Brian K. Shoichet

54.0k citations
260 papers · 36.4k indexed · 20 hit papers · h-index 97
Topics
Computational Drug Discovery Methods (92 papers)Antibiotic Resistance in Bacteria (46 papers)Protein Structure and Dynamics (44 papers)
Partner nations
United StatesCanadaItaly

In The Last Decade

Brian K. Shoichet

255 papers receiving 35.5k citations

Hit Papers

ZINC − A Free Database of Commercially Available Compoun...19922026200320142004201220072009200410002.0k3.0k

Peers

Brian K. Shoichet
Comparison fields: 5 of 191
  • Molecular Biology 24.6k
  • Computational Theory and Mathematics 15.6k
  • Organic Chemistry 5.2k
  • Materials Chemistry 4.7k
  • Pharmacology 4.6k
Replace Richard A. Friesner with:
Richard A. Friesner United States
David S. Goodsell United States
Garrett M. Morris United Kingdom
Junmei Wang China
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Thomas E. Ferrin United States
Janet M. Thornton United Kingdom
Ruth Huey United States
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Brian K. Shoichet relative to Richard A. Friesner United States Richard A. Friesner's profile →
Citations per field
00.5×1.5×
Richard A. Friesner · 1×
Citations per year

Countries citing papers authored by Brian K. Shoichet

Since Specialization
Citations

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

Fields of papers citing papers by Brian K. Shoichet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian K. Shoichet. 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 Brian K. Shoichet. The network helps show where Brian K. Shoichet may publish in the future.

Co-authorship network of co-authors of Brian K. Shoichet

This figure shows the co-authorship network connecting the top 25 collaborators of Brian K. Shoichet. A scholar is included among the top collaborators of Brian K. Shoichet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian K. Shoichet. Brian K. Shoichet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 0
3 19
4 7
5 18
6 10
7 19
8 18
9 23
10 135
11 63
12 41
13 54
14 30
15 21
16 60
17 134
18 104
19 190
20 59

About Brian K. Shoichet

Brian K. Shoichet is a scholar working on Molecular Medicine, Computational Theory and Mathematics and Molecular Biology, having authored 260 papers that have together received 36.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (92 papers), Antibiotic Resistance in Bacteria (46 papers) and Protein Structure and Dynamics (44 papers). The work is most often cited by research in Computational Theory and Mathematics (15.6k citations), Molecular Medicine (2.6k citations) and Molecular Biology (24.6k citations). Brian K. Shoichet has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include John J. Irwin, Irwin D. Kuntz, Susan L. McGovern, Bryan L. Roth, Michael M. Mysinger, Michael J. Keiser, Brian Y. Feng, Niu Huang, Elaine C. Meng and Emilia Caselli. Their work appears in journals such as Nature, Science and Cell.

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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