Sanjit Kumar

27 papers receiving 291 citations

Peers

Sanjit Kumar
Comparison fields: 5 of 77
  • Virology 87
  • Molecular Medicine 12
  • Biotechnology 21
  • Epidemiology 63
  • Toxicology 6
Replace Jagadish Chandrabose Sundaramurthi with:
Jagadish Chandrabose Sundaramurthi India
Muhammad Shahab China
Pooja Kesari India
Abhimanyu K. Singh India
Richard J. Stern United States
Sandra Pampuro Argentina
Tianhong Zhang China
W J Syu Taiwan
Dongrong Yi China
Carmen M. Martín-Navarro Spain
Sanjit Kumar relative to Jagadish Chandrabose Sundaramurthi India Jagadish Chandrabose Sundaramurthi's profile →
Citations per field
00.5×2.6×
Jagadish Chandrabose Sundaramurthi · 1×
Citations per year

Countries citing papers authored by Sanjit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sanjit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sanjit 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 Sanjit Kumar Line = papers co-authored together Sanjit Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202191
2 201129
3 200928
4 202416
5 202315
6 202215
7 201014
8 202113
9 202310
10 20209
11 20107
12 20226
13 20226
14 20116
15 20096
16 20224
17 20244
18 20223
19 20243
20 20173

About Sanjit Kumar

Sanjit Kumar is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Molecular Medicine and Organic Chemistry, having authored 33 papers that have together received 298 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (3 papers), Biochemical and Molecular Research (3 papers), Computational Drug Discovery Methods (3 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Drug Transport and Resistance Mechanisms (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Natural product bioactivities and synthesis (2 papers) and Synthesis and biological activity (2 papers). The work is most often cited by research in Virology (87 citations), Molecular Medicine (12 citations), Biotechnology (21 citations), Epidemiology (63 citations) and Toxicology (6 citations). Sanjit Kumar has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include Punit Kaur, N. Singh, Sujata Sharma, Khushboo Chaudhary, Bhupendra Nath Tripathi, Sanjay Barua, Nitin Khandelwal, Thachamvally Riyesh, Yogesh Chander and Anand Kumar. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Chemistry & Biodiversity, International Journal of Biological Macromolecules, Biological Trace Element Research and Acta Tropica.

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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