Tapas K. Sengupta
- Molecular Biology top 10%
- RNA Research and Splicing 8
- RNA and protein synthesis mechanisms 7
- Bacterial biofilms and quorum sensing 4
- RNA Interference and Gene Delivery 3
- RNA modifications and cancer 3
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions 5
- Cancer Research top 10%
- Immunology top 10%
- interferon and immune responses 4
- Pollution top 10%
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- Spectroscopy and Quantum Chemical Studies 2
- Co-authors
- Eleanor K. SpicerDaniel FernandesSumita BandyopadhyayLionel B. IvashkivPeggy ScherleGregor P. JoseYoko OtakeInderjit Singh
- Journals
- Journal of Biological Chemistry (3 papers)Current Microbiology (3 papers)The Journal of Experimental Medicine (2 papers)
- Partner nations
- United StatesIndiaSweden
In The Last Decade
Tapas K. Sengupta
43 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 125
- Molecular Biology 1.1k
- Oncology 393
- Cancer Research 200
- Immunology 272
- Pollution 76
Countries citing papers authored by Tapas K. Sengupta
This map shows the geographic impact of Tapas K. Sengupta'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 K. Sengupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tapas K. Sengupta more than expected).
Fields of papers citing papers by Tapas K. Sengupta
This network shows the impact of papers produced by Tapas K. Sengupta. 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 K. Sengupta. The network helps show where Tapas K. Sengupta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tapas K. Sengupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 6 | |
| 4 | 2021 | 7 | |
| 5 | 2021 | 8 | |
| 6 | 2016 | 11 | |
| 7 | 2015 | 33 | |
| 8 | 2014 | 1 | |
| 9 | 2013 | 83 | |
| 10 | 2013 | 32 | |
| 11 | 2010 | 9 | |
| 12 | 2009 | 77 | |
| 13 | 2009 | 4 | |
| 14 | 2007 | 101 | |
| 15 | 2003 | 32 | |
| 16 | 1999 | 8 | |
| 17 | 1996 | 45 | |
| 18 | 1995 | 50 | |
| 19 | 1995 | 57 | |
| 20 | 1992 | 10 |
About Tapas K. Sengupta
Tapas K. Sengupta is a scholar working on Applied Microbiology and Biotechnology, Molecular Biology, Energy Engineering and Power Technology, Immunology and Pharmacology, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (7 papers), Cytokine Signaling Pathways and Interactions (5 papers), interferon and immune responses (4 papers), Bacterial biofilms and quorum sensing (4 papers), RNA Interference and Gene Delivery (3 papers), RNA modifications and cancer (3 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Oncology (393 citations), Cancer Research (200 citations), Immunology (272 citations) and Pollution (76 citations). Tapas K. Sengupta has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Eleanor K. Spicer, Daniel Fernandes, Sumita Bandyopadhyay, Lionel B. Ivashkiv, Peggy Scherle, Gregor P. Jose, Yoko Otake, Inderjit Singh, Subhankar Santra and Swadhin K. Mandal. Their work appears in journals such as Journal of Biological Chemistry, Current Microbiology, The Journal of Experimental Medicine, Biochemical Journal and Journal of Bone and Joint Surgery.
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.