Tapas K. Sengupta

2.1k citations
46 papers · 1.8k · 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
    • Cytokine Signaling Pathways and Interactions 5

Tapas K. Sengupta

44 papers receiving 1.8k citations

Peers

Tapas K. Sengupta
Comparison fields: 5 of 124
  • Molecular Biology 1.0k
  • Oncology 368
  • Cancer Research 172
  • Immunology 249
  • Pollution 92
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Tapas K. Sengupta relative to Naoki Utoguchi Japan Naoki Utoguchi's profile →
Citations per field
00.5×3.4×
Naoki Utoguchi · 1×
Citations per year

Countries citing papers authored by Tapas K. Sengupta

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Tapas K. Sengupta Line = papers co-authored together Tapas K. Sengupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998208
2 2006191
3 2004151
4 2011123
5 2007101
6 2013101
7 201096
8 200982
9 200666
10 200460
11 199559
12 199552
13 200650
14 199648
15 201248
16 201542
17 199938
18 201336
19 200332
20 201332

About Tapas K. Sengupta

Tapas K. Sengupta is a scholar working on Molecular Biology, Oncology, Immunology, Physiology and Nutrition and Dietetics, having authored 46 papers that have together received 1.8k 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), Spectroscopy and Chemometric Analyses (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Oncology (368 citations), Cancer Research (172 citations), Immunology (249 citations) and Pollution (92 citations). Tapas K. Sengupta has collaborated with scholars based in United States, India and Canada. 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, 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.

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