Ghislain Rocheleau

10.4k total citations
35 papers, 720 citations indexed

About

Ghislain Rocheleau is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ghislain Rocheleau has authored 35 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 9 papers in Molecular Biology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ghislain Rocheleau's work include Genetic Associations and Epidemiology (18 papers), Genomics and Rare Diseases (10 papers) and Bioinformatics and Genomic Networks (6 papers). Ghislain Rocheleau is often cited by papers focused on Genetic Associations and Epidemiology (18 papers), Genomics and Rare Diseases (10 papers) and Bioinformatics and Genomic Networks (6 papers). Ghislain Rocheleau collaborates with scholars based in United States, France and United Kingdom. Ghislain Rocheleau's co-authors include Ron Do, Iain S. Forrest, Loïc Yengo, Christian Dina, Philippe Froguel, Christine Sinoquet, Girish N. Nadkarni, Natalie Telis, Jonathan K. Pritchard and Mark I. McCarthy and has published in prestigious journals such as Science, The Lancet and JAMA.

In The Last Decade

Ghislain Rocheleau

33 papers receiving 711 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ghislain Rocheleau United States 12 379 215 85 48 44 35 720
Jennifer E. Huffman United States 18 276 0.7× 318 1.5× 73 0.9× 60 1.3× 70 1.6× 37 757
Murray H. Brilliant United States 17 302 0.8× 398 1.9× 37 0.4× 68 1.4× 89 2.0× 38 987
Michael Feolo United States 12 243 0.6× 328 1.5× 43 0.5× 35 0.7× 33 0.8× 22 729
Matthew T. Oetjens United States 14 466 1.2× 285 1.3× 63 0.7× 45 0.9× 7 0.2× 30 869
Shoa L. Clarke United States 8 129 0.3× 164 0.8× 66 0.8× 31 0.6× 26 0.6× 18 383
Rounak Dey United States 8 486 1.3× 279 1.3× 52 0.6× 97 2.0× 19 0.4× 17 822
Priit Palta Estonia 16 438 1.2× 381 1.8× 81 1.0× 71 1.5× 16 0.4× 43 951
Ananyo Choudhury South Africa 14 369 1.0× 218 1.0× 30 0.4× 27 0.6× 15 0.3× 39 726
Vanessa dos Reis Ferreira Portugal 15 185 0.5× 433 2.0× 20 0.2× 46 1.0× 23 0.5× 28 660
Sanghoon Moon South Korea 12 253 0.7× 242 1.1× 46 0.5× 68 1.4× 12 0.3× 33 519

Countries citing papers authored by Ghislain Rocheleau

Since Specialization
Citations

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

Fields of papers citing papers by Ghislain Rocheleau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghislain Rocheleau

