Kapil Gadkar

2.9k total citations
37 papers, 1.5k citations indexed

About

Kapil Gadkar is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Control and Systems Engineering. According to data from OpenAlex, Kapil Gadkar has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Control and Systems Engineering. Recurrent topics in Kapil Gadkar's work include Monoclonal and Polyclonal Antibodies Research (13 papers), Computational Drug Discovery Methods (7 papers) and Microbial Metabolic Engineering and Bioproduction (7 papers). Kapil Gadkar is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (13 papers), Computational Drug Discovery Methods (7 papers) and Microbial Metabolic Engineering and Bioproduction (7 papers). Kapil Gadkar collaborates with scholars based in United States, Switzerland and Germany. Kapil Gadkar's co-authors include Francis J. Doyle, Saroja Ramanujan, Rudiyanto Gunawan, Jeffrey D. Varner, Daniel C. Kirouac, Radhakrishnan Mahadevan, Iraj Hosseini, Jeremy S. Edwards, Jessica A. Couch and Ryan J. Watts and has published in prestigious journals such as Automatica, Genome Research and Annals of the New York Academy of Sciences.

In The Last Decade

Kapil Gadkar

36 papers receiving 1.4k citations

Peers

Kapil Gadkar

RNMI

ONCOL

IMMUN

Travis S. Johnson United States

Jing Fu China

Paul G. O’Reilly United Kingdom

Thomas Sauter Luxembourg

Xiaobo Zhou United States

José A. Seoane Spain

Yukiko Matsuoka Japan

Zhen Zhang China

Michael Rugaard Jensen Switzerland

Wen Jin Wu United States

Travis S. Johnson United States

Kapil Gadkar

723 ×0.9

116 ×0.3

RNMI

195 ×0.7

ONCOL

142 ×0.7

IMMUN

45 ×0.3

Citations per year, relative to Kapil Gadkar Kapil Gadkar (= 1×) peers Travis S. Johnson

Countries citing papers authored by Kapil Gadkar

Since Specialization

Citations

This map shows the geographic impact of Kapil Gadkar'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 Kapil Gadkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kapil Gadkar more than expected).

Fields of papers citing papers by Kapil Gadkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kapil Gadkar. 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 Kapil Gadkar. The network helps show where Kapil Gadkar may publish in the future.

Co-authorship network of co-authors of Kapil Gadkar

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

All Works

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20 of 20 papers shown

Hosseini, Iraj, Jennifer A. Getz, Jérémie Decalf, et al.. (2024). A Minimal PBPK/PD Model with Expansion-Enhanced Target-Mediated Drug Disposition to Support a First-in-Human Clinical Study Design for a FLT3L-Fc Molecule. Pharmaceutics. 16(5). 660–660.

Shah, Nirav N., Martin Lechmann, Hardik Mody, et al.. (2024). Industry Perspective on First‐in‐Human and Clinical Pharmacology Strategies to Support Clinical Development of T‐Cell Engaging Bispecific Antibodies for Cancer Therapy. Clinical Pharmacology & Therapeutics. 117(1). 34–55. 2 indexed citations

Li, Chi‐Chung, Kapil Gadkar, Genevive Hernandez, et al.. (2023). Systems‐based digital twins to help characterize clinical dose–response and propose predictive biomarkers in a Phase I study of bispecific antibody, mosunetuzumab, in NHL. Clinical and Translational Science. 16(7). 1134–1148. 44 indexed citations

Bai, Jane P. F., Brian J. Schmidt, Kapil Gadkar, et al.. (2021). FDA-Industry Scientific Exchange on assessing quantitative systems pharmacology models in clinical drug development: a meeting report, summary of challenges/gaps, and future perspective. The AAPS Journal. 23(3). 60–60. 27 indexed citations

Hosseini, Iraj, Kapil Gadkar, Eric Stefanich, et al.. (2020). Mitigating the risk of cytokine release syndrome in a Phase I trial of CD20/CD3 bispecific antibody mosunetuzumab in NHL: impact of translational system modeling. npj Systems Biology and Applications. 6(1). 28–28. 82 indexed citations

