Stephen Rich
Impact in
- Genetics top 0.01%
- Genetic Associations and Epidemiology
- Diabetes and associated disorders
- Genomics and Rare Diseases
- Nephrology top 0.1%
- Chronic Kidney Disease and Diabetes
Papers in
- Genetics 612
- Genetic Associations and Epidemiology 446
- Diabetes and associated disorders 154
- Nephrology 62
- Chronic Kidney Disease and Diabetes 57
- Co-authors
- Wei‐Min Chen (36 shared papers)Josyf C. Mychaleckyj (38 shared papers)Michèle M. Sale (38 shared papers)Ani W Manichaikul (34 shared papers)PATRICK J. CONCANNON (29 shared papers)Donald W. Bowden (77 shared papers)Barry Freedman (64 shared papers)Carl D. Langefeld (62 shared papers)
- Journals
- Diabetes (77 papers)The American Journal of Human Genetics (45 papers)Nature Genetics (44 papers)Nature Communications (43 papers)Diabetes Care (39 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Stephen Rich
964 papers receiving 68.8k citations
Stephen Rich's Hit Papers
Peers
Comparison fields: 5 of 198
- Genetics 29.7k
- Nephrology 4k
- Endocrinology, Diabetes and Metabolism 3.2k
- Hematology 2.4k
- Physiology 4.5k
Countries citing papers authored by Stephen Rich
This map shows the geographic impact of Stephen Rich'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 Stephen Rich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Rich more than expected).
Fields of papers citing papers by Stephen Rich
This network shows the impact of papers produced by Stephen Rich. 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 Stephen Rich. The network helps show where Stephen Rich may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Rich, 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 989 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Discovery and refinement of loci associated with lipid levels Hit paper breakdown → | 2013 | 2415 |
| 2 | Robust relationship inference in genome-wide association studies Hit paper breakdown → | 2010 | 2381 |
| 3 | New insights into the genetic etiology of Alzheimer’s disease and related dementias Hit paper breakdown → | 2022 | 1531 |
| 4 | Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes Hit paper breakdown → | 2009 | 1486 |
| 5 | Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program Hit paper breakdown → | 2021 | 1363 |
| 6 | Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes Hit paper breakdown → | 2018 | 1221 |
| 7 | Functional aspects of meningeal lymphatics in ageing and Alzheimer’s disease Hit paper breakdown → | 2018 | 1118 |
| 8 | A genomic mutational constraint map using variation in 76,156 human genomes Hit paper breakdown → | 2023 | 966 |
| 9 | Gut Microbiomes of Malawian Twin Pairs Discordant for Kwashiorkor Hit paper breakdown → | 2013 | 952 |
| 10 | Familial Clustering of Diabetic Kidney Disease Hit paper breakdown → | 1989 | 838 |
| 11 | Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses Hit paper breakdown → | 2016 | 768 |
| 12 | Common variants associated with plasma triglycerides and risk for coronary artery disease Hit paper breakdown → | 2013 | 732 |
| 13 | Dense genotyping identifies and localizes multiple common and rare variant association signals in celiac disease Hit paper breakdown → | 2011 | 656 |
| 14 | Early-Onset Stroke and Vasculopathy Associated with Mutations in ADA2 Hit paper breakdown → | 2014 | 651 |
| 15 | A structural variation reference for medical and population genetics Hit paper breakdown → | 2020 | 650 |
| 16 | Mendelian randomization of blood lipids for coronary heart disease Hit paper breakdown → | 2014 | 605 |
| 17 | Inherited causes of clonal haematopoiesis in 97,691 whole genomes Hit paper breakdown → | 2020 | 555 |
| 18 | Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers Hit paper breakdown → | 2015 | 545 |
| 19 | Imputing Amino Acid Polymorphisms in Human Leukocyte Antigens Hit paper breakdown → | 2013 | 534 |
| 20 | High-density genetic mapping identifies new susceptibility loci for rheumatoid arthritis Hit paper breakdown → | 2012 | 529 |
About Stephen Rich
Stephen Rich is a scholar working on Genetics, Nephrology, Endocrinology, Diabetes and Metabolism, Hematology and Cardiology and Cardiovascular Medicine, having authored 989 papers that have together received 71.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (446 papers), Diabetes and associated disorders (154 papers), Chronic Kidney Disease and Diabetes (57 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (35 papers), Lipoproteins and Cardiovascular Health (27 papers), Epigenetics and DNA Methylation (24 papers), Diabetes Management and Research (23 papers) and Fatty Acid Research and Health (22 papers). The work is most often cited by research in Genetics (29.7k citations), Nephrology (4k citations), Endocrinology, Diabetes and Metabolism (3.2k citations), Hematology (2.4k citations) and Physiology (4.5k citations). Stephen Rich has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Wei‐Min Chen, Josyf C. Mychaleckyj, Michèle M. Sale, Ani W Manichaikul, PATRICK J. CONCANNON, Donald W. Bowden, Barry Freedman, Carl D. Langefeld, Jose J. Barbosa and John A. Todd. Their work appears in journals such as Diabetes, The American Journal of Human Genetics, Nature Genetics, Nature Communications and Diabetes Care.
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.