Sumit Kumar

844 total citations
43 papers, 558 citations indexed

About

Sumit Kumar is a scholar working on Organic Chemistry, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Sumit Kumar has authored 43 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Organic Chemistry, 15 papers in Molecular Biology and 13 papers in Infectious Diseases. Recurrent topics in Sumit Kumar's work include Computational Drug Discovery Methods (11 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Synthesis and biological activity (9 papers). Sumit Kumar is often cited by papers focused on Computational Drug Discovery Methods (11 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Synthesis and biological activity (9 papers). Sumit Kumar collaborates with scholars based in India, United States and China. Sumit Kumar's co-authors include Brijesh Rathi, Poonam Poonam, Archana Singh, Indrakant K. Singh, Prakasha Kempaiah, Pooja Mittal, Ravi Durvasula, Prem P. Sharma, Dhruv Kumar and Uma Shankar and has published in prestigious journals such as Scientific Reports, RSC Advances and International Journal of Biological Macromolecules.

In The Last Decade

Sumit Kumar

41 papers receiving 552 citations

Peers

Sumit Kumar

CTM

Aldo Segura‐Cabrera Mexico

Priyashi Rao India

Luciano Porto Kagami Brazil

Grace Mugumbate South Africa

Gustavo Machado das Neves Brazil

Joyce Villa Verde Bastos Borba Brazil

Murali Aarthy India

Jian‐Guo Wang China

Kazunari Hattori Japan

Xuemei Chu China

Aldo Segura‐Cabrera Mexico

Sumit Kumar

215 ×1.0

40 ×0.3

CTM

80 ×0.7

76 ×0.7

73 ×0.7

Citations per year, relative to Sumit Kumar Sumit Kumar (= 1×) peers Aldo Segura‐Cabrera

Countries citing papers authored by Sumit Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Sumit Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumit Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sumit Kumar. A scholar is included among the top collaborators of Sumit 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 Sumit Kumar. Sumit 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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20 of 20 papers shown

Jain, Rajat, et al.. (2025). Advancement in modeling of Alzheimer’s disease: a comprehensive review of preclinical screening platforms. Frontiers in Aging Neuroscience. 17. 1646551–1646551.

Rathi, Brijesh, et al.. (2025). Targeting Plasmodium falciparum: Synthesis and evaluation of Phthalimide-HEA derivatives. Chemical Biology Letters. 12(2). 1260–1260. 1 indexed citations

Kumar, Sumit, et al.. (2025). Network pharmacology and in silico investigation into the therapeutic potential of phytoconstituents of Peucedanum ostruthium as anti-tubercular agents. Health Sciences Review. 14. 100219–100219. 1 indexed citations

Shi, Chunwei, et al.. (2025). Emerging threats of H5N1 clade 2.3.4.4b: cross-species transmission, pathogenesis, and pandemic risk. Frontiers in Cellular and Infection Microbiology. 15. 1625665–1625665. 1 indexed citations

Zahedifard, Farnaz, et al.. (2024). Phenotypic screening reveals a highly selective phthalimide-based compound with antileishmanial activity. PLoS neglected tropical diseases. 18(3). e0012050–e0012050. 3 indexed citations

Jiang, Xiangyi, Zhen Gao, Prem P. Sharma, et al.. (2024). Discovery of low‐molecular‐weight phenylalanine derivatives as novel HIV capsid modulators with improved antiretroviral activity and metabolic stability. Journal of Medical Virology. 96(4). e29594–e29594. 1 indexed citations

Kumar, Sumit, Xujie Zhang, Dominic Gagnon, et al.. (2024). Synthesis and Evaluation of Fluorinated Piperazine‐Hydroxyethylamine Analogues as Potential Antiplasmodial Candidates. ChemMedChem. 20(4). e202400616–e202400616.

Singh, Archana, et al.. (2024). Tailored midgut gene expression in Spodoptera litura (Lepidoptera: Noctuidae) feeding on Zea mays indicates a tug of war. Arthropod-Plant Interactions. 18(3). 547–567. 1 indexed citations

Kumar, Sumit, et al.. (2023). Recent updates on the biological efficacy of approved drugs and potent synthetic compounds against SARS-CoV-2. RSC Advances. 13(6). 3677–3687. 10 indexed citations

10.

Singh, Anupama, et al.. (2023). A Clinical Insight on New Discovered Molecules and Repurposed Drugs for the Treatment of COVID-19. Vaccines. 11(2). 332–332. 11 indexed citations

11.

Kumar, Sumit, et al.. (2023). Easy and efficient direct conversion of aryl nitrile into aryl amide. Research on Chemical Intermediates. 49(9). 3951–3962. 3 indexed citations

12.

Kumar, Sumit, Shakshi Bhardwaj, Aaftaab Sethi, et al.. (2022). Drug repurposing against SARS-CoV-2 using computational approaches. Drug Discovery Today. 27(7). 2015–2027. 17 indexed citations

13.

Singh, Bhupendra Pratap, et al.. (2022). Variations in the Yamuna River Water Quality During the COVID-19 Lockdowns. Frontiers in Environmental Science. 10. 20 indexed citations

14.

Sharma, Prem P., Sumit Kumar, Mitul Srivastava, et al.. (2021). Computational study of novel inhibitory molecule, 1-(4-((2S,3S)-3-amino-2-hydroxy-4-phenylbutyl)piperazin-1-yl)-3-phenylurea, with high potential to competitively block ATP binding to the RNA dependent RNA polymerase of SARS-CoV-2 virus. Journal of Biomolecular Structure and Dynamics. 40(20). 10162–10180. 2 indexed citations

15.

Singh, Archana, et al.. (2021). Dynamics of Zea mays transcriptome in response to a polyphagous herbivore, Spodoptera litura. Functional & Integrative Genomics. 21(5-6). 571–592. 16 indexed citations

16.

Kumar, Sumit, et al.. (2021). Multi-targeting approach for nsp3, nsp9, nsp12 and nsp15 proteins of SARS-CoV-2 by Diosmin as illustrated by molecular docking and molecular dynamics simulation methodologies. Methods. 195. 44–56. 16 indexed citations

17.

Gupta, Yash, Sumit Kumar, Samantha E. Zak, et al.. (2021). Antiviral evaluation of hydroxyethylamine analogs: Inhibitors of SARS-CoV-2 main protease (3CLpro), a virtual screening and simulation approach. Bioorganic & Medicinal Chemistry. 47. 116393–116393. 15 indexed citations

18.

Kumar, Sumit, Prem P. Sharma, Uma Shankar, et al.. (2020). Discovery of New Hydroxyethylamine Analogs against 3CL ^pro Protein Target of SARS-CoV-2: Molecular Docking, Molecular Dynamics Simulation, and Structure–Activity Relationship Studies. Journal of Chemical Information and Modeling. 60(12). 5754–5770. 110 indexed citations

19.

Agrawal, Piyush, Sumit Kumar, Archana Singh, Gajendra P. S. Raghava, & Indrakant K. Singh. (2019). NeuroPIpred: a tool to predict, design and scan insect neuropeptides. Scientific Reports. 9(1). 5129–5129. 43 indexed citations

20.

Singh, Archana, et al.. (2018). In silico prediction of active site and in vitro DNase and RNase activities of Helicoverpa-inducible pathogenesis related-4 protein from Cicer arietinum. International Journal of Biological Macromolecules. 113. 869–880. 12 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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