Srikumar Sengupta

2.0k citations
19 papers · 1.6k · h-index 13

Impact in

Papers in

    • RNA and protein synthesis mechanisms 5
    • RNA Research and Splicing 4
    • Molecular Biology Techniques and Applications 3
    • RNA modifications and cancer 3
    • Pluripotent Stem Cells Research 3
    • Cancer-related molecular mechanisms research 5
    • MicroRNA in disease regulation 4

Srikumar Sengupta

19 papers receiving 1.6k citations

Peers

Srikumar Sengupta
Comparison fields: 5 of 110
  • Cancer Research 682
  • Otorhinolaryngology 115
  • Molecular Biology 1.1k
  • Oncology 346
  • Hepatology 58
Replace Astrid E. Greijer with:
Astrid E. Greijer Netherlands
Tobias Grob Germany
Daoud Sie Netherlands
Rekha V. Kumar India
Yoshihiro Yoshitake Japan
Takashi Yugawa Japan
Sonia Lameiras France
Susanne Popp Germany
Seiya Yokoyama Japan
Aaron Bossler United States
Srikumar Sengupta relative to Astrid E. Greijer Netherlands Astrid E. Greijer's profile →
Citations per field
00.5×1.5×1.9×
Astrid E. Greijer · 1×
Citations per year

Countries citing papers authored by Srikumar Sengupta

Since Specialization
Citations

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

Fields of papers citing papers by Srikumar Sengupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2007382
2 2008341
3 2006194
4 2009114
5 2013105
6 2009100
7 200386
8 200670
9 201963
10 200836
11 201436
12 201122
13 201017
14 200910
15 20228
16 20114
17 20204
18 20204
19 20102

About Srikumar Sengupta

Srikumar Sengupta is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Hepatology, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), RNA and protein synthesis mechanisms (5 papers), MicroRNA in disease regulation (4 papers), RNA Research and Splicing (4 papers), Liver physiology and pathology (3 papers), Molecular Biology Techniques and Applications (3 papers), RNA modifications and cancer (3 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Cancer Research (682 citations), Otorhinolaryngology (115 citations), Molecular Biology (1.1k citations), Oncology (346 citations) and Hepatology (58 citations). Srikumar Sengupta has collaborated with scholars based in United States, Slovakia and Taiwan. Frequent co-authors include Michael A. Newton, Paul Ahlquist, Johan A. den Boon, Bill Sugden, I‐How Chen, Yu-Juen Cheng, Allan Hildesheim, James A. Thomson, Chien‐Jen Chen and Ron Stewart. Their work appears in journals such as Journal of Visualized Experiments, PLoS Computational Biology, Cancer Research, Stem Cells and Proceedings of the National Academy of Sciences.

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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