Tapas Kumar Sengupta

2.1k citations
47 papers · 1.9k · h-index 21

Impact in

    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions

Papers in

    • RNA Research and Splicing 8
    • RNA and protein synthesis mechanisms 7
    • Bacterial biofilms and quorum sensing 4
    • RNA Interference and Gene Delivery 3
    • interferon and immune responses 4

Tapas Kumar Sengupta

44 papers receiving 1.8k citations

Peers

Tapas Kumar Sengupta
Comparison fields: 5 of 125
  • Molecular Biology 1.0k
  • Oncology 375
  • Cancer Research 172
  • Immunology 248
  • Pollution 91
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Citations per field
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Citations per year

Countries citing papers authored by Tapas Kumar Sengupta

Since Specialization
Citations

This map shows the geographic impact of Tapas Kumar 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 Kumar 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 Kumar Sengupta more than expected).

Fields of papers citing papers by Tapas Kumar Sengupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998208
2 2006198
3 2004154
4 2011123
5 2007104
6 2013101
7 201097
8 200981
9 200666
10 200462
11 199561
12 199552
13 200650
14 199648
15 201248
16 201542
17 199939
18 201338
19 200332
20 201332

About Tapas Kumar Sengupta

Tapas Kumar Sengupta is a scholar working on Molecular Biology, Immunology, Oncology, Nutrition and Dietetics and Spectroscopy, having authored 47 papers that have together received 1.9k 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), Bacterial biofilms and quorum sensing (4 papers), interferon and immune responses (4 papers), RNA Interference and Gene Delivery (3 papers), Reservoir Engineering and Simulation Methods (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Oncology (375 citations), Cancer Research (172 citations), Immunology (248 citations) and Pollution (91 citations). Tapas Kumar 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, Swadhin K. Mandal and Subhankar Santra. Their work appears in journals such as Current Microbiology, Journal of Biological Chemistry, Journal of Bone and Joint Surgery, The Journal of Experimental Medicine and Biochemical 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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