Hosseini, Iraj, et al.. (2018). gPKPDSim: a SimBiology®-based GUI application for PKPD modeling in drug development. Journal of Pharmacokinetics and Pharmacodynamics. 45(2). 259–275. 19 indexed citations

Slaga, Dionysos, Diego Ellerman, T. Noelle Lombana, et al.. (2018). Avidity-based binding to HER2 results in selective killing of HER2-overexpressing cells by anti-HER2/CD3. Science Translational Medicine. 10(463). 93 indexed citations

Gadkar, Kapil, Daniel C. Kirouac, Neil Parrott, & Saroja Ramanujan. (2016). Quantitative systems pharmacology: a promising approach for translational pharmacology. Drug Discovery Today Technologies. 21-22. 57–65. 29 indexed citations

Gadkar, Kapil, Daniela Bumbaca Yadav, Jessica A. Couch, et al.. (2016). Mathematical PKPD and safety model of bispecific TfR/BACE1 antibodies for the optimization of antibody uptake in brain. European Journal of Pharmaceutics and Biopharmaceutics. 101. 53–61. 40 indexed citations

10.

Gadkar, Kapil, James Lu, Srikumar Sahasranaman, et al.. (2015). Evaluation of HDL-modulating interventions for cardiovascular risk reduction using a systems pharmacology approach. Journal of Lipid Research. 57(1). 46–55. 14 indexed citations

11.

Sukumaran, Siddharth, Kapil Gadkar, Crystal Zhang, et al.. (2014). Mechanism-Based Pharmacokinetic/Pharmacodynamic Model for THIOMAB™ Drug Conjugates. Pharmaceutical Research. 32(6). 1884–1893. 32 indexed citations

12.

Shoda, Lisl K.M., Huub T. C. Kreuwel, Kapil Gadkar, et al.. (2010). The Type 1 Diabetes PhysioLab® Platform: a validated physiologically based mathematical model of pathogenesis in the non-obese diabetic mouse. Clinical & Experimental Immunology. 161(2). 250–267. 43 indexed citations

13.

Gadkar, Kapil, Lisl K.M. Shoda, Huub T. C. Kreuwel, et al.. (2007). Dosing and Timing Effects of Anti‐CD40L Therapy. Annals of the New York Academy of Sciences. 1103(1). 63–68. 9 indexed citations

14.

Zheng, Yanan, Huub T. C. Kreuwel, Daniel L. Young, et al.. (2007). The Virtual NOD Mouse. Annals of the New York Academy of Sciences. 1103(1). 45–62. 7 indexed citations

15.

Young, Daniel L., Saroja Ramanujan, Huub T. C. Kreuwel, et al.. (2006). Mechanisms Mediating Anti‐CD3 Antibody Efficacy. Annals of the New York Academy of Sciences. 1079(1). 369–373. 4 indexed citations

16.

Gadkar, Kapil, Francis J. Doyle, & Jeffrey D. Varner. (2005). Model identification of signal transduction networks from data using a state regulator problem. PubMed. 2(1). 17–30. 61 indexed citations

17.

Gadkar, Kapil, Rudiyanto Gunawan, & Francis J. Doyle. (2005). Iterative approach to model identification of biological networks. BMC Bioinformatics. 6(1). 155–155. 122 indexed citations

18.

Kremling, Andreas, Kapil Gadkar, Francis J. Doyle, et al.. (2004). A Benchmark for Methods in Reverse Engineering and Model Discrimination: Problem Formulation and Solutions. Genome Research. 14(9). 1773–1785. 100 indexed citations

19.

Gadkar, Kapil, Francis J. Doyle, Jeremy S. Edwards, & Radhakrishnan Mahadevan. (2004). Estimating optimal profiles of genetic alterations using constraint‐based models. Biotechnology and Bioengineering. 89(2). 243–251. 71 indexed citations

20.

Gadkar, Kapil, Francis J. Doyle, Timothy J. Crowley, & Jeffrey D. Varner. (2003). Cybernetic Model Predictive Control of a Continuous Bioreactor with Cell Recycle. Biotechnology Progress. 19(5). 1487–1497. 42 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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