Kumar's co-authors include Gilles Clermont, Carson C. Chow, Yoram Vodovotz, John Bartels, Gregory Constantine, Constantino Lagoa, Mitchell P. Fink, Timothy R. Billiar, David Gallo and Scott Q. Siler and has published in prestigious journals such as Cancer Research, CHEST Journal and Critical Care Medicine.

In The Last Decade

Rukmini Kumar

14 papers receiving 744 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rukmini Kumar United States	8	260	236	208	71	63	17	775
John Bartels United States	14	374 1.4×	293 1.2×	297 1.4×	63 0.9×	73 1.2×	16	952
Steven Wood United States	20	338 1.3×	64 0.3×	95 0.5×	74 1.0×	23 0.4×	37	1.2k
Yanyan Wang China	18	365 1.4×	205 0.9×	277 1.3×	13 0.2×	43 0.7×	66	1.2k
Zhaolong Cao China	5	151 0.6×	76 0.3×	66 0.3×	17 0.2×	51 0.8×	8	854
Adria Carbo United States	20	401 1.5×	321 1.4×	75 0.4×	18 0.3×	20 0.3×	35	984
Steven Watterson United Kingdom	13	297 1.1×	176 0.7×	102 0.5×	6 0.1×	51 0.8×	28	842
Eun Jung Jang South Korea	19	285 1.1×	87 0.4×	82 0.4×	25 0.4×	7 0.1×	60	923
Josep Bassaganya-Riera United States	20	405 1.6×	358 1.5×	158 0.8×	11 0.2×	8 0.1×	49	1.1k

Countries citing papers authored by Rukmini Kumar

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Rukmini Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Rukmini Kumar. A scholar is included among the top collaborators of Rukmini Kumar 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 Rukmini Kumar. Rukmini Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Raman, Karthik, Rukmini Kumar, Cynthia J. Musante, & Subha Madhavan. (2025). Integrating Model‐Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation. Clinical and Translational Science. 18(1). e70124–e70124. 8 indexed citations

Kumar, Rukmini, et al.. (2024). Multiscale, mechanistic model of Rheumatoid Arthritis to enable decision making in late stage drug development. npj Systems Biology and Applications. 10(1). 126–126.

Kumar, Rukmini, et al.. (2024). An integrated quantitative systems pharmacology virtual population approach for calibration with oncology efficacy endpoints. CPT Pharmacometrics & Systems Pharmacology. 14(2). 268–278. 3 indexed citations

Paleja, Bhairav, et al.. (2024). Applying quantitative and systems pharmacology to drug development and beyond: An introduction to clinical pharmacologists. Indian Journal of Pharmacology. 56(4). 268–276. 1 indexed citations

Kumar, Rukmini, et al.. (2023). Incorporating lesion-to-lesion heterogeneity into early oncology decision making. Frontiers in Immunology. 14. 1173546–1173546. 5 indexed citations

Sarathy, Harini, et al.. (2023). Quantitative systems pharmacology model of erythropoiesis to simulate therapies targeting anemia due to chronic kidney disease. Frontiers in Pharmacology. 14. 1274490–1274490.

Teng, Shu‐Wen, et al.. (2023). Can a propensity score matching method be applied to assessing efficacy from single‐arm proof‐of‐concept trials in oncology?. CPT Pharmacometrics & Systems Pharmacology. 12(9). 1347–1357. 4 indexed citations

Kumar, Rukmini, Lakshmanan Jagannathan, Li Liu, et al.. (2021). Beyond the single average tumor: Understanding IO combinations using a clinical QSP model that incorporates heterogeneity in patient response. CPT Pharmacometrics & Systems Pharmacology. 10(7). 684–695. 13 indexed citations

Topp, Brian, et al.. (2020). Abstract PO-131: Inter-tumoral heterogeneity of progressive disease in melanoma patients treated with pembrolizumab. Cancer Research. 80(21_Supplement). PO–131. 1 indexed citations

10.

Howell, Brett A., Yuching Yang, Rukmini Kumar, et al.. (2012). In vitro to in vivo extrapolation and species response comparisons for drug-induced liver injury (DILI) using DILIsym™: a mechanistic, mathematical model of DILI. Journal of Pharmacokinetics and Pharmacodynamics. 39(5). 527–541. 74 indexed citations

11.

Kumar, Rukmini, Carson C. Chow, John Bartels, Gilles Clermont, & Yoram Vodovotz. (2007). A MATHEMATICAL SIMULATION OF THE INFLAMMATORY RESPONSE TO ANTHRAX INFECTION. Shock. 29(1). 104–111. 47 indexed citations

12.

Vodovotz, Yoram, Carson C. Chow, John Bartels, et al.. (2006). IN SILICO MODELS OF ACUTE INFLAMMATION IN ANIMALS. Shock. 26(3). 235–244. 83 indexed citations

13.

Chow, Carson C., Gilles Clermont, Rukmini Kumar, et al.. (2005). THE ACUTE INFLAMMATORY RESPONSE IN DIVERSE SHOCK STATES. Shock. 24(1). 74–84. 157 indexed citations

14.

Clermont, Gilles, John Bartels, Rukmini Kumar, et al.. (2004). In silico design of clinical trials: A method coming of age. Critical Care Medicine. 32(10). 2061–2070. 138 indexed citations

15.

Kumar, Rukmini, Gilles Clermont, Yoram Vodovotz, & Carson C. Chow. (2004). The dynamics of acute inflammation. Journal of Theoretical Biology. 230(2). 145–155. 240 indexed citations

16.

Vodovotz, Yoram, Constantino Lagoa, Judy Day, et al.. (2004). PREDICTING THE ACUTE INFLAMMATORY RESPONSE IN COMBINED TRAUMA-HEMORRHAGE AND ENDOTOXEMIA USING MATHEMATICAL SIMULATIONS. Shock. 21. 50–50.

17.

Lagoa, Constantino, Gilles Clermont, Rukmini Kumar, et al.. (2003). Prediction of the Acute Inflammatory Response From A Mathematical Mode. CHEST Journal. 124(4). 121S–121S. 1 indexed citations

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.

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