Indira Sen

1.4k citations
42 papers · 1.2k · h-index 19

Impact in

Papers in

    • Protein Hydrolysis and Bioactive Peptides 9
    • Insect Resistance and Genetics 5
    • RNA Interference and Gene Delivery 3
    • Receptor Mechanisms and Signaling 3
    • Renin-Angiotensin System Studies 6
    • Heart Failure Treatment and Management 4

Indira Sen

42 papers receiving 1.1k citations

Peers

Indira Sen
Comparison fields: 5 of 90
  • Cardiology and Cardiovascular Medicine 378
  • Cellular and Molecular Neuroscience 217
  • Molecular Biology 764
  • Immunology and Allergy 59
  • Endocrinology, Diabetes and Metabolism 160
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Citations per field
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Citations per year

Countries citing papers authored by Indira Sen

Since Specialization
Citations

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

Fields of papers citing papers by Indira Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991185
2 1980124
3 199484
4 199856
5 197655
6 197947
7 199946
8 199543
9 197840
10 198637
11 200032
12 198332
13 199131
14 199629
15 197727
16 198425
17 200523
18 197820
19 199118
20 199418

About Indira Sen

Indira Sen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (9 papers), Peptidase Inhibition and Analysis (7 papers), Renin-Angiotensin System Studies (6 papers), Insect Resistance and Genetics (5 papers), Heart Failure Treatment and Management (4 papers), Synthesis and Catalytic Reactions (4 papers), RNA Interference and Gene Delivery (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (378 citations), Cellular and Molecular Neuroscience (217 citations), Molecular Biology (764 citations), Immunology and Allergy (59 citations) and Endocrinology, Diabetes and Metabolism (160 citations). Indira Sen has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Ramaswamy Ramchandran, Ganes C. Sen, Ramkrishna Sadhukhan, Jack R. Cooper, Anthony G. Pucell, Ahsan Husain, Mark W. Bitensky, John C. Hodges, F. Merlin Bumpus and J. R. Cooper. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Synthesis, Proceedings of the National Academy of Sciences and Biochemistry.

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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