Sumit Kumar

903 citations
44 papers · 634 · h-index 15

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 9
    • HIV/AIDS drug development and treatment 3
    • Synthesis and biological activity 9
    • Multicomponent Synthesis of Heterocycles 4

Sumit Kumar

42 papers receiving 626 citations

Peers

Sumit Kumar
Comparison fields: 5 of 105
  • Computational Theory and Mathematics 138
  • Infectious Diseases 115
  • Insect Science 80
  • Organic Chemistry 113
  • Molecular Biology 229
Replace Murali Aarthy with:
Murali Aarthy India
Gustavo Machado das Neves Brazil
Misha Itkin United States
Mohd Akif India
Amal Ahmed Mahmoud Egypt
Annalaura Brai Italy
Igor José dos Santos Nascimento Brazil
Xuemei Chu China
Eric M. Lewandowski United States
Eun‐Mi Kim South Korea
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Sumit Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sumit Kumar Line = papers co-authored together Sumit Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020119
2 201892
3 201946
4 202034
5 202025
6 201722
7 202121
8 202221
9 202220
10 202119
11 202117
12 202117
13 202116
14 201716
15 201815
16 202312
17 202012
18 202311
19 202310
20 20189

About Sumit Kumar

Sumit Kumar is a scholar working on Infectious Diseases, Organic Chemistry, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 44 papers that have together received 634 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Synthesis and biological activity (9 papers), Insect Resistance and Genetics (6 papers), Multicomponent Synthesis of Heterocycles (4 papers), Malaria Research and Control (4 papers), Insect-Plant Interactions and Control (3 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Computational Theory and Mathematics (138 citations), Infectious Diseases (115 citations), Insect Science (80 citations), Organic Chemistry (113 citations) and Molecular Biology (229 citations). Sumit Kumar has collaborated with scholars based in India, United States and China. Frequent co-authors include Brijesh Kumar Rathi, Poonam Poonam, Indrakant Kumar Singh, Archana Kumari Singh, Prakasha Kempaiah, Pooja Mittal, Ravi V. Durvasula, Prem P. Sharma, Dhruv Kumar and Lindomar Pena. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, RSC Advances, Current Topics in Medicinal Chemistry, Drug Discovery Today and RSC Medicinal Chemistry.

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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