Mark I. McCarthy
Impact in
- Genetics top 0.02%
- Genetic Associations and Epidemiology
- Diabetes and associated disorders
- Genetic Mapping and Diversity in Plants and Animals
- Reproductive Medicine top 0.1%
- Ovarian function and disorders
Papers in
- Genetics 175
- Genetic Associations and Epidemiology 109
- Diabetes and associated disorders 43
- Genetic Mapping and Diversity in Plants and Animals 22
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- Epigenetics and DNA Methylation 28
- Metabolism, Diabetes, and Cancer 25
- Bioinformatics and Genomic Networks 25
- Co-authors
- Andrew T. Hattersley (72 shared papers)Jian Yang (4 shared papers)Peter M. Visscher (4 shared papers)Matthew A. Brown (3 shared papers)Julia Addington‐Hall (15 shared papers)Stephen Franks (33 shared papers)Timothy M. Frayling (49 shared papers)Irene J Higginson (11 shared papers)
- Journals
- Diabetes (46 papers)Diabetologia (42 papers)The American Journal of Human Genetics (20 papers)The Journal of Clinical Endocrinology & Metabolism (15 papers)Diabetic Medicine (15 papers)
- Partner nations
- United KingdomUnited StatesFinland
In The Last Decade
Mark I. McCarthy
505 papers receiving 35.6k citations
Mark I. McCarthy's Hit Papers
Peers
Comparison fields: 5 of 214
- Genetics 11.6k
- Reproductive Medicine 2.7k
- Endocrinology, Diabetes and Metabolism 3.9k
- Public Health, Environmental and Occupational Health 4.3k
- Molecular Biology 11.0k
Countries citing papers authored by Mark I. McCarthy
This map shows the geographic impact of Mark I. McCarthy'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 Mark I. McCarthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark I. McCarthy more than expected).
Fields of papers citing papers by Mark I. McCarthy
This network shows the impact of papers produced by Mark I. McCarthy. 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 Mark I. McCarthy. The network helps show where Mark I. McCarthy may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark I. McCarthy, 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 516 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 10 Years of GWAS Discovery: Biology, Function, and Translation Hit paper breakdown → | 2017 | 2080 |
| 2 | Genome-wide association studies for complex traits: consensus, uncertainty and challenges Hit paper breakdown → | 2008 | 1918 |
| 3 | Five Years of GWAS Discovery Hit paper breakdown → | 2012 | 1519 |
| 4 | Causal relationships among the gut microbiome, short-chain fatty acids and metabolic diseases Hit paper breakdown → | 2019 | 1095 |
| 5 | Metabolic profiling reveals a contribution of gut microbiota to fatty liver phenotype in insulin-resistant mice Hit paper breakdown → | 2006 | 848 |
| 6 | Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits Hit paper breakdown → | 2012 | 756 |
| 7 | Genomics, Type 2 Diabetes, and Obesity Hit paper breakdown → | 2010 | 649 |
| 8 | Large-Scale Association Studies of Variants in Genes Encoding the Pancreatic β-Cell KATP Channel Subunits Kir6.2 (KCNJ11) and SUR1 (ABCC8) Confirm That the KCNJ11 E23K Variant Is Associated With Type 2 Diabetes Hit paper breakdown → | 2003 | 538 |
| 9 | Obesity and polycystic ovary syndrome Hit paper breakdown → | 2006 | 490 |
| 10 | 2007 | 437 | |
| 11 | A brief history of human disease genetics Hit paper breakdown → | 2020 | 366 |
| 12 | The Human Pancreatic Islet Transcriptome: Expression of Candidate Genes for Type 1 Diabetes and the Impact of Pro-Inflammatory Cytokines Hit paper breakdown → | 2012 | 364 |
| 13 | 2013 | 344 | |
| 14 | 2005 | 342 | |
| 15 | 1999 | 263 | |
| 16 | 1997 | 254 | |
| 17 | 2018 | 246 | |
| 18 | 2008 | 246 | |
| 19 | Genetics meets proteomics: perspectives for large population-based studies Hit paper breakdown → | 2020 | 243 |
| 20 | 1995 | 242 |
About Mark I. McCarthy
Mark I. McCarthy is a scholar working on Genetics, Molecular Biology, Surgery, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 516 papers that have together received 36.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (109 papers), Pancreatic function and diabetes (93 papers), Diabetes and associated disorders (43 papers), Ovarian function and disorders (37 papers), Epigenetics and DNA Methylation (28 papers), Metabolism, Diabetes, and Cancer (25 papers), Bioinformatics and Genomic Networks (25 papers) and Genetic Mapping and Diversity in Plants and Animals (22 papers). The work is most often cited by research in Genetics (11.6k citations), Reproductive Medicine (2.7k citations), Endocrinology, Diabetes and Metabolism (3.9k citations), Public Health, Environmental and Occupational Health (4.3k citations) and Molecular Biology (11.0k citations). Mark I. McCarthy has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Andrew T. Hattersley, Jian Yang, Peter M. Visscher, Matthew A. Brown, Julia Addington‐Hall, Stephen Franks, Timothy M. Frayling, Irene J Higginson, Joel N. Hirschhorn and Lon R. Cardon. Their work appears in journals such as Diabetes, Diabetologia, The American Journal of Human Genetics, The Journal of Clinical Endocrinology & Metabolism and Diabetic Medicine.
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.