Ron Do
Impact in
- Genetics top 0.2%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Rheumatology top 1%
Papers in ⓘ
- Genetics 43
- Genetic Associations and Epidemiology 38
- Genomics and Rare Diseases 17
- Genomic variations and chromosomal abnormalities 7
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- Lipid metabolism and disorders 8
- Co-authors
- Benjamin M. Neale (4 shared papers)Marie Verbanck (10 shared papers)Chia‐Yen Chen (1 shared paper)Shamil Sunyaev (5 shared papers)Sekar Kathiresan (4 shared papers)Daniel M. Jordan (24 shared papers)Eric S. Lander (2 shared papers)James C. Engert (9 shared papers)
- Journals
- Nature Genetics (7 papers)Nature Communications (4 papers)Journal of the American College of Cardiology (4 papers)Human Molecular Genetics (3 papers)PLoS Genetics (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Ron Do
85 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Genetics 3.8k
- Rheumatology 725
- Cancer Research 627
- Nephrology 294
- Molecular Biology 2.5k
Countries citing papers authored by Ron Do
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
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-authors
The 25 scholars most cited alongside Ron Do, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases Hit paper breakdown → | 2018 | 4935 |
| 2 | 2014 | 375 | |
| 3 | 2012 | 273 | |
| 4 | 2012 | 242 | |
| 5 | 2012 | 227 | |
| 6 | 2016 | 202 | |
| 7 | 2008 | 184 | |
| 8 | 2015 | 133 | |
| 9 | 2022 | 94 | |
| 10 | 2019 | 93 | |
| 11 | 2012 | 89 | |
| 12 | 2008 | 89 | |
| 13 | 2011 | 66 | |
| 14 | 2015 | 63 | |
| 15 | 2012 | 61 | |
| 16 | 2015 | 58 | |
| 17 | 2015 | 53 | |
| 18 | 2019 | 51 | |
| 19 | 2020 | 46 | |
| 20 | 2022 | 44 |
About Ron Do
Ron Do is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Ophthalmology, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 90 papers that have together received 8.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (38 papers), Genomics and Rare Diseases (17 papers), Liver Disease Diagnosis and Treatment (10 papers), Lipid metabolism and disorders (8 papers), Bioinformatics and Genomic Networks (8 papers), Genomic variations and chromosomal abnormalities (7 papers), Lipoproteins and Cardiovascular Health (7 papers) and Glaucoma and retinal disorders (6 papers). The work is most often cited by research in Genetics (3.8k citations), Rheumatology (725 citations), Cancer Research (627 citations), Nephrology (294 citations) and Molecular Biology (2.5k citations). Ron Do has collaborated with scholars based in United States, Canada and United Kingdom. Frequent 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. Their work appears in journals such as Nature Genetics, Nature Communications, Journal of the American College of Cardiology, Human Molecular Genetics and PLoS Genetics.
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.