Kunal Kumar

2.2k total citations · 1 hit paper
35 papers, 1.6k citations indexed

About

Kunal Kumar is a scholar working on Molecular Biology, Organic Chemistry and Genetics. According to data from OpenAlex, Kunal Kumar has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Organic Chemistry and 8 papers in Genetics. Recurrent topics in Kunal Kumar's work include Cancer therapeutics and mechanisms (8 papers), Tuberculosis Research and Epidemiology (6 papers) and Pancreatic function and diabetes (6 papers). Kunal Kumar is often cited by papers focused on Cancer therapeutics and mechanisms (8 papers), Tuberculosis Research and Epidemiology (6 papers) and Pancreatic function and diabetes (6 papers). Kunal Kumar collaborates with scholars based in United States, India and Canada. Kunal Kumar's co-authors include Rana P. Singh, Akash Sabarwal, Iwao Ojima, Divya Awasthi, Richard A. Slayden, Susan E. Knudson, Robert J. DeVita, Andrew F. Stewart, Peng Wang and Peter J. Tonge and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Kunal Kumar

31 papers receiving 1.6k citations

Hit Papers

Hazardous effects of chemical pesticides on human health–... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kunal Kumar United States 21 663 320 270 256 200 35 1.6k
Rong Shi China 27 1.2k 1.9× 384 1.2× 295 1.1× 120 0.5× 50 0.3× 90 2.4k
Olivier Berteau France 33 1.6k 2.4× 458 1.4× 141 0.5× 221 0.9× 72 0.4× 51 3.1k
Wen Shan Yew Singapore 27 1.3k 1.9× 103 0.3× 190 0.7× 126 0.5× 39 0.2× 64 2.0k
Pascal Sonnet France 28 1.0k 1.5× 900 2.8× 157 0.6× 309 1.2× 32 0.2× 140 2.5k
Kenzo Yokozeki Japan 27 1.7k 2.5× 250 0.8× 119 0.4× 156 0.6× 55 0.3× 114 2.4k
Xiaofeng Zhu China 24 1.1k 1.7× 321 1.0× 193 0.7× 187 0.7× 37 0.2× 75 2.0k
Ralf Mattes Germany 29 1.7k 2.6× 174 0.5× 314 1.2× 412 1.6× 66 0.3× 63 2.6k
Tadao Oikawa Japan 27 1.1k 1.7× 84 0.3× 158 0.6× 166 0.6× 47 0.2× 123 1.9k
Juan Aguilar Spain 24 1.1k 1.7× 134 0.4× 373 1.4× 95 0.4× 45 0.2× 57 1.7k
Annalaura Stammati Italy 19 643 1.0× 69 0.2× 116 0.4× 287 1.1× 123 0.6× 37 2.1k

Countries citing papers authored by Kunal Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Kunal Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunal Kumar

