David W. Borhani

7.2k citations
48 papers · 5.5k indexed · 2 hit papers · h-index 30

Impact in

Papers in

David W. Borhani

48 papers receiving 5.5k citations

Hit Papers

Pathway and mechanism of drug binding to G-protein-coupled receptors 2011 · 594 citations
5942011202620162021100200300400500

Peers

David W. Borhani
Comparison fields: 5 of 128
  • Cellular and Molecular Neuroscience 1.2k
  • Molecular Biology 4.2k
  • Computational Theory and Mathematics 634
  • Spectroscopy 486
  • Cell Biology 467
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Yifei Qi United States
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Citations per field
00.5×1.5×2.0×
Yifei Qi · 1×
Citations per year

Countries citing papers authored by David W. Borhani

Since Specialization
Citations

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

Fields of papers citing papers by David W. Borhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Borhani. 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 David W. Borhani. The network helps show where David W. Borhani may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2015216
2 20141
3 20123
4 2012128
5
Pathway and mechanism of drug binding to G-protein-coupled receptors
Hit paper breakdown →
2011594
6 2010266
7 200917
8 20099
9 200836
10 200563
11 20042
12 200430
13 2004105
14 200261
15 2001200
16 200011
17 200064
18 199917
19 19934
20 199291

About David W. Borhani

David W. Borhani is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Spectroscopy and Infectious Diseases, having authored 48 papers that have together received 5.5k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (11 papers), Receptor Mechanisms and Signaling (11 papers), Mass Spectrometry Techniques and Applications (7 papers), Enzyme Structure and Function (7 papers), Protein Structure and Dynamics (6 papers), Neuropeptides and Animal Physiology (6 papers), HIV/AIDS drug development and treatment (6 papers) and Aldose Reductase and Taurine (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Molecular Biology (4.2k citations), Computational Theory and Mathematics (634 citations), Spectroscopy (486 citations) and Cell Biology (467 citations). David W. Borhani has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include David E. Shaw, Ron O. Dror, Albert C. Pan, Daniel H. Arlow, Morten Ø. Jensen, Paul Maragakis, Huafeng Xu, Jeffrey A. Engler, Christie G. Brouillette and Vishwanath Jogini. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biophysical Journal, Science and Journal of Molecular Biology.

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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