Michael E. Pique

35 papers receiving 4.6k citations

Michael E. Pique's Hit Papers

Computational protein–ligand docking and virtual drug screening with the AutoDock suite 2016 · 2.1k citations
2.1k0+3+6Years since publication5001k1.5k2k

Peers

Michael E. Pique
Comparison fields: 5 of 144
  • Computational Theory and Mathematics 1k
  • Structural Biology 111
  • Endocrinology 199
  • Molecular Biology 2.1k
  • Microbiology 115
Replace Mikael E. Trellet with:
Mikael E. Trellet Netherlands
Christine Zardecki United States
Alexander Rose United States
Catherine Tong United Kingdom
Radka Svobodová Vařeková Czechia
Jaroslav Koča Czechia
Shuchismita Dutta United States
Elmar Krieger Netherlands
Jasmine Y. Young United States
Dina Schneidman‐Duhovny United States
Michael E. Pique relative to Mikael E. Trellet Netherlands Mikael E. Trellet's profile →
Citations per field
00.5×2×4×6×8×9.5×
Mikael E. Trellet · 1×
Citations per year

Countries citing papers authored by Michael E. Pique

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Pique

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Pique. 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 Michael E. Pique. The network helps show where Michael E. Pique may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Computational protein–ligand docking and virtual drug screening with the AutoDock suite
Hit paper breakdown →
20162060
2 2004634
3 2006339
4 2003253
5 2001252
6 2011145
7 1999135
8 1992109
9 200776
10 199574
11 200868
12 201356
13 198854
14 198953
15 199552
16 200748
17 201645
18 199644
19 197841
20 200340

About Michael E. Pique

Michael E. Pique is a scholar working on Human-Computer Interaction, Molecular Biology, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Structural Biology, having authored 36 papers that have together received 4.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (13 papers), Computational Drug Discovery Methods (6 papers), Interactive and Immersive Displays (5 papers), Computer Graphics and Visualization Techniques (4 papers), Biochemical and Structural Characterization (4 papers), Mass Spectrometry Techniques and Applications (3 papers), DNA Repair Mechanisms (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1k citations), Structural Biology (111 citations), Endocrinology (199 citations), Molecular Biology (2.1k citations) and Microbiology (115 citations). Michael E. Pique has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Arthur J. Olson, David S. Goodsell, Ruth Huey, Stefano Forli, Michel F. Sanner, John A. Tainer, Lisa Craig, Victoria A. Roberts, Mark Yeager and Andrew S. Arvai. Their work appears in journals such as Structure, Proteins Structure Function and Bioinformatics, Molecular Cell, Journal of Biological Chemistry and Protein Engineering Design and Selection.

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.

Explore authors with similar magnitude of impact