Prateek Kumar

1.2k citations
48 papers · 825 · h-index 19

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Vectors

Papers in

    • Protein Structure and Dynamics 5
    • RNA and protein synthesis mechanisms 5
    • Ubiquitin and proteasome pathways 4
    • SARS-CoV-2 and COVID-19 Research 9

Prateek Kumar

47 papers receiving 818 citations

Peers

Prateek Kumar
Comparison fields: 5 of 102
  • Aging 55
  • Infectious Diseases 239
  • Virology 28
  • Molecular Biology 399
  • Public Health, Environmental and Occupational Health 151
Replace Jan Šilhán with:
Jan Šilhán Czechia
Md. Zubbair Malik India
Jonathan Cechetto South Korea
Xavier C. Ding Switzerland
Sajib Chakraborty Bangladesh
Ákos Putics Hungary
Elizabeth Bilsland United Kingdom
Liangliang Kong China
Ashok Kumar Patel India
Nuria de Pedro Spain
Prateek Kumar relative to Jan Šilhán Czechia Jan Šilhán's profile →
Citations per field
00.5×2×3×3.6×
Jan Šilhán · 1×
Citations per year

Countries citing papers authored by Prateek Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Prateek Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202086
2 201080
3 202034
4 201734
5 202032
6 202130
7 202028
8 201927
9 202027
10 202227
11 202326
12 202126
13 201925
14 202021
15 202021
16 201920
17 202120
18 202020
19 202119
20 202018

About Prateek Kumar

Prateek Kumar is a scholar working on Molecular Biology, Infectious Diseases, Public Health, Environmental and Occupational Health, Computational Theory and Mathematics and Virology, having authored 48 papers that have together received 825 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Mosquito-borne diseases and control (11 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (5 papers), HIV Research and Treatment (5 papers), Ubiquitin and proteasome pathways (4 papers) and Malaria Research and Control (4 papers). The work is most often cited by research in Aging (55 citations), Infectious Diseases (239 citations), Virology (28 citations), Molecular Biology (399 citations) and Public Health, Environmental and Occupational Health (151 citations). Prateek Kumar has collaborated with scholars based in India, United States and Russia. Frequent co-authors include Rajanish Giri, Kundlik Gadhave, Neha Garg, Taniya Bhardwaj, Vladimir N. Uversky, Ankur Kumar, Amit Kumar, Carsten Hoege, Anne Schwager and Nathan W. Goehring. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Virology, Journal of Biological Chemistry, Cellular and Molecular Life Sciences and Microbial Pathogenesis.

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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