Prasun Kumar

596 citations
15 papers · 372 · h-index 10

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Chemical Synthesis and Analysis
    • Glycosylation and Glycoproteins Research
    • Supramolecular Self-Assembly in Materials

Papers in

    • Protein Structure and Dynamics 8
    • RNA and protein synthesis mechanisms 6
    • Glycosylation and Glycoproteins Research 1
    • Enzyme Structure and Function 7

Prasun Kumar

15 papers receiving 367 citations

Peers

Prasun Kumar
Comparison fields: 5 of 71
  • Molecular Biology 282
  • Biomaterials 42
  • Molecular Medicine 12
  • Infectious Diseases 35
  • Materials Chemistry 76
Replace Natalya I. Topilina with:
Natalya I. Topilina United States
Frank H. T. Nelissen Netherlands
Tina Daviter United Kingdom
Matthew R. Bockman United States
Marie Valerio‐Lepiniec France
María Agnese Morando Spain
Daniel Carbajo Spain
Chze Ling Wee United Kingdom
Mathias W. Hackl Germany
Shanmeng Lin China
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Citations per field
00.5×10×13×
Natalya I. Topilina · 1×
Citations per year

Countries citing papers authored by Prasun Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Prasun Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Prasun 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 Prasun Kumar Line = papers co-authored together Prasun Kumar links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202466
2 201256
3 201045
4 202243
5 202140
6 201534
7 201624
8 201519
9 201413
10 199811
11 20178
12 20236
13 20183
14 20132
15 20132

About Prasun Kumar

Prasun Kumar is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Genetics and Spectroscopy, having authored 15 papers that have together received 372 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (7 papers), RNA and protein synthesis mechanisms (6 papers), Computational Drug Discovery Methods (2 papers), Bacterial Genetics and Biotechnology (2 papers), Cancer Mechanisms and Therapy (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Molecular spectroscopy and chirality (1 paper). The work is most often cited by research in Molecular Biology (282 citations), Biomaterials (42 citations), Molecular Medicine (12 citations), Infectious Diseases (35 citations) and Materials Chemistry (76 citations). Prasun Kumar has collaborated with scholars based in India, United Kingdom and Israel. Frequent co-authors include Manju Bansal, Derek N. Woolfson, Kajal Gupta, Dipankar Chatterji, Jonathan Clayden, Neil G. Paterson, Emmanuel D. Levy, Bruno E. Correia, Martin Pačesa and Casper A. Goverde. Their work appears in journals such as Bioinformatics, Supramolecular chemistry, Journal of Computer-Aided Molecular Design, Journal of Applied Crystallography and Journal of Structural Biology.

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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