Paul Labute

3.7k citations
44 papers · 3.0k · 1 hit paper · h-index 20

Impact in

Papers in

Paul Labute

43 papers receiving 2.9k citations

Paul Labute's Hit Papers

Variability in docking success rates due to dataset preparation 2012 · 354 citations
3540+4+9Years since publication100200300

Peers

Paul Labute
Comparison fields: 5 of 137
  • Computational Theory and Mathematics 965
  • Molecular Biology 1.7k
  • Organic Chemistry 485
  • Pharmacology 251
  • Spectroscopy 251
Replace Chaya S. Rapp with:
Chaya S. Rapp United States
Peter Schmidtke Germany
Claudio N. Cavasotto United States
Chresten R. Søndergaard Ireland
Daniel Seeliger Germany
Dmitry Lupyan United States
T. Dwight McGee United States
Bill R. Miller United States
Gianni Chessari United Kingdom
Ryan G. Coleman United States
Paul Labute relative to Chaya S. Rapp United States Chaya S. Rapp's profile →
Citations per field
00.5×1.5×1.9×
Chaya S. Rapp · 1×
Citations per year

Countries citing papers authored by Paul Labute

Since Specialization
Citations

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

Fields of papers citing papers by Paul Labute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008470
2 2008407
3 2000358
4
Variability in docking success rates due to dataset preparation
Hit paper breakdown →
2012354
5 2010283
6 2001167
7 2007131
8 2014128
9 2011101
10 199881
11 201478
12 200650
13 199846
14 200844
15 200535
16 202132
17 201031
18 201027
19 202326
20 201023

About Paul Labute

Paul Labute is a scholar working on Molecular Biology, Computational Theory and Mathematics, Physical and Theoretical Chemistry, Organic Chemistry and Spectroscopy, having authored 44 papers that have together received 3.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (22 papers), Protein Structure and Dynamics (14 papers), Chemical Synthesis and Analysis (7 papers), Enzyme Structure and Function (5 papers), Crystallography and molecular interactions (5 papers), Molecular spectroscopy and chirality (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Protein purification and stability (4 papers). The work is most often cited by research in Computational Theory and Mathematics (965 citations), Molecular Biology (1.7k citations), Organic Chemistry (485 citations), Pharmacology (251 citations) and Spectroscopy (251 citations). Paul Labute has collaborated with scholars based in Canada, United States and Russia. Frequent co-authors include Christopher I. Williams, Christopher R. Corbeil, Alex M. Clark, Chris Williams, Johannes Maier, Jean‐François Truchon, B. Montgomery Pettitt, Miklós Fehér, Jonathan M. Schmidt and Jürgen Bajorath. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Cheminformatics, Proteins Structure Function and Bioinformatics, Journal of Medicinal Chemistry and Journal of Computer-Aided Molecular Design.

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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