Usha Warrior

1.6k citations
46 papers · 1.4k · h-index 22

Impact in

Papers in

    • Advanced Biosensing Techniques and Applications 14
    • Protein Kinase Regulation and GTPase Signaling 4
    • Cell death mechanisms and regulation 4
    • Ion channel regulation and function 3
    • Chemical Synthesis and Analysis 3
    • Receptor Mechanisms and Signaling 3
    • Computational Drug Discovery Methods 6

Usha Warrior

45 papers receiving 1.3k citations

Peers

Usha Warrior
Comparison fields: 5 of 92
  • Sensory Systems 101
  • Pharmacology 100
  • Molecular Biology 570
  • Biophysics 53
  • Computational Theory and Mathematics 100
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Usha Warrior relative to Robert H. Spencer United States Robert H. Spencer's profile →
Citations per field
00.5×2×4×6×7.1×
Robert H. Spencer · 1×
Citations per year

Countries citing papers authored by Usha Warrior

Since Specialization
Citations

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

Fields of papers citing papers by Usha Warrior

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008123
2 2000104
3 2011101
4 200896
5 200188
6 200185
7 201380
8 200263
9 200460
10 200852
11 200851
12 200738
13 200636
14 199935
15 200229
16 200429
17 200226
18 200226
19 200325
20 200424

About Usha Warrior

Usha Warrior is a scholar working on Molecular Biology, Computational Theory and Mathematics, Biophysics, Immunology and Hepatology, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (14 papers), Computational Drug Discovery Methods (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Cell death mechanisms and regulation (4 papers), T-cell and B-cell Immunology (3 papers), Ion channel regulation and function (3 papers), Chemical Synthesis and Analysis (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Sensory Systems (101 citations), Pharmacology (100 citations), Molecular Biology (570 citations), Biophysics (53 citations) and Computational Theory and Mathematics (100 citations). Usha Warrior has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Sujatha M. Gopalakrishnan, Vivek C. Abraham, Jeffrey F. Waring, James L. Kofron, Duncan R. Groebe, Jarkko T. Karvinen, Victoria Scott, Niru B. Soni, Eric Feral Johnson and Stevan W. Djurić. Their work appears in journals such as SLAS DISCOVERY, Analytical Biochemistry, Journal of Medicinal Chemistry, Assay and Drug Development Technologies and Journal of Biological Chemistry.

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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