Peter M. Visscher
Impact in
Papers in
- Genetics 383
- Genetic Associations and Epidemiology 214
- Genetic Mapping and Diversity in Plants and Animals 212
- Genetic and phenotypic traits in livestock 200
- Genomics and Rare Diseases 23
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- Cognitive Abilities and Testing 25
- Co-authors
- Michael E. GoddardJian YangNaomi R. WraySang LeeGrant W. MontgomeryMark I. McCarthyWilliam G. HillNicholas G. Martin
- Journals
- Genetics (28 papers)The American Journal of Human Genetics (25 papers)Nature Communications (23 papers)Nature Genetics (20 papers)Twin Research and Human Genetics (16 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Peter M. Visscher
447 papers receiving 46.4k citations
Hit Papers
Peers
Comparison fields: 5 of 212
- Genetics 30.7k
- Aging 374
- Experimental and Cognitive Psychology 2.6k
- Cancer Research 2.7k
- Molecular Biology 12.5k
Countries citing papers authored by Peter M. Visscher
This map shows the geographic impact of Peter M. Visscher'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 Peter M. Visscher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter M. Visscher more than expected).
Fields of papers citing papers by Peter M. Visscher
This network shows the impact of papers produced by Peter M. Visscher. 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 Peter M. Visscher. The network helps show where Peter M. Visscher may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter M. Visscher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 11 | |
| 4 | 15 years of GWAS discovery: Realizing the promise Hit paper breakdown → | 2023 | 215 |
| 5 | 2022 | 17 | |
| 6 | 2021 | 20 | |
| 7 | 2018 | 36 | |
| 8 | 2017 | 19 | |
| 9 | 2015 | 18 | |
| 10 | Are SNPs associated with educational attainment also associated with cognitive function? | 2013 | 1 |
| 11 | A simple and fast two-locus quality control test to detect false positives due to batch effects in genome-wide association studies | 2010 | 0 |
| 12 | 2008 | 91 | |
| 13 | 2006 | 12 | |
| 14 | 2006 | 126 | |
| 15 | 2005 | 37 | |
| 16 | 2005 | 33 | |
| 17 | 2004 | 11 | |
| 18 | 2004 | 86 | |
| 19 | Genetic analysis of longevity data in the UK: present practice and considerations for the future | 1999 | 10 |
| 20 | 1998 | 5 |
About Peter M. Visscher
Peter M. Visscher is a scholar working on Genetics, Experimental and Cognitive Psychology, Plant Science, Agronomy and Crop Science and Molecular Biology, having authored 453 papers that have together received 47.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (214 papers), Genetic Mapping and Diversity in Plants and Animals (212 papers), Genetic and phenotypic traits in livestock (200 papers), Genetics and Plant Breeding (56 papers), Bioinformatics and Genomic Networks (32 papers), Epigenetics and DNA Methylation (25 papers), Cognitive Abilities and Testing (25 papers) and Genomics and Rare Diseases (23 papers). The work is most often cited by research in Genetics (30.7k citations), Aging (374 citations), Experimental and Cognitive Psychology (2.6k citations), Cancer Research (2.7k citations) and Molecular Biology (12.5k citations). Peter M. Visscher has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Michael E. Goddard, Jian Yang, Naomi R. Wray, Sang Lee, Grant W. Montgomery, Mark I. McCarthy, William G. Hill, Nicholas G. Martin, Matthew A. Brown and Chris Haley. Their work appears in journals such as Genetics, The American Journal of Human Genetics, Nature Communications, Nature Genetics and Twin Research and Human 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.