William Lindstrom

14 papers receiving 20.0k citations

Hit Papers

AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility 2009 · 19.0k citations
19.0k20062026201220195.0k10.0k15.0k

Peers

William Lindstrom
Comparison fields: 5 of 166
  • Computational Theory and Mathematics 4.5k
  • Toxicology 720
  • Organic Chemistry 5.8k
  • Molecular Biology 10.6k
  • Pharmacology 1.2k
Replace Michel F. Sanner with:
Michel F. Sanner United States
Oleg Trott United States
Hualiang Jiang China
Robert B. Murphy United States
Antoine Daina Switzerland
Vincent Zoete Switzerland
Matthew P. Repasky United States
Franco Lombardo United States
Daniel T. Mainz United States
Olivier Michielin Switzerland
William Lindstrom relative to Michel F. Sanner United States Michel F. Sanner's profile →
Citations per field
00.5×1.5×
Michel F. Sanner · 1×
Citations per year

Countries citing papers authored by William Lindstrom

Since Specialization
Citations

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

Fields of papers citing papers by William Lindstrom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 20242
2 20241
3 20221
4
AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
Hit paper breakdown →
200919046
5 2007138
6 200773
7
Inhibitors of HIV‐1 Protease by Using In Situ Click Chemistry
Hit paper breakdown →
2006462
8 200674
9 2006180
10 20038
11 200311
12 200212
13 200063
14 199940
15 199888

About William Lindstrom

William Lindstrom is a scholar working on Virology, Instrumentation, Infectious Diseases, Geology and Ecology, having authored 15 papers that have together received 20.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), HIV/AIDS drug development and treatment (5 papers), HIV Research and Treatment (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Bacteriophages and microbial interactions (4 papers), Click Chemistry and Applications (3 papers), Protein Structure and Dynamics (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Computational Theory and Mathematics (4.5k citations), Toxicology (720 citations), Organic Chemistry (5.8k citations), Molecular Biology (10.6k citations) and Pharmacology (1.2k citations). William Lindstrom has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Arthur J. Olson, Richard K. Belew, Garrett M. Morris, Ruth Huey, Michel F. Sanner, David S. Goodsell, John H. Elder, Valery V. Fokin, Matthew Whiting and Ying‐Chuan Lin. Their work appears in journals such as Journal of Biological Chemistry, Journal of the American Chemical Society, Journal of Computational Chemistry, Journal of Molecular Biology and The Astrophysical Journal.

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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