Mark I. McCarthy
Impact in
- Genetics top 0.01%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genomics and Rare Diseases
- Genetic and phenotypic traits in livestock
- Endocrinology, Diabetes and Metabolism top 0.01%
Papers in
- Genetics 436
- Genetic Associations and Epidemiology 313
- Diabetes and associated disorders 65
- Genetic Mapping and Diversity in Plants and Animals 54
- Co-authors
- Jian Yang (4 shared papers)Peter M. Visscher (4 shared papers)Andrew Tym Hattersley (74 shared papers)Matthew A. Brown (3 shared papers)Joel N. Hirschhorn (7 shared papers)Stephen Franks (38 shared papers)Julia M Addington-Hall (15 shared papers)Timothy Mark Frayling (51 shared papers)
- Journals
- Nature Genetics (79 papers)Diabetes (76 papers)Diabetologia (64 papers)Nature (39 papers)Nature Communications (39 papers)
- Partner nations
- United KingdomUnited StatesFinland
In The Last Decade
Mark I. McCarthy
926 papers receiving 172.7k citations
Mark I. McCarthy's Hit Papers
Peers
Comparison fields: 5 of 231
- Genetics 70.8k
- Endocrinology, Diabetes and Metabolism 14.8k
- Molecular Biology 56.3k
- Cancer Research 10.8k
- Reproductive Medicine 5.3k
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 946 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls Hit paper breakdown → | 2007 | 7865 |
| 2 | Analysis of protein-coding genetic variation in 60,706 humans Hit paper breakdown → | 2016 | 7751 |
| 3 | The mutational constraint spectrum quantified from variation in 141,456 humans Hit paper breakdown → | 2020 | 6616 |
| 4 | Finding the missing heritability of complex diseases Hit paper breakdown → | 2009 | 6280 |
| 5 | The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans Hit paper breakdown → | 2015 | 3872 |
| 6 | Age-Related Clonal Hematopoiesis Associated with Adverse Outcomes Hit paper breakdown → | 2014 | 3709 |
| 7 | A Common Variant in the FTO Gene Is Associated with Body Mass Index and Predisposes to Childhood and Adult Obesity Hit paper breakdown → | 2007 | 3653 |
| 8 | Genetic studies of body mass index yield new insights for obesity biology Hit paper breakdown → | 2015 | 3477 |
| 9 | Biological, clinical and population relevance of 95 loci for blood lipids Hit paper breakdown → | 2010 | 2946 |
| 10 | FinnGen provides genetic insights from a well-phenotyped isolated population Hit paper breakdown → | 2023 | 2455 |
| 11 | Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index Hit paper breakdown → | 2010 | 2419 |
| 12 | 10 Years of GWAS Discovery: Biology, Function, and Translation Hit paper breakdown → | 2017 | 2401 |
| 13 | Discovery and refinement of loci associated with lipid levels Hit paper breakdown → | 2013 | 2380 |
| 14 | Genome-wide association studies for complex traits: consensus, uncertainty and challenges Hit paper breakdown → | 2008 | 2194 |
| 15 | Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes Hit paper breakdown → | 2007 | 1847 |
| 16 | Five Years of GWAS Discovery Hit paper breakdown → | 2012 | 1768 |
| 17 | Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes Hit paper breakdown → | 2012 | 1560 |
| 18 | Hundreds of variants clustered in genomic loci and biological pathways affect human height Hit paper breakdown → | 2010 | 1546 |
| 19 | Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes Hit paper breakdown → | 2008 | 1544 |
| 20 | Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis Hit paper breakdown → | 2010 | 1474 |
About Mark I. McCarthy
Mark I. McCarthy is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery and Reproductive Medicine, having authored 946 papers that have together received 177.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (313 papers), Pancreatic function and diabetes (135 papers), Epigenetics and DNA Methylation (73 papers), Diabetes and associated disorders (65 papers), Genetic Mapping and Diversity in Plants and Animals (54 papers), Bioinformatics and Genomic Networks (49 papers), Ovarian function and disorders (46 papers) and Birth, Development, and Health (41 papers). The work is most often cited by research in Genetics (70.8k citations), Endocrinology, Diabetes and Metabolism (14.8k citations), Molecular Biology (56.3k citations), Cancer Research (10.8k citations) and Reproductive Medicine (5.3k citations). Mark I. McCarthy has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Jian Yang, Peter M. Visscher, Andrew Tym Hattersley, Matthew A. Brown, Joel N. Hirschhorn, Stephen Franks, Julia M Addington-Hall, Timothy Mark Frayling, Irene Julie Higginson and Eleftheria Zeggini. Their work appears in journals such as Nature Genetics, Diabetes, Diabetologia, Nature and Nature Communications.
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.