Subha Sen

4.5k citations
65 papers · 3.2k · h-index 30

Impact in

Papers in

Subha Sen

63 papers receiving 3.0k citations

Peers

Subha Sen
Comparison fields: 5 of 116
  • Cardiology and Cardiovascular Medicine 1.4k
  • Endocrinology, Diabetes and Metabolism 440
  • Cancer Research 220
  • Aging 26
  • Molecular Biology 972
Replace Guillermo Dı́az-Araya with:
Guillermo Dı́az-Araya Chile
Thomas G. Parker Canada
Weidong Zhu China
Tadashi Yamakawa Japan
Masakatsu Nishikawa Japan
Gabriele G. Schiattarella Italy
Li‐Ming Gan Sweden
Rainer Meyer Germany
José Marı́n-Garcı́a United States
Manxiang Li China
Subha Sen relative to Guillermo Dı́az-Araya Chile Guillermo Dı́az-Araya's profile →
Citations per field
00.5×1.7×
Guillermo Dı́az-Araya · 1×
Citations per year

Countries citing papers authored by Subha Sen

Since Specialization
Citations

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

Fields of papers citing papers by Subha Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974413
2 1995378
3 2008220
4 2009173
5 1979124
6 1972120
7 2007117
8 2000110
9 2002105
10 200788
11 200787
12 196781
13 201166
14 198366
15 199364
16 201063
17 200160
18 200952
19 199749
20 197245

About Subha Sen

Subha Sen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 65 papers that have together received 3.2k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (14 papers), Renin-Angiotensin System Studies (8 papers), Hormonal Regulation and Hypertension (8 papers), Cardiac Fibrosis and Remodeling (8 papers), Nerve injury and regeneration (5 papers), NF-κB Signaling Pathways (5 papers), Calpain Protease Function and Regulation (4 papers) and Psoriasis: Treatment and Pathogenesis (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Endocrinology, Diabetes and Metabolism (440 citations), Cancer Research (220 citations), Aging (26 citations) and Molecular Biology (972 citations). Subha Sen has collaborated with scholars based in United States, India and China. Frequent co-authors include F. Merlin Bumpus, Sudhiranjan Gupta, Philip A. Khairallah, Robert C. Tarazi, Robert R. Smeby, Wesley W. Brooks, Chester H. Conrad, Kathleen G. Robinson, John A. Hayes and O. Bing. Their work appears in journals such as The Journal of Immunology, Circulation Research, Molecular and Cellular Biochemistry, Journal of the American College of Cardiology and Circulation.

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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