Paul Labute

3.7k citations
42 papers · 2.9k · 1 hit paper · h-index 20

Impact in

Papers in

Paul Labute

41 papers receiving 2.8k citations

Paul Labute's Hit Papers

Variability in docking success rates due to dataset preparation 2012 · 338 citations
3380+4+9Years since publication100200300

Peers

Paul Labute
Comparison fields: 5 of 136
  • Computational Theory and Mathematics 910
  • Molecular Biology 1.7k
  • Organic Chemistry 470
  • Pharmacology 242
  • Spectroscopy 244
Replace Chaya S. Rapp with:
Chaya S. Rapp United States
Claudio N. Cavasotto United States
Peter Schmidtke Germany
Chresten R. Søndergaard Ireland
Daniel Seeliger Germany
Dmitry Lupyan United States
Manuel Pastor Spain
T. Dwight McGee United States
Gianni Chessari United Kingdom
Jacob D. Durrant 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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008466
2 2008406
3 2000345
4
Variability in docking success rates due to dataset preparation
Hit paper breakdown →
2012338
5 2010279
6 2001162
7 2014128
8 2007127
9 201197
10 201476
11 199873
12 200648
13 199844
14 200843
15 200535
16 202132
17 201031
18 201025
19 202325
20 201022

About Paul Labute

Paul Labute is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Physical and Theoretical Chemistry and Spectroscopy, having authored 42 papers that have together received 2.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (20 papers), Protein Structure and Dynamics (13 papers), Chemical Synthesis and Analysis (6 papers), Molecular spectroscopy and chirality (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Protein purification and stability (4 papers), Enzyme Structure and Function (4 papers) and Various Chemistry Research Topics (4 papers). The work is most often cited by research in Computational Theory and Mathematics (910 citations), Molecular Biology (1.7k citations), Organic Chemistry (470 citations), Pharmacology (242 citations) and Spectroscopy (244 citations). Paul Labute has collaborated with scholars based in Canada, United States and Russia. Frequent co-authors include Christopher R. Corbeil, Christopher I. Williams, Alex M. Clark, Chris Williams, Johannes Maier, B. Montgomery Pettitt, Jean‐François Truchon, Miklós Fehér, Jonathan M. Schmidt and Hua Gao. Their work appears in journals such as Journal of Chemical Information and Modeling, Proteins Structure Function and Bioinformatics, Journal of Medicinal Chemistry, Journal of Chemical Theory and Computation and Journal of Cheminformatics.

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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