U. Sen

1.0k citations
45 papers · 860 · h-index 16

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Genetics top 10%
    • Bacterial Genetics and Biotechnology

Papers in

    • Protein Structure and Dynamics 10
    • Biochemical and Structural Characterization 8
    • Insect Resistance and Genetics 7
    • Protein Tyrosine Phosphatases 4
    • Enzyme Structure and Function 14

U. Sen

44 papers receiving 843 citations

Peers

U. Sen
Comparison fields: 5 of 79
  • Virology 134
  • Genetics 246
  • Molecular Biology 592
  • Endocrinology 33
  • Immunology 114
Replace Brian A. Kelch with:
Brian A. Kelch United States
Leonora Poljak France
Malcolm Buckle France
C.A. Dennis United Kingdom
Holly H. Hogrefe United States
Hans‐Peter Grunert Germany
Stuart Le Grice United States
Bruno Collinet France
Roberta Fuller United States
J. Dasgupta India
U. Sen relative to Brian A. Kelch United States Brian A. Kelch's profile →
Citations per field
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Brian A. Kelch · 1×
Citations per year

Countries citing papers authored by U. Sen

Since Specialization
Citations

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

Fields of papers citing papers by U. Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008189
2 2000160
3 200052
4 200946
5 200443
6 199931
7 200523
8 201121
9 199921
10 200420
11 201219
12 199618
13 201317
14 201417
15 200615
16 201315
17 200314
18 201514
19 200313
20 201912

About U. Sen

U. Sen is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Endocrinology and Endocrinology, Diabetes and Metabolism, having authored 45 papers that have together received 860 indexed citations. Recurring topics across this work include Enzyme Structure and Function (14 papers), Protein Structure and Dynamics (10 papers), Biochemical and Structural Characterization (8 papers), Insect Resistance and Genetics (7 papers), Bacterial Genetics and Biotechnology (7 papers), Vibrio bacteria research studies (6 papers), Diet, Metabolism, and Disease (4 papers) and Protein Tyrosine Phosphatases (4 papers). The work is most often cited by research in Virology (134 citations), Genetics (246 citations), Molecular Biology (592 citations), Endocrinology (33 citations) and Immunology (114 citations). U. Sen has collaborated with scholars based in India and United States. Frequent co-authors include Kottayil I. Varughese, James Zapf, J. Dasgupta, M. D. Madhusudan, James A. Hoch, Xiaojiang S. Chen, Myron F. Goodman, Ronda Bransteitter, Linda Chelico and Raymond C. Stevens. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Biochemistry, Journal of Molecular Biology and PLoS ONE.

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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