Supratik Das

1.1k citations
35 papers · 794 indexed · 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

    • HIV Research and Treatment 12
    • HIV/AIDS drug development and treatment 8
    • Tuberculosis Research and Epidemiology 4

Supratik Das

33 papers receiving 783 citations

Peers

Supratik Das
Comparison fields: 5 of 71
  • Virology 104
  • Molecular Biology 537
  • Infectious Diseases 136
  • Immunology and Allergy 25
  • Cell Biology 56
Replace Sylvie C. Meyer with:
Sylvie C. Meyer United States
Martha R. Neagu United States
Zhanying Hu China
Sharon F. Jamison United States
Anna Tretiakova United States
Sigrid Weiler Germany
Magdalena Krupa United States
Ashley I. Beyer United States
Joanne C. Griffiths United Kingdom
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Supratik Das relative to Sylvie C. Meyer United States Sylvie C. Meyer's profile →
Citations per field
00.5×9.7×
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-authorship network

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
#Work
1 20251
2 20244
3 20230
4 20221
5 20222
6 202134
7 20202
8 20203
9 20202
10 202038
11 20177
12 20167
13 201514
14 20152
15 20136
16 200951
17 200170
18 200135
19 200013
20 199778

About Supratik Das

Supratik Das is a scholar working on Virology, Infectious Diseases, Immunology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 794 indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), HIV/AIDS drug development and treatment (8 papers), RNA and protein synthesis mechanisms (7 papers), RNA regulation and disease (4 papers), Tuberculosis Research and Epidemiology (4 papers), Mosquito-borne diseases and control (4 papers), Chromatin Remodeling and Cancer (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Virology (104 citations), Molecular Biology (537 citations), Infectious Diseases (136 citations), Immunology and Allergy (25 citations) and Cell Biology (56 citations). Supratik Das has collaborated with scholars based in India, United States and France. Frequent co-authors include Umadas Maitra, Joan Massagué, Wei He, Mark Shannon, Victoria C. Foletta, Edouard G. Stanley, Juliana Soosairajah, Ora Bernard, April Kelly and Tapan Maiti. Their work appears in journals such as Journal of Biological Chemistry, Retrovirology, Molecular and Cellular Biochemistry, PLoS ONE and Travel Medicine and Infectious Disease.

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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