Supratik Das

1.1k citations
39 papers · 819 · h-index 14

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • RNA modifications and cancer
    • TGF-β signaling in diseases
    • RNA regulation and disease

Papers in

    • RNA and protein synthesis mechanisms 7
    • Chromatin Remodeling and Cancer 4
    • RNA regulation and disease 4
    • vaccines and immunoinformatics approaches 3
    • HIV/AIDS drug development and treatment 6
    • Tuberculosis Research and Epidemiology 4

Supratik Das

37 papers receiving 807 citations

Peers

Supratik Das
Comparison fields: 5 of 73
  • Virology 97
  • Molecular Biology 525
  • Infectious Diseases 127
  • Immunology and Allergy 24
  • Developmental Neuroscience 14
Replace Sylvie C. Meyer with:
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Martha R. Neagu United States
Richtje Leijendekker Netherlands
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Zhanying Hu China
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Citations per field
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Sylvie C. Meyer · 1×
Citations per year

Countries citing papers authored by Supratik Das

Since Specialization
Citations

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

Fields of papers citing papers by Supratik Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003265
2 199780
3 200170
4 200055
5 200951
6 202040
7 202136
8 200135
9 201032
10 200923
11 201816
12 201514
13 200013
14
Experimental tuberculosis of the central nervous system.
197013
15 20168
16 20178
17 20217
18 20097
19 20136
20 20194

About Supratik Das

Supratik Das is a scholar working on Molecular Biology, Infectious Diseases, Virology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 819 indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), RNA and protein synthesis mechanisms (7 papers), HIV/AIDS drug development and treatment (6 papers), Tuberculosis Research and Epidemiology (4 papers), Chromatin Remodeling and Cancer (4 papers), RNA regulation and disease (4 papers), vaccines and immunoinformatics approaches (3 papers) and Trypanosoma species research and implications (3 papers). The work is most often cited by research in Virology (97 citations), Molecular Biology (525 citations), Infectious Diseases (127 citations), Immunology and Allergy (24 citations) and Developmental Neuroscience (14 citations). Supratik Das has collaborated with scholars based in India, United States and France. Frequent co-authors include Umadas Maitra, Mark Shannon, Juliana Soosairajah, Edouard G. Stanley, April Kelly, Wei He, Joan Massagué, Ora Bernard, Victoria C. Foletta and Tapan Maiti. Their work appears in journals such as Journal of Biological Chemistry, Retrovirology, PLoS ONE, Molecular and Cellular Biochemistry and Current Protein and Peptide Science.

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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