David Hamelin

502 total citations
17 papers, 280 citations indexed

About

David Hamelin is a scholar working on Molecular Biology, Cell Biology and Infectious Diseases. According to data from OpenAlex, David Hamelin has authored 17 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Infectious Diseases. Recurrent topics in David Hamelin's work include vaccines and immunoinformatics approaches (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Cellular transport and secretion (3 papers). David Hamelin is often cited by papers focused on vaccines and immunoinformatics approaches (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Cellular transport and secretion (3 papers). David Hamelin collaborates with scholars based in Canada, United States and Germany. David Hamelin's co-authors include John E. Burke, Reece M. Hoffmann, Manoj Kumar Rathinaswamy, Thomas A. Leonard, Linda Truebestein, Calvin K. Yip, Gillian L. Dornan, Martin J. Boulanger, Udit Dalwadi and Étienne Caron and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

David Hamelin

17 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Hamelin Canada 10 188 85 31 31 23 17 280
Reece M. Hoffmann Canada 12 214 1.1× 109 1.3× 21 0.7× 21 0.7× 25 1.1× 14 309
Kwiwan Jeong South Korea 11 208 1.1× 63 0.7× 28 0.9× 19 0.6× 48 2.1× 21 336
Alexandre Faille United Kingdom 8 216 1.1× 69 0.8× 17 0.5× 23 0.7× 27 1.2× 12 290
Jacob A. McPhail Canada 11 249 1.3× 126 1.5× 21 0.7× 46 1.5× 30 1.3× 16 400
Hardik Patel United States 7 297 1.6× 71 0.8× 12 0.4× 62 2.0× 21 0.9× 8 348
Timothy Travers United States 11 172 0.9× 44 0.5× 14 0.5× 24 0.8× 16 0.7× 14 295
Delphine De Sutter Belgium 11 201 1.1× 102 1.2× 25 0.8× 51 1.6× 42 1.8× 20 339
Lisa Gawriyski Finland 9 212 1.1× 68 0.8× 40 1.3× 47 1.5× 16 0.7× 11 326
Andrew P. AhYoung United States 7 255 1.4× 94 1.1× 9 0.3× 18 0.6× 32 1.4× 8 311
Philippe Roby United States 8 244 1.3× 37 0.4× 24 0.8× 25 0.8× 17 0.7× 14 339

Countries citing papers authored by David Hamelin

Since Specialization
Citations

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

Fields of papers citing papers by David Hamelin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Hamelin

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

All Works

17 of 17 papers shown
1.
Hamelin, David, et al.. (2025). Predicting pathogen evolution and immune evasion in the age of artificial intelligence. Computational and Structural Biotechnology Journal. 27. 1370–1382. 4 indexed citations
2.
Kubiniok, Peter, Ana Marcu, Leon Bichmann, et al.. (2022). Understanding the constitutive presentation of MHC class I immunopeptidomes in primary tissues. iScience. 25(2). 103768–103768. 25 indexed citations
3.
Huang, Jessie, Carmen Lía Murall, David Hamelin, et al.. (2022). Population Genomics Approaches for Genetic Characterization of SARS-CoV-2 Lineages. Frontiers in Medicine. 9. 826746–826746. 5 indexed citations
4.
Hamelin, David, Kevin A. Kovalchik, Isabelle Sirois, et al.. (2021). RHybridFinder: An R package to process immunopeptidomic data for putative hybrid peptide discovery. STAR Protocols. 2(4). 100875–100875. 3 indexed citations
5.
Hamelin, David, Jean‐Christophe Grenier, Kevin A. Kovalchik, et al.. (2021). The mutational landscape of SARS-CoV-2 variants diversifies T cell targets in an HLA-supertype-dependent manner. Cell Systems. 13(2). 143–157.e3. 22 indexed citations
6.
Hoffmann, Reece M., et al.. (2021). Probing Protein–Membrane Interactions and Dynamics Using Hydrogen–Deuterium Exchange Mass Spectrometry (HDX-MS). Methods in molecular biology. 2263. 465–485. 22 indexed citations
7.
Kovalchik, Kevin A., David Hamelin, & Étienne Caron. (2021). Generation of HLA Allele-Specific Spectral Libraries to Identify and Quantify Immunopeptidomes by SWATH/DIA-MS. Methods in molecular biology. 2420. 137–147. 2 indexed citations
8.
Hamelin, David, Reece M. Hoffmann, Zahra Erami, et al.. (2019). A single discrete Rab5-binding site in phosphoinositide 3-kinase β is required for tumor cell invasion. Journal of Biological Chemistry. 294(12). 4621–4633. 11 indexed citations
9.
Hoffmann, Reece M., Michael V. Airola, David Hamelin, et al.. (2019). The juxtamembrane linker in neutral sphingomyelinase-2 functions as an intramolecular allosteric switch that activates the enzyme. Journal of Biological Chemistry. 294(18). 7488–7502. 13 indexed citations
10.
Hamelin, David, et al.. (2019). L’anarchisme, cet autre socialisme. Actuel Marx. n° 66(2). 11–25. 1 indexed citations
11.
Rathinaswamy, Manoj Kumar, et al.. (2018). Conformational sampling of membranes by Akt controls its activation and inactivation. Proceedings of the National Academy of Sciences. 115(17). E3940–E3949. 73 indexed citations
12.
Dornan, Gillian L., Udit Dalwadi, David Hamelin, et al.. (2018). Probing the Architecture, Dynamics, and Inhibition of the PI4KIIIα/TTC7/FAM126 Complex. Journal of Molecular Biology. 430(18). 3129–3142. 27 indexed citations
13.
Jenkins, Meredith L., Jean Piero Margaria, Reece M. Hoffmann, et al.. (2018). Structural determinants of Rab11 activation by the guanine nucleotide exchange factor SH3BP5. Nature Communications. 9(1). 3772–3772. 34 indexed citations
14.
Hamelin, David, David M. Warshaw, Jürgen Bosch, et al.. (2018). Structural and mechanistic insights into the function of the unconventional class XIV myosin MyoA from Toxoplasma gondii. Proceedings of the National Academy of Sciences. 115(45). E10548–E10555. 14 indexed citations
15.
Castro‐Falcón, Gabriel, Özlem Demir, Manoj Kumar Rathinaswamy, et al.. (2018). Neolymphostin A Is a Covalent Phosphoinositide 3-Kinase (PI3K)/Mammalian Target of Rapamycin (mTOR) Dual Inhibitor That Employs an Unusual Electrophilic Vinylogous Ester. Journal of Medicinal Chemistry. 61(23). 10463–10472. 18 indexed citations
16.
Hamelin, David. (2018). La difficile acquisition de la « science de son malheur ». SHILAP Revista de lepidopterología. 138. 59–79. 2 indexed citations
17.
Hamelin, David. (2011). Les Bourses du travail : entre éducation politique et formation professionnelle. Le Mouvement social. n° 235(2). 23–37. 4 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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