Ron Do

51.3k total citations · 2 hit papers
90 papers, 8.1k citations indexed

About

Ron Do is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ron Do has authored 90 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Genetics, 28 papers in Molecular Biology and 19 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ron Do's work include Genetic Associations and Epidemiology (38 papers), Genomics and Rare Diseases (17 papers) and Liver Disease Diagnosis and Treatment (10 papers). Ron Do is often cited by papers focused on Genetic Associations and Epidemiology (38 papers), Genomics and Rare Diseases (17 papers) and Liver Disease Diagnosis and Treatment (10 papers). Ron Do collaborates with scholars based in United States, Canada and United Kingdom. Ron Do's co-authors include Benjamin M. Neale, Marie Verbanck, Chia‐Yen Chen, Shamil Sunyaev, Sekar Kathiresan, Daniel M. Jordan, Eric S. Lander, James C. Engert, Girish N. Nadkarni and Hong‐Hee Won and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ron Do

85 papers receiving 8.1k citations

Hit Papers

align trajectories

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.

Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases

2018 4.9k citations Marie Verbanck, Ron Do et al. Nature Genetics profile →
Association of genetic risk, lifestyle, and their interaction with obesity and obesity-related morbidities

2024 38 citations Min Seo Kim, Injeong Shim et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ron Do United States	27	3.8k	2.5k	1.1k	932	918	90	8.1k
Jie Zheng China	29	3.6k 1.0×	2.5k 1.0×	1.1k 1.0×	720 0.8×	898 1.0×	111	8.0k
James Yarmolinsky United Kingdom	17	3.2k 0.8×	1.8k 0.7×	1.1k 1.0×	824 0.9×	954 1.0×	30	7.1k
Chia‐Yen Chen United States	34	3.6k 0.9×	2.5k 1.0×	1.3k 1.2×	758 0.8×	1.1k 1.2×	95	9.3k
Cosetta Minelli United Kingdom	41	3.1k 0.8×	1.8k 0.7×	1.4k 1.3×	857 0.9×	1.2k 1.4×	130	9.3k
Fabiola Del Greco M Italy	25	3.2k 0.8×	1.6k 0.7×	1.0k 1.0×	695 0.7×	873 1.0×	38	6.7k
Kaitlin H. Wade United Kingdom	23	3.2k 0.8×	1.7k 0.7×	970 0.9×	622 0.7×	954 1.0×	55	6.8k
Cristen J. Willer United States	31	4.3k 1.1×	2.9k 1.2×	916 0.9×	727 0.8×	687 0.7×	82	9.0k
Hashem A. Shihab United Kingdom	15	3.5k 0.9×	3.0k 1.2×	793 0.8×	548 0.6×	720 0.8×	23	7.2k
Rebecca C. Richmond United Kingdom	33	2.4k 0.6×	2.1k 0.9×	909 0.9×	623 0.7×	1.1k 1.2×	99	7.1k
Marie Verbanck France	12	2.5k 0.7×	1.5k 0.6×	908 0.9×	616 0.7×	876 1.0×	20	5.6k

Countries citing papers authored by Ron Do

Since Specialization

Citations

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

Fields of papers citing papers by Ron Do

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ron Do

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Forrest, Iain S., Kuan‐lin Huang, Julie M. Eggington, et al.. (2025). Using large-scale population-based data to improve disease risk assessment of clinical variants. Nature Genetics. 57(7). 1588–1597. 1 indexed citations

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

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.

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

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

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

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

Kim, Min Seo, Pradeep Natarajan, Ron Do, et al.. (2024). Integration of observational and causal evidence for the association between adiposity and 17 gastrointestinal outcomes: An umbrella review and meta‐analysis. Obesity Reviews. 25(12). e13823–e13823. 2 indexed citations

Kim, Min Seo, Beomsu Kim, Injeong Shim, et al.. (2023). Prioritization of therapeutic targets for dyslipidemia using integrative multi-omics and multi-trait analysis. Cell Reports Medicine. 4(9). 101112–101112. 11 indexed citations

10.

Kim, Min Seo, Soyeon Kim, Beomsu Kim, et al.. (2023). Causal effect of adiposity on the risk of 19 gastrointestinal diseases: a Mendelian randomization study. Obesity. 31(5). 1436–1444. 22 indexed citations

11.

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

12.

Duong, Son Q., Akhil Vaid, Ha My T. Vy, et al.. (2023). Quantitative Prediction of Right Ventricular Size and Function From the ECG. Journal of the American Heart Association. 13(1). e031671–e031671. 8 indexed citations

13.

Kim, Jihye, Marianne T. Neary, Hugues Aschard, et al.. (2022). Statin Use in Relation to Intraocular Pressure, Glaucoma, and Ocular Coherence Tomography Parameters in the UK Biobank. Investigative Ophthalmology & Visual Science. 63(5). 31–31. 6 indexed citations

14.

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

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.

Fahed, Akl C., Krishna G. Aragam, George Hindy, et al.. (2020). Transethnic Transferability of a Genome-Wide Polygenic Score for Coronary Artery Disease. Circulation Genomic and Precision Medicine. 14(1). e003092–e003092. 24 indexed citations

17.

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

18.

Kim, Jihye, Hugues Aschard, Jae H. Kang, et al.. (2020). Intraocular Pressure, Glaucoma, and Dietary Caffeine Consumption. Ophthalmology. 128(6). 866–876. 46 indexed citations

19.

Jordan, Daniel M., Hyon K. Choi, Marie Verbanck, et al.. (2019). No causal effects of serum urate levels on the risk of chronic kidney disease: A Mendelian randomization study. PLoS Medicine. 16(1). e1002725–e1002725. 93 indexed citations

20.

Do, Ron, Sekar Kathiresan, & Gonçalo R. Abecasis. (2012). Exome sequencing and complex disease: practical aspects of rare variant association studies. Human Molecular Genetics. 21(R1). R1–R9. 89 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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