Paul Labute

3.7k total citations · 1 hit paper
42 papers, 2.9k citations indexed

About

Paul Labute is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Paul Labute has authored 42 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 20 papers in Computational Theory and Mathematics and 9 papers in Organic Chemistry. Recurrent topics in Paul Labute's work include Computational Drug Discovery Methods (20 papers), Protein Structure and Dynamics (13 papers) and Chemical Synthesis and Analysis (6 papers). Paul Labute is often cited by papers focused on Computational Drug Discovery Methods (20 papers), Protein Structure and Dynamics (13 papers) and Chemical Synthesis and Analysis (6 papers). Paul Labute collaborates with scholars based in Canada, United States and Russia. Paul Labute's co-authors include Christopher I. Williams, Christopher R. Corbeil, Alex M. Clark, Chris Williams, Johannes Maier, B. Montgomery Pettitt, Jonathan M. Schmidt, Miklós Fehér, Jürgen Bajorath and Hua Gao and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Medicinal Chemistry and Journal of Computational Chemistry.

In The Last Decade

Paul Labute

41 papers receiving 2.8k citations

Hit Papers

Variability in docking su... 2012 2026 2016 2021 2012 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Variability in docking success rates due to dataset preparation
    2012 331 citations Christopher R. Corbeil, Christopher I. Williams et al. Journal of Computer-Aided Molecular Design profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Paul Labute 1.7k 922 485 368 303 42 2.9k
Daniel Seeliger 2.5k 1.5× 798 0.9× 386 0.8× 475 1.3× 318 1.0× 43 3.8k
Gianni Chessari 2.0k 1.1× 1.2k 1.3× 656 1.4× 462 1.3× 195 0.6× 35 2.9k
Art E. Cho 1.4k 0.8× 528 0.6× 530 1.1× 306 0.8× 227 0.7× 67 2.6k
Chaya S. Rapp 2.0k 1.2× 623 0.7× 378 0.8× 471 1.3× 157 0.5× 14 2.8k
Anneli Karlsson 2.6k 1.5× 1.5k 1.7× 283 0.6× 395 1.1× 246 0.8× 14 3.8k
Peter Schmidtke 2.3k 1.3× 1.1k 1.2× 282 0.6× 398 1.1× 180 0.6× 26 3.2k
Shuguang Yuan 2.6k 1.5× 690 0.7× 329 0.7× 242 0.7× 231 0.8× 85 4.1k
Oleg Ursu 2.4k 1.4× 1.2k 1.3× 453 0.9× 173 0.5× 230 0.8× 51 3.8k
David W. Ritchie 2.5k 1.4× 907 1.0× 328 0.7× 726 2.0× 216 0.7× 70 3.6k
Felice C. Lightstone 2.2k 1.3× 661 0.7× 733 1.5× 500 1.4× 166 0.5× 105 3.9k

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-authorship network of co-authors of Paul Labute

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Labute. A scholar is included among the top collaborators of Paul Labute 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 Paul Labute. Paul Labute 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
1.
Barigye, Stephen J., et al.. (2020). Use of Extended-Hückel Descriptors for Rapid and Accurate Predictions of Conjugated Torsional Energy Barriers. Journal of Chemical Information and Modeling. 60(7). 3534–3545. 4 indexed citations
2.
Liu, Zhaomin, et al.. (2019). Torsional Energy Barriers of Biaryls Could Be Predicted by Electron Richness/Deficiency of Aromatic Rings; Advancement of Molecular Mechanics toward Atom-Type Independence. Journal of Chemical Information and Modeling. 59(11). 4764–4777. 10 indexed citations
3.
Labute, Paul. (2017). Methods of Exploring Protein–Ligand Interactions to Guide Medicinal Chemistry Efforts. Methods in molecular biology. 1705. 159–177. 3 indexed citations
4.
Liu, Zhaomin, et al.. (2016). Elucidating Hyperconjugation from Electronegativity to Predict Drug Conformational Energy in a High Throughput Manner. Journal of Chemical Information and Modeling. 56(4). 788–801. 8 indexed citations
5.
Tomberg, Anna, Joshua Pottel, Zhaomin Liu, Paul Labute, & Nicolas Moitessier. (2015). Understanding P450‐mediated Bio‐transformations into Epoxide and Phenolic Metabolites. Angewandte Chemie International Edition. 54(46). 13743–13747. 13 indexed citations
6.
Maier, Johannes & Paul Labute. (2014). Assessment of fully automated antibody homology modeling protocols in molecular operating environment. Proteins Structure Function and Bioinformatics. 82(8). 1599–1610. 76 indexed citations
7.
Corbeil, Christopher R., Christopher I. Williams, & Paul Labute. (2012). Variability in docking success rates due to dataset preparation. Journal of Computer-Aided Molecular Design. 26(6). 775–786. 331 indexed citations breakdown →
8.
Almagro, Juan C., Mary Pat Beavers, Francisco G. Hernandez-Guzman, et al.. (2011). Antibody modeling assessment. Proteins Structure Function and Bioinformatics. 79(11). 3050–3066. 97 indexed citations
9.
Long, William F. & Paul Labute. (2010). Calibrative approaches to protein solubility modeling of a mutant series using physicochemical descriptors. Journal of Computer-Aided Molecular Design. 24(11). 907–916. 22 indexed citations
10.
Labute, Paul. (2010). LowModeMD—Implicit Low-Mode Velocity Filtering Applied to Conformational Search of Macrocycles and Protein Loops. Journal of Chemical Information and Modeling. 50(5). 792–800. 275 indexed citations
11.
Labute, Paul. (2008). Protonate3D: Assignment of ionization states and hydrogen coordinates to macromolecular structures. Proteins Structure Function and Bioinformatics. 75(1). 187–205. 459 indexed citations
12.
13.
Clark, Alex M., et al.. (2006). 2D Structure Depiction.. ChemInform. 37(30). 1 indexed citations
14.
Labute, Paul. (2004). Derivation and Applications of Molecular Descriptors Based on Approximate Surface Area. Methods in molecular biology. 275. 261–278. 16 indexed citations
15.
Labute, Paul. (2002). A Probabilistic Approach to High Throughput Drug Discovery. Combinatorial Chemistry & High Throughput Screening. 5(2). 135–45. 13 indexed citations
16.
Labute, Paul, et al.. (2001). Flexible Alignment of Small Molecules. Journal of Medicinal Chemistry. 44(10). 1483–1490. 162 indexed citations
17.
Labute, Paul. (2000). A widely applicable set of descriptors. Journal of Molecular Graphics and Modelling. 18(4-5). 464–477. 340 indexed citations
18.
Labute, Paul. (1998). BINARY QSAR: A NEW METHOD FOR THE DETERMINATION OF QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIPS. PubMed. 444–455. 44 indexed citations
19.
Li, Zhongyu, Gilles Boulianne, Paul Labute, et al.. (1996). Bi-directional graph search strategies for speech recognition. Computer Speech & Language. 10(4). 295–321. 4 indexed citations
20.
Kenny, Patrick, et al.. (1993). A new fast match for very large vocabulary continuous speech recognition. IEEE International Conference on Acoustics Speech and Signal Processing. 656–659 vol.2. 7 indexed citations

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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