This figure shows the co-authorship network connecting the top 25 collaborators of Ghislain Rocheleau. A scholar is included among the top collaborators of Ghislain Rocheleau 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 Ghislain Rocheleau. Ghislain Rocheleau 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.
Forrest, Iain S., Ha My T. Vy, Ghislain Rocheleau, et al.. (2025). Machine learning–based penetrance of genetic variants. Science. 389(6763). eadm7066–eadm7066. 2 indexed citations
2.
Duffy, Áine, David Stein, Joshua K. Park, et al.. (2025). Development of a genetic priority score to predict drug side effects using human genetic evidence. Nature Communications. 16(1). 8713–8713.
3.
Petrazzini, Ben Omega, Áine Duffy, Ghislain Rocheleau, et al.. (2025). Trans-ancestral rare variant association study with machine learning-based phenotyping for metabolic dysfunction-associated steatotic liver disease. Genome biology. 26(1). 50–50. 3 indexed citations
4.
Vy, Ha My T., Ghislain Rocheleau, Yuyang Luo, et al.. (2024). Use of Diagnostic Codes for Primary Open-Angle Glaucoma Polygenic Risk Score Construction in Electronic Health Record–Linked Biobanks. American Journal of Ophthalmology. 267. 204–212. 3 indexed citations
5.
Duffy, Áine, Ben Omega Petrazzini, David Stein, et al.. (2024). Development of a human genetics-guided priority score for 19,365 genes and 399 drug indications. Nature Genetics. 56(1). 51–59. 11 indexed citations
6.
Petrazzini, Ben Omega, Iain S. Forrest, Ghislain Rocheleau, et al.. (2024). Exome sequence analysis identifies rare coding variants associated with a machine learning-based marker for coronary artery disease. Nature Genetics. 56(7). 1412–1419. 9 indexed citations
7.
Petrazzini, Ben Omega, Daniel J. Balick, Iain S. Forrest, et al.. (2024). Ensemble and consensus approaches to prediction of recessive inheritance for missense variants in human disease. Cell Reports Methods. 4(12). 100914–100914. 2 indexed citations
8.
Park, Joshua K., Ben Omega Petrazzini, Áine Duffy, et al.. (2024). Muesli Intake May Protect Against Coronary Artery Disease. JACC Advances. 3(4). 100888–100888. 1 indexed citations
9.
Park, Joshua K., Iain S. Forrest, Áine Duffy, et al.. (2023). Phenome-wide Mendelian randomization study of plasma triglyceride levels and 2600 disease traits. eLife. 12. 4 indexed citations
10.
Forrest, Iain S., Ben Omega Petrazzini, Áine Duffy, et al.. (2023). A machine learning model identifies patients in need of autoimmune disease testing using electronic health records. Nature Communications. 14(1). 2385–2385. 18 indexed citations
11.
Stuart, Kelsey V., Pirro G. Hysi, Ron Do, et al.. (2023). Genetic Associations Between Smoking- and Glaucoma-Related Traits. Translational Vision Science & Technology. 12(2). 20–20. 5 indexed citations
12.
Rocheleau, Ghislain, Iain S. Forrest, Áine Duffy, et al.. (2022). A tissue-level phenome-wide network map of colocalized genes and phenotypes in the UK Biobank. Communications Biology. 5(1). 849–849. 1 indexed citations
13.
Forrest, Iain S., Ghislain Rocheleau, Edgar Argulian, et al.. (2022). Genetic and phenotypic profiling of supranormal ejection fraction reveals decreased survival and underdiagnosed heart failure. European Journal of Heart Failure. 24(11). 2118–2127. 28 indexed citations
14.
Petrazzini, Ben Omega, Kumardeep Chaudhary, Carla Márquez‐Luna, et al.. (2022). Coronary Risk Estimation Based on Clinical Data in Electronic Health Records. Journal of the American College of Cardiology. 79(12). 1155–1166. 22 indexed citations
15.
Forrest, Iain S., Kumardeep Chaudhary, Ha My T. Vy, et al.. (2021). Genetic pleiotropy of ERCC6 loss‐of‐function and deleterious missense variants links retinal dystrophy, arrhythmia, and immunodeficiency in diverse ancestries. Human Mutation. 42(8). 969–977. 2 indexed citations
16.
Duffy, Áine, Marie Verbanck, Amanda Dobbyn, et al.. (2020). Tissue-specific genetic features inform prediction of drug side effects in clinical trials. Science Advances. 6(37). 35 indexed citations
17.
Canouil, Mickaël, Beverley Balkau, Ronan Roussel, Philippe Froguel, & Ghislain Rocheleau. (2018). Jointly Modelling Single Nucleotide Polymorphisms With Longitudinal and Time-to-Event Trait: An Application to Type 2 Diabetes and Fasting Plasma Glucose. Frontiers in Genetics. 9. 210–210. 1 indexed citations
18.
Field, Yair, Evan A. Boyle, Natalie Telis, et al.. (2016). Detection of human adaptation during the past 2000 years. Science. 354(6313). 760–764. 233 indexed citations
19.
Vaxillaire, Martine, Loïc Yengo, Stéphane Lobbens, et al.. (2014). Type 2 diabetes-related genetic risk scores associated with variations in fasting plasma glucose and development of impaired glucose homeostasis in the prospective DESIR study. Diabetologia. 57(8). 1601–1610. 35 indexed citations
20.
Lessard, Sabin & Ghislain Rocheleau. (2004). Kin selection and coefficients of relatedness in family-structured populations with inbreeding. Theoretical Population Biology. 66(4). 287–306. 8 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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