Francis Gaudreault

403 total citations
18 papers, 275 citations indexed

About

Francis Gaudreault is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics. According to data from OpenAlex, Francis Gaudreault has authored 18 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computational Theory and Mathematics. Recurrent topics in Francis Gaudreault's work include Monoclonal and Polyclonal Antibodies Research (10 papers), Protein purification and stability (5 papers) and Protein Structure and Dynamics (4 papers). Francis Gaudreault is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), Protein purification and stability (5 papers) and Protein Structure and Dynamics (4 papers). Francis Gaudreault collaborates with scholars based in Canada and United States. Francis Gaudreault's co-authors include Rafaël Najmanovich, Matthieu Chartier, Traian Sulea, Christopher R. Corbeil, Enrico O. Purisima, Christophe Deprez, Hervé Hogues, Vincent Frappier, Danny Létourneau and Pierre Lavigne and has published in prestigious journals such as Bioinformatics, Scientific Reports and Journal of Lipid Research.

In The Last Decade

Francis Gaudreault

17 papers receiving 272 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francis Gaudreault Canada 10 214 62 51 38 27 18 275
Efrat Ben‐Zeev Israel 13 325 1.5× 46 0.7× 87 1.7× 51 1.3× 35 1.3× 24 439
V. Talibov Sweden 11 267 1.2× 31 0.5× 56 1.1× 57 1.5× 45 1.7× 18 349
Aleksander Kuriata Poland 9 309 1.4× 69 1.1× 55 1.1× 89 2.3× 34 1.3× 18 410
Kuan Pern Tan Singapore 7 307 1.4× 27 0.4× 65 1.3× 66 1.7× 21 0.8× 8 402
Dana Weekes United States 9 263 1.2× 32 0.5× 49 1.0× 41 1.1× 27 1.0× 10 358
Amitava Roy United States 12 204 1.0× 17 0.3× 43 0.8× 62 1.6× 24 0.9× 23 306
Mayuko Takeda‐Shitaka Japan 12 248 1.2× 55 0.9× 61 1.2× 75 2.0× 10 0.4× 32 349
Zuzana Jandová Austria 11 230 1.1× 25 0.4× 30 0.6× 31 0.8× 22 0.8× 26 366
Alastair Muir United Kingdom 8 234 1.1× 51 0.8× 23 0.5× 44 1.2× 15 0.6× 10 334
Joseph Rebehmed France 12 287 1.3× 28 0.5× 32 0.6× 80 2.1× 28 1.0× 23 402

Countries citing papers authored by Francis Gaudreault

Since Specialization
Citations

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

Fields of papers citing papers by Francis Gaudreault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis Gaudreault

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

All Works

18 of 18 papers shown
1.
Gaudreault, Francis, et al.. (2025). Global Protein Interaction Network for Trypanosoma cruzi. Journal of Proteome Research. 25(1). 185–196.
2.
Gaudreault, Francis, Traian Sulea, & Christopher R. Corbeil. (2025). AI-augmented physics-based docking for antibody-antigen complex prediction. Bioinformatics. 41(4). 4 indexed citations
3.
Gaudreault, Francis, et al.. (2024). Functional domains of Acinetobacter bacteriophage tail fibers. Frontiers in Microbiology. 15. 1230997–1230997. 9 indexed citations
4.
Gaudreault, Francis, Jason Baardsnes, Hervé Hogues, et al.. (2023). Exploring rigid-backbone protein docking in biologics discovery: a test using the DARPin scaffold. Frontiers in Molecular Biosciences. 10. 1253689–1253689. 2 indexed citations
5.
Gaudreault, Francis, Christopher R. Corbeil, & Traian Sulea. (2023). Enhanced antibody-antigen structure prediction from molecular docking using AlphaFold2. Scientific Reports. 13(1). 15107–15107. 19 indexed citations
6.
Purisima, Enrico O., et al.. (2023). Solvated interaction energy: from small-molecule to antibody drug design. Frontiers in Molecular Biosciences. 10. 1210576–1210576. 8 indexed citations
7.
Gaudreault, Francis, Christopher R. Corbeil, Enrico O. Purisima, & Traian Sulea. (2022). Coevolved Canonical Loops Conformations of Single-Domain Antibodies: A Tale of Three Pockets Playing Musical Chairs. Frontiers in Immunology. 13. 884132–884132. 6 indexed citations
8.
Corbeil, Christopher R., et al.. (2022). Antibody mutations favoring pH‐dependent binding in solid tumor microenvironments: Insights from large‐scale structure‐based calculations. Proteins Structure Function and Bioinformatics. 90(8). 1538–1546. 5 indexed citations
9.
Corbeil, Christopher R., Traian Sulea, Jason Baardsnes, et al.. (2021). Redesigning an antibody H3 loop by virtual screening of a small library of human germline-derived sequences. Scientific Reports. 11(1). 21362–21362. 3 indexed citations
10.
Akache, Bassel, Tyler M. Renner, Anh Tran, et al.. (2021). Immunogenic and efficacious SARS-CoV-2 vaccine based on resistin-trimerized spike antigen SmT1 and SLA archaeosome adjuvant. Scientific Reports. 11(1). 21849–21849. 27 indexed citations
11.
Schrag, Joseph D., Francis Gaudreault, Jason Baardsnes, et al.. (2019). Binding symmetry and surface flexibility mediate antibody self-association. mAbs. 11(7). 1300–1318. 12 indexed citations
12.
Morency, Louis–Philippe, Francis Gaudreault, & Rafaël Najmanovich. (2018). Applications of the NRGsuite and the Molecular Docking Software FlexAID in Computational Drug Discovery and Design. Methods in molecular biology. 1762. 367–388. 10 indexed citations
13.
Hogues, Hervé, Francis Gaudreault, Christopher R. Corbeil, et al.. (2018). ProPOSE: Direct Exhaustive Protein–Protein Docking with Side Chain Flexibility. Journal of Chemical Theory and Computation. 14(9). 4938–4947. 21 indexed citations
14.
Hogues, Hervé, Traian Sulea, Francis Gaudreault, Christopher R. Corbeil, & Enrico O. Purisima. (2017). Binding pose and affinity prediction in the 2016 D3R Grand Challenge 2 using the Wilma-SIE method. Journal of Computer-Aided Molecular Design. 32(1). 143–150. 4 indexed citations
15.
Lomis, Nikita, Francis Gaudreault, Meenakshi Malhotra, et al.. (2017). Novel Milrinone Nanoformulation for Use in Cardiovascular Diseases: Preparation and in Vitro Characterization. Molecular Pharmaceutics. 15(7). 2489–2502. 14 indexed citations
16.
Gaudreault, Francis, Matthieu Chartier, & Rafaël Najmanovich. (2012). Side-chain rotamer changes upon ligand binding: common, crucial, correlate with entropy and rearrange hydrogen bonding. Bioinformatics. 28(18). i423–i430. 63 indexed citations
17.
Chartier, Matthieu, Francis Gaudreault, & Rafaël Najmanovich. (2012). Large-scale analysis of conserved rare codon clusters suggests an involvement in co-translational molecular recognition events. Bioinformatics. 28(11). 1438–1445. 40 indexed citations
18.
Létourneau, Danny, Andrée Lefèbvre, Vincent Frappier, et al.. (2012). StAR-related lipid transfer domain protein 5 binds primary bile acids. Journal of Lipid Research. 53(12). 2677–2689. 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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