Arijit Roy

1.1k citations
44 papers · 695 · h-index 16

Impact in

Papers in

    • Protein Structure and Dynamics 12
    • RNA and protein synthesis mechanisms 7
    • Enzyme function and inhibition 6
    • Cancer therapeutics and mechanisms 3
    • Metabolomics and Mass Spectrometry Studies 3
    • Computational Drug Discovery Methods 17

Arijit Roy

43 papers receiving 684 citations

Peers

Arijit Roy
Comparison fields: 5 of 113
  • Computational Theory and Mathematics 191
  • Biophysics 53
  • Molecular Biology 449
  • Structural Biology 7
  • Health Informatics 6
Replace William W. Chen with:
William W. Chen United States
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Aaron T. Frank United States
James E. Mills United Kingdom
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Melissa Gao Switzerland
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Oleg V. Stroganov Russia
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Citations per field
00.5×7.7×
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Citations per year

Countries citing papers authored by Arijit Roy

Since Specialization
Citations

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

Fields of papers citing papers by Arijit Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arijit Roy, 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 Arijit Roy Line = papers co-authored together Arijit Roy 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 202164
2 202161
3 200756
4 201054
5 201137
6 202136
7 202131
8 202028
9 201325
10 202423
11 201822
12 200921
13 202121
14 202018
15 202217
16 200816
17 202315
18 200614
19 202213
20 202213

About Arijit Roy

Arijit Roy is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 44 papers that have together received 695 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Protein Structure and Dynamics (12 papers), RNA and protein synthesis mechanisms (7 papers), Enzyme function and inhibition (6 papers), Machine Learning in Materials Science (5 papers), Hemoglobin structure and function (4 papers), Cancer therapeutics and mechanisms (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (191 citations), Biophysics (53 citations), Molecular Biology (449 citations), Structural Biology (7 citations) and Health Informatics (6 citations). Arijit Roy has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Sowmya Ramaswamy Krishnan, Srabani Taraphder, Navneet Bung, Gopalakrishnan Bulusu, Dominique Bourgeois, Martin J. Field, Rajgopal Srinivasan, Philippe Carpentier, M. Michael Gromiha and Virgile Adam. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Molecular Graphics and Modelling, The Journal of Physical Chemistry B, Future Medicinal Chemistry and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.

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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