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

All Works

20 of 20 papers shown
1.
Kumar, Kunal, Huidong Shi, Huabin Zhu, et al.. (2025). UFL1 promotes survival and function of virtual memory CD8 T cells. The Journal of Immunology. 214(3). 446–459.
2.
Rosselot, Carolina, Yansui Li, Peng Wang, et al.. (2024). Harmine and exendin-4 combination therapy safely expands human β cell mass in vivo in a mouse xenograft system. Science Translational Medicine. 16(755). eadg3456–eadg3456. 13 indexed citations
3.
Ables, Jessica L., L Israël, Olivia Wood, et al.. (2024). A Phase 1 single ascending dose study of pure oral harmine in healthy volunteers. Journal of Psychopharmacology. 38(10). 911–923. 5 indexed citations
4.
Wang, Peng, Kunal Kumar, Hongtao Liu, et al.. (2023). 349-OR: Selected DYRK1A Inhibitors Simultaneously Drive Both Human Beta-Cell Proliferation and Differentiation. Diabetes. 72(Supplement_1).
6.
Kumar, Kunal, et al.. (2022). Silibinin Radiosensitizes EGF Receptor-knockdown Prostate Cancer Cells by Attenuating DNA Repair Pathways. Journal of Cancer Prevention. 27(3). 170–181. 9 indexed citations
7.
Singh, Khushwant, et al.. (2022). Immunomodulatory effects of β-defensin 2 on macrophages induced immuno-upregulation and their antitumor function in breast cancer. BMC Immunology. 23(1). 53–53. 8 indexed citations
8.
Wang, Peng, Esra Karaköse, Kunal Kumar, et al.. (2021). Human Beta Cell Regenerative Drug Therapy for Diabetes: Past Achievements and Future Challenges. Frontiers in Endocrinology. 12. 671946–671946. 33 indexed citations
9.
Kumar, Kunal, et al.. (2021). DYRK1A Inhibitors as Potential Therapeutics for β-Cell Regeneration for Diabetes. Journal of Medicinal Chemistry. 64(6). 2901–2922. 42 indexed citations
10.
Ackeifi, Courtney, Peng Wang, Esra Karaköse, et al.. (2020). GLP-1 receptor agonists synergize with DYRK1A inhibitors to potentiate functional human β cell regeneration. Science Translational Medicine. 12(530). 89 indexed citations
11.
Kumar, Kunal, et al.. (2019). Usnic acid induces apoptosis in human gastric cancer cells through ROS generation and DNA damage and causes up-regulation of DNA-PKcs and γ-H2A.X phosphorylation. Chemico-Biological Interactions. 315. 108898–108898. 50 indexed citations
12.
Ackeifi, Courtney, Ethan Swartz, Kunal Kumar, et al.. (2019). Pharmacologic and genetic approaches define human pancreatic β cell mitogenic targets of DYRK1A inhibitors. JCI Insight. 5(1). 40 indexed citations
13.
Kumar, Kunal, et al.. (2018). Anti-cancer efficacy and mechanisms of usnic acid. Indian Journal of Pharmaceutical and Biological Research. 7(3). 1–4. 5 indexed citations
14.
Kumar, Kunal, Peter M.U. Ung, Peng Wang, et al.. (2018). Novel selective thiadiazine DYRK1A inhibitor lead scaffold with human pancreatic β-cell proliferation activity. European Journal of Medicinal Chemistry. 157. 1005–1016. 36 indexed citations
15.
Knudson, Susan E., Divya Awasthi, Kunal Kumar, et al.. (2015). Cell division inhibitors with efficacy equivalent to isoniazid in the acute murineMycobacterium tuberculosisinfection model. Journal of Antimicrobial Chemotherapy. 70(11). 3070–3073. 21 indexed citations
16.
Knudson, Susan E., Kunal Kumar, Divya Awasthi, Iwao Ojima, & Richard A. Slayden. (2014). In vitro–in vivo activity relationship of substituted benzimidazole cell division inhibitors with activity against Mycobacterium tuberculosis. Tuberculosis. 94(3). 271–276. 25 indexed citations
17.
Park, Bora, Divya Awasthi, Kunal Kumar, et al.. (2014). Design, synthesis and evaluation of novel 2,5,6-trisubstituted benzimidazoles targeting FtsZ as antitubercular agents. Bioorganic & Medicinal Chemistry. 22(9). 2602–2612. 53 indexed citations
18.
Ojima, Iwao, et al.. (2014). Drug discovery targeting cell division proteins, microtubules and FtsZ. Bioorganic & Medicinal Chemistry. 22(18). 5060–5077. 60 indexed citations
19.
Kumar, Kunal, Divya Awasthi, Seung-Yub Lee, et al.. (2013). Benzimidazole-based antibacterial agents against Francisella tularensis. Bioorganic & Medicinal Chemistry. 21(11). 3318–3326. 35 indexed citations
20.
Awasthi, Divya, Kunal Kumar, Susan E. Knudson, Richard A. Slayden, & Iwao Ojima. (2013). SAR Studies on Trisubstituted Benzimidazoles as Inhibitors of Mtb FtsZ for the Development of Novel Antitubercular Agents. Journal of Medicinal Chemistry. 56(23). 9756–9770. 70 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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