Tapas Biswas

965 citations
45 papers · 773 · h-index 16

Impact in

    • Escherichia coli research studies
    • Vibrio bacteria research studies
  • Immunology top 10%
    • Immune Response and Inflammation
    • Immunodeficiency and Autoimmune Disorders
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Immune Response and Inflammation 17
    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 5
    • Aquaculture disease management and microbiota 4
    • Escherichia coli research studies 8
    • Vibrio bacteria research studies 6

Tapas Biswas

45 papers receiving 748 citations

Peers

Tapas Biswas
Comparison fields: 5 of 107
  • Endocrinology 109
  • Immunology 344
  • Microbiology 60
  • Epidemiology 244
  • Rheumatology 98
Replace M Tsujimoto with:
M Tsujimoto Japan
Jörgen Bergström Sweden
Matthew Johnson United States
Gopalan Soman United States
Stefanie N. Vogel United States
Zachary Cusumano United States
H. Mohr Germany
Bryan Smith United States
C. Nicole Rosenzweig United States
Weixian Chen China
Tapas Biswas relative to M Tsujimoto Japan M Tsujimoto's profile →
Citations per field
00.5×6.8×
M Tsujimoto · 1×
Citations per year

Countries citing papers authored by Tapas Biswas

Since Specialization
Citations

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

Fields of papers citing papers by Tapas Biswas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990113
2 2015111
3 199088
4 198732
5 198729
6 200327
7 200927
8 200426
9 201425
10 199425
11 200424
12 201522
13 200019
14 200818
15 201117
16 200716
17 201013
18 199612
19 200312
20 201510

About Tapas Biswas

Tapas Biswas is a scholar working on Immunology, Endocrinology, Epidemiology, Molecular Biology and Microbiology, having authored 45 papers that have together received 773 indexed citations. Recurring topics across this work include Immune Response and Inflammation (17 papers), Escherichia coli research studies (8 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Vibrio bacteria research studies (6 papers), Immunotherapy and Immune Responses (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Aquaculture disease management and microbiota (4 papers). The work is most often cited by research in Endocrinology (109 citations), Immunology (344 citations), Microbiology (60 citations), Epidemiology (244 citations) and Rheumatology (98 citations). Tapas Biswas has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Frederick W. Miller, P H Plotz, Avijit Ray, Animesh Kumar Rakshit, Kristin Waite, Satya P. Moulik, Animesh Pan, Amlan Biswas, Paul H. Plötz and Ratna Biswas. Their work appears in journals such as Cytokine, Molecular Immunology, Cellular and Molecular Immunology, Immunobiology and Cellular Signalling.

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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