David W. Borhani

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

Impact in

Papers in

David W. Borhani

48 papers receiving 5.5k citations

David W. Borhani's Hit Papers

Activation mechanism of theβ2-adrenergic receptor 2011 · 484 citations
4840+5+10Years since publication100200300400500

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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Citations per field
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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-authors

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

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pathway and mechanism of drug binding to G-protein-coupled receptors
Hit paper breakdown →
2011594
2
Activation mechanism of theβ2-adrenergic receptor
Hit paper breakdown →
2011484
3 2012458
4 1997366
5 2013328
6 2013275
7 2010266
8 1999255
9 2009253
10 2015216
11 2011211
12 2001200
13 2012128
14 2010125
15 2000114
16 1993108
17 2004105
18 198899
19 199291
20 199285

About David W. Borhani

David W. Borhani is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Materials Chemistry, Cell Biology and Spectroscopy, having authored 48 papers that have together received 5.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Biochemical and Molecular Research (11 papers), Enzyme Structure and Function (7 papers), Mass Spectrometry Techniques and Applications (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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