V. Sasisekharan

12.0k citations
119 papers · 9.4k indexed · 2 hit papers · h-index 37

V. Sasisekharan

119 papers receiving 9.0k citations

Hit Papers

Conformation of Polypeptides and Proteins2.5k196320261984200550010001.5k2.0k2.5k

Peers

V. Sasisekharan
Comparison fields: 5 of 170
  • Molecular Biology 7.0k
  • Spectroscopy 1.1k
  • Physical and Theoretical Chemistry 435
  • Materials Chemistry 2.0k
  • Cell Biology 712
Replace F.M. Richards with:
F.M. Richards United States
W. Curtis Johnson United States
Charles E. Bugg United States
Robert W. Woody United States
J. Martin Scholtz United States
Jen Tsi Yang United States
Richard M. Venable United States
Cyril M. Kay Canada
Alexander McPherson United States
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V. Sasisekharan relative to F.M. Richards United States F.M. Richards's profile →
Citations per field
00.5×1.6×
F.M. Richards · 1×
Citations per year

Countries citing papers authored by V. Sasisekharan

Since Specialization
Citations

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

Fields of papers citing papers by V. Sasisekharan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20179
2
Glycan–protein interactions in viral pathogenesis
20161
3 201698
4
Glycan receptor specificity as a useful tool for characterization and surveillance of influenza A virus
20141
5 201455
6 201424
7 2013107
8 201320
9 20103
10 2008338
11 199710
12 19959
13 199426
14 199369
15 199266
16 19906
17 198836
18 19844
19 19831
20 197016

About V. Sasisekharan

V. Sasisekharan is a scholar working on Molecular Biology, Physical and Theoretical Chemistry and Biomaterials, having authored 119 papers that have together received 9.4k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (47 papers), RNA and protein synthesis mechanisms (29 papers), Advanced biosensing and bioanalysis techniques (21 papers), Protein Structure and Dynamics (13 papers), Influenza Virus Research Studies (12 papers), Chemical Synthesis and Analysis (12 papers), Glycosylation and Glycoproteins Research (11 papers) and Crystallography and molecular interactions (8 papers). The work is most often cited by research in Molecular Biology (7.0k citations), Spectroscopy (1.1k citations) and Physical and Theoretical Chemistry (435 citations). V. Sasisekharan has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include G. N. Ramachandran, C. Ramakrishnan, Ram Sasisekharan, Rahul Raman, A. V. Lakshminarayanan, Manju Bansal, P. K. Ponnuswamy, Samir K. Brahmachari, Ganesh Venkataraman and Karthik Viswanathan. Their work appears in journals such as Biopolymers, Proceedings of the National Academy of Sciences, Biochemistry, Biochemical and Biophysical Research Communications and FEBS Letters.

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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