U. Sen

998 citations
45 papers · 830 · h-index 16

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • RNA and protein synthesis mechanisms
    • Protein Structure and Dynamics
    • Biochemical and Structural Characterization

Papers in

    • Protein Structure and Dynamics 10
    • Biochemical and Structural Characterization 8
    • Insect Resistance and Genetics 7
    • Enzyme Structure and Function 15

U. Sen

44 papers receiving 817 citations

Peers

U. Sen
Comparison fields: 5 of 79
  • Virology 133
  • Molecular Biology 591
  • Genetics 239
  • Endocrinology 32
  • Biotechnology 50
Replace Leonora Poljak with:
Leonora Poljak France
Brian A. Kelch United States
C.A. Dennis United Kingdom
Malcolm Buckle France
Holly H. Hogrefe United States
J. Dasgupta India
Roberta Fuller United States
Lance M. Hellman United States
Stuart Le Grice United States
Shannon M. Miller United States
U. Sen relative to Leonora Poljak France Leonora Poljak's profile →
Citations per field
00.5×1.5×
Leonora Poljak · 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 2008186
2 2000147
3 200051
4 200945
5 200440
6 199930
7 200523
8 199921
9 201219
10 201119
11 199618
12 200418
13 201417
14 201317
15 201315
16 200615
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 Ecology, having authored 45 papers that have together received 830 indexed citations. Recurring topics across this work include Enzyme Structure and Function (15 papers), Protein Structure and Dynamics (10 papers), Biochemical and Structural Characterization (8 papers), Bacterial Genetics and Biotechnology (7 papers), Insect Resistance and Genetics (7 papers), Vibrio bacteria research studies (6 papers), Diet, Metabolism, and Disease (4 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Virology (133 citations), Molecular Biology (591 citations), Genetics (239 citations), Endocrinology (32 citations) and Biotechnology (50 citations). U. Sen has collaborated with scholars based in India and United States. Frequent co-authors include Kottayil I. Varughese, J. Dasgupta, James Zapf, James A. Hoch, M. D. Madhusudan, Xiaojiang S. Chen, Courtney Prochnow, 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, Journal of Molecular Biology, Biochemistry and Proteins Structure Function and Bioinformatics.

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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