Ashis Biswas

62 papers receiving 1.9k citations

Hit Papers

Evaluation of green tea polyphenols as novel corona virus (SARS CoV-2) main protease (Mpro) inhibitors – an in silico docking and molecular dynamics simulation study 2020 · 236 citations
2360+2+4Years since publication50100150200

Peers

Ashis Biswas
Comparison fields: 5 of 109
  • Clinical Biochemistry 164
  • Inorganic Chemistry 309
  • Computational Theory and Mathematics 230
  • Oncology 369
  • Molecular Biology 889
Replace R. Luise Krauth‐Siegel with:
R. Luise Krauth‐Siegel Germany
Paul W. Groundwater United Kingdom
M. Luísa Jimeno Spain
Duy H. Hua United States
Sankaranarayanan Murugesan India
Roberta Galeazzi Italy
Michel Baltas France
Bruno Botta Italy
Robert Vince United States
Athina Geronikaki Greece
Ashis Biswas relative to R. Luise Krauth‐Siegel Germany R. Luise Krauth‐Siegel's profile →
Citations per field
00.5×1.7×
R. Luise Krauth‐Siegel · 1×
Citations per year

Countries citing papers authored by Ashis Biswas

Since Specialization
Citations

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

Fields of papers citing papers by Ashis Biswas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evaluation of green tea polyphenols as novel corona virus (SARS CoV-2) main protease (Mpro) inhibitors – an in silico docking and molecular dynamics simulation study
Hit paper breakdown →
2020236
2 2015105
3 200498
4 200575
5 201673
6 202069
7 201463
8 201161
9 201758
10 201557
11 202053
12 200752
13 201051
14 201449
15 200847
16 200644
17 201939
18 201237
19 201532
20 202031

About Ashis Biswas

Ashis Biswas is a scholar working on Molecular Biology, Infectious Diseases, Physiology, Oncology and Cell Biology, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Heat shock proteins research (25 papers), Connexins and lens biology (18 papers), Yersinia bacterium, plague, ectoparasites research (9 papers), Biochemical effects in animals (8 papers), Computational Drug Discovery Methods (8 papers), Metal complexes synthesis and properties (8 papers), Advanced Glycation End Products research (6 papers) and Leprosy Research and Treatment (6 papers). The work is most often cited by research in Clinical Biochemistry (164 citations), Inorganic Chemistry (309 citations), Computational Theory and Mathematics (230 citations), Oncology (369 citations) and Molecular Biology (889 citations). Ashis Biswas has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Ayon Chakraborty, Rajesh Ghosh, K. P. Das, Snehasis Chowdhuri, Alok Kumar Panda, Ram H. Nagaraj, Rupam Dinda, Subhashree P. Dash, Sandip K. Nandi and Sagarika Pasayat. Their work appears in journals such as International Journal of Biological Macromolecules, Biochemistry, Journal of Biomolecular Structure and Dynamics, Dalton Transactions and FEBS Journal.

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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