Sudip Sen

1.6k citations
67 papers · 1.2k · h-index 18

Impact in

Papers in

    • Cell death mechanisms and regulation 6
    • RNA modifications and cancer 4
    • RNA Interference and Gene Delivery 4

Sudip Sen

62 papers receiving 1.1k citations

Peers

Sudip Sen
Comparison fields: 5 of 119
  • Molecular Medicine 88
  • Cardiology and Cardiovascular Medicine 237
  • Cancer Research 108
  • Molecular Biology 462
  • Oncology 183
Replace Elisabetta Ferraro with:
Elisabetta Ferraro Italy
Liang Yang China
Xiaoping Wang China
Eduard Berenshtein Israel
Giovanni Luca Romano Italy
Xie Xie China
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Sudip Sen relative to Elisabetta Ferraro Italy Elisabetta Ferraro's profile →
Citations per field
00.5×3.7×
Elisabetta Ferraro · 1×
Citations per year

Countries citing papers authored by Sudip Sen

Since Specialization
Citations

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

Fields of papers citing papers by Sudip Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005124
2 1991107
3 200397
4 200875
5 200571
6 200559
7 200349
8 201348
9 196847
10
Role of mitochondria in quercetin-enhanced chemotherapeutic response in human non-small cell lung carcinoma H-520 cells.
200640
11 200435
12 201633
13 200131
14 197931
15 201131
16 196928
17 197127
18 200725
19 201917
20 200617

About Sudip Sen

Sudip Sen is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Oncology and Physiology, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (6 papers), Cell death mechanisms and regulation (6 papers), RNA modifications and cancer (4 papers), Cancer Cells and Metastasis (4 papers), RNA Interference and Gene Delivery (4 papers), Telomeres, Telomerase, and Senescence (3 papers), Cancer-related molecular mechanisms research (3 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Molecular Medicine (88 citations), Cardiology and Cardiovascular Medicine (237 citations), Cancer Research (108 citations), Molecular Biology (462 citations) and Oncology (183 citations). Sudip Sen has collaborated with scholars based in India, Türkiye and United States. Frequent co-authors include Neeta Singh, Neeta Singh, Himani Sharma, Himani Sharma, Debabrata Mukherjee, F. Merlin Bumpus, Archna Singh, Narendra Kumar Bhardwaj, Vinod Kochupillai and Robert R. Smeby. Their work appears in journals such as American Journal of Physiology-Legacy Content, Cancer Biology & Therapy, Investigative Ophthalmology & Visual Science, Cellular and Molecular Life Sciences and Hypertension.

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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