Sumit Kumar

844 citations
43 papers · 558 · h-index 14

Impact in

Papers in

    • Synthesis and biological activity 9
    • Multicomponent Synthesis of Heterocycles 4
    • Insect Resistance and Genetics 6
    • Chemical Synthesis and Analysis 3

Sumit Kumar

41 papers receiving 552 citations

Peers

Sumit Kumar
Comparison fields: 5 of 106
  • Computational Theory and Mathematics 131
  • Infectious Diseases 116
  • Insect Science 75
  • Organic Chemistry 109
  • Molecular Biology 209
Replace Priyashi Rao with:
Priyashi Rao India
Kazunari Hattori Japan
Luciano Porto Kagami Brazil
Carolina Borsoi Moraes Brazil
Gustavo Machado das Neves Brazil
Aldo Segura‐Cabrera Mexico
Dana Stein Israel
Ícaro Putinhon Caruso Brazil
Cláudio César Cirne-Santos Brazil
Mohd Akif India
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Citations per field
00.5×4.7×
Priyashi Rao · 1×
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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020110
2 201874
3 201943
4 202033
5 202022
6 202220
7 202120
8 201720
9 202217
10 202116
11 202116
12 201716
13 202115
14 202113
15 201812
16 202012
17 202311
18 202310
19 20189
20 20239

About Sumit Kumar

Sumit Kumar is a scholar working on Organic Chemistry, Molecular Biology, Infectious Diseases, Computational Theory and Mathematics and Public Health, Environmental and Occupational Health, having authored 43 papers that have together received 558 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Synthesis and biological activity (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Insect Resistance and Genetics (6 papers), Malaria Research and Control (4 papers), Multicomponent Synthesis of Heterocycles (4 papers), Chemical Synthesis and Analysis (3 papers) and Insect-Plant Interactions and Control (3 papers). The work is most often cited by research in Computational Theory and Mathematics (131 citations), Infectious Diseases (116 citations), Insect Science (75 citations), Organic Chemistry (109 citations) and Molecular Biology (209 citations). Sumit Kumar has collaborated with scholars based in India, United States and China. Frequent co-authors include Poonam Poonam, Brijesh Rathi, Indrakant K. Singh, Archana Singh, Prakasha Kempaiah, Pooja Mittal, Ravi Durvasula, Prem P. Sharma, Dhruv Kumar and Uma Shankar. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, New Journal of Chemistry, RSC Medicinal Chemistry, Current Topics in Medicinal Chemistry and RSC Advances.

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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