Charles Bergeron

502 total citations
14 papers, 378 citations indexed

About

Charles Bergeron is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Charles Bergeron has authored 14 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 4 papers in Pharmacology. Recurrent topics in Charles Bergeron's work include Computational Drug Discovery Methods (6 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Charles Bergeron is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Charles Bergeron collaborates with scholars based in United States, Denmark and Canada. Charles Bergeron's co-authors include Kristin P. Bennett, Curt M. Breneman, Jed Zaretzki, Patrik Rydberg, Lars Olsen, Senthil Natesan, Štefan Baláž, S. Joshua Swamidass, Ronald F. Zernicke and Farida Chériet and has published in prestigious journals such as Bioinformatics, Annals of the New York Academy of Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Charles Bergeron

13 papers receiving 371 citations

Peers

Charles Bergeron

CTM

PHARM

SPECT

Rishi R. Gupta United States

Anil Kumar Pandey India

Zhaorong Li China

Nidhi Nidhi India

Nir Atias Israel

Ziheng Hu United States

Thanh‐Hoang Nguyen‐Vo Vietnam

Nan Xiao China

Ishrat Jabeen Pakistan

Rishi R. Gupta United States

Charles Bergeron

178 ×0.8

CTM

140 ×0.8

46 ×0.4

PHARM

46 ×0.9

SPECT

17 ×0.5

Citations per year, relative to Charles Bergeron Charles Bergeron (= 1×) peers Rishi R. Gupta

Countries citing papers authored by Charles Bergeron

Since Specialization

Citations

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

Fields of papers citing papers by Charles Bergeron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Bergeron

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Bergeron. A scholar is included among the top collaborators of Charles Bergeron 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 Charles Bergeron. Charles Bergeron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Boles, Nathan C., et al.. (2016). Big Data access and infrastructure for modern biology: case studies in data repository utility. Annals of the New York Academy of Sciences. 1387(1). 112–123. 2 indexed citations

Siedlik, Jacob A., et al.. (2016). Advanced Treatment Monitoring for Olympic-Level Athletes Using Unsupervised Modeling Techniques. Journal of Athletic Training. 51(1). 74–81. 1 indexed citations

Zaretzki, Jed, et al.. (2013). DR-Predictor: Incorporating Flexible Docking with Specialized Electronic Reactivity and Machine Learning Techniques to Predict CYP-Mediated Sites of Metabolism. Journal of Chemical Information and Modeling. 53(12). 3352–3366. 26 indexed citations

Zaretzki, Jed, Patrik Rydberg, Charles Bergeron, et al.. (2012). RS-Predictor Models Augmented with SMARTCyp Reactivities: Robust Metabolic Regioselectivity Predictions for Nine CYP Isozymes. Journal of Chemical Information and Modeling. 52(6). 1637–1659. 68 indexed citations

Zaretzki, Jed, et al.. (2012). RS-WebPredictor: a server for predicting CYP-mediated sites of metabolism on drug-like molecules. Bioinformatics. 29(4). 497–498. 49 indexed citations

Natesan, Senthil, et al.. (2012). Binding Affinity Prediction for Ligands and Receptors Forming Tautomers and Ionization Species: Inhibition of Mitogen-Activated Protein Kinase-Activated Protein Kinase 2 (MK2). Journal of Medicinal Chemistry. 55(5). 2035–2047. 32 indexed citations

Bergeron, Charles, et al.. (2011). Modeling Choices for Virtual Screening Hit Identification. Molecular Informatics. 30(9). 765–777.

Zaretzki, Jed, et al.. (2011). RS-Predictor: A New Tool for Predicting Sites of Cytochrome P450-Mediated Metabolism Applied to CYP 3A4. Journal of Chemical Information and Modeling. 51(7). 1667–1689. 76 indexed citations

Bergeron, Charles, et al.. (2011). Exploiting Domain Knowledge for Improved Quantitative High-Throughput Screening Curve Fitting. Journal of Chemical Information and Modeling. 51(11). 2808–2820. 5 indexed citations

10.

Bergeron, Charles, et al.. (2011). Model selection for primal SVM. Machine Learning. 85(1-2). 175–208. 31 indexed citations

11.

Bergeron, Charles, et al.. (2009). Nonsmooth Bilevel Programming for Hyperparameter Selection. 374–381. 10 indexed citations

12.

Bergeron, Charles, Jed Zaretzki, Curt M. Breneman, & Kristin P. Bennett. (2008). Multiple instance ranking. 48–55. 28 indexed citations

13.

Bennett, Kristin P., Charles Bergeron, Evrim Acar, et al.. (2007). Proteomics reveals multiple routes to the osteogenic phenotype in mesenchymal stem cells. BMC Genomics. 8(1). 380–380. 22 indexed citations

14.

Bergeron, Charles, Farida Chériet, Janet L. Ronsky, Ronald F. Zernicke, & Hubert Labelle. (2005). Prediction of anterior scoliotic spinal curve from trunk surface using support vector regression. Engineering Applications of Artificial Intelligence. 18(8). 973–983. 28 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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