Peter Donnelly
Impact in
- Genetics top 0.01%
- Genetic diversity and population structure
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Ecological Modeling top 0.2%
Papers in
- Genetics 90
- Genetic Associations and Epidemiology 32
- Evolution and Genetic Dynamics 25
- Genetic Mapping and Diversity in Plants and Animals 20
- Genetic diversity and population structure 16
- Genetic and phenotypic traits in livestock 14
- Forensic and Genetic Research 13
- Co-authors
- Matthew Stephens (8 shared papers)Jonathan K. Pritchard (3 shared papers)Nicholas Smith (2 shared papers)Jonathan Marchini (11 shared papers)Gil McVean (21 shared papers)Bryan Howie (2 shared papers)Simon Myers (19 shared papers)Colin Freeman (9 shared papers)
- Journals
- Advances in Applied Probability (14 papers)Journal of Applied Probability (10 papers)Genetics (10 papers)PLoS Genetics (9 papers)Nature Genetics (9 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Peter Donnelly
201 papers receiving 60.5k citations
Peter Donnelly's Hit Papers
Peers
Comparison fields: 5 of 223
- Genetics 33.2k
- Ecological Modeling 1.8k
- Nature and Landscape Conservation 4.5k
- Ecology, Evolution, Behavior and Systematics 6.2k
- Ecology 7.9k
Countries citing papers authored by Peter Donnelly
This map shows the geographic impact of Peter Donnelly'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 Donnelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Donnelly more than expected).
Fields of papers citing papers by Peter Donnelly
This network shows the impact of papers produced by Peter Donnelly. 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 Donnelly. The network helps show where Peter Donnelly may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Donnelly, 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 209 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inference of Population Structure Using Multilocus Genotype Data Hit paper breakdown → | 2000 | 27754 |
| 2 | A New Statistical Method for Haplotype Reconstruction from Population Data Hit paper breakdown → | 2001 | 6434 |
| 3 | The UK Biobank resource with deep phenotyping and genomic data Hit paper breakdown → | 2018 | 4650 |
| 4 | A Comparison of Bayesian Methods for Haplotype Reconstruction from Population Genotype Data Hit paper breakdown → | 2003 | 3068 |
| 5 | A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies Hit paper breakdown → | 2009 | 2358 |
| 6 | Association Mapping in Structured Populations Hit paper breakdown → | 2000 | 1533 |
| 7 | A new multipoint method for genome-wide association studies by imputation of genotypes Hit paper breakdown → | 2007 | 1507 |
| 8 | A Fine-Scale Map of Recombination Rates and Hotspots Across the Human Genome Hit paper breakdown → | 2005 | 794 |
| 9 | The Fine-Scale Structure of Recombination Rate Variation in the Human Genome Hit paper breakdown → | 2004 | 709 |
| 10 | Genome-wide strategies for detecting multiple loci that influence complex diseases Hit paper breakdown → | 2005 | 679 |
| 11 | The effects of human population structure on large genetic association studies Hit paper breakdown → | 2004 | 635 |
| 12 | Inferring Coalescence Times From DNA Sequence Data Hit paper breakdown → | 1997 | 578 |
| 13 | 2009 | 495 | |
| 14 | 2009 | 427 | |
| 15 | 2008 | 330 | |
| 16 | 2001 | 314 | |
| 17 | 2005 | 281 | |
| 18 | Mapping of a gene for long QT syndrome to chromosome 4q25-27. | 1995 | 276 |
| 19 | 1995 | 252 | |
| 20 | 2001 | 244 |
About Peter Donnelly
Peter Donnelly is a scholar working on Genetics, Molecular Biology, Mathematical Physics, Public Health, Environmental and Occupational Health and Statistics and Probability, having authored 209 papers that have together received 62.0k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (40 papers), Genetic Associations and Epidemiology (32 papers), Evolution and Genetic Dynamics (25 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers), Bayesian Methods and Mixture Models (19 papers), Genetic diversity and population structure (16 papers), Genetic and phenotypic traits in livestock (14 papers) and Forensic and Genetic Research (13 papers). The work is most often cited by research in Genetics (33.2k citations), Ecological Modeling (1.8k citations), Nature and Landscape Conservation (4.5k citations), Ecology, Evolution, Behavior and Systematics (6.2k citations) and Ecology (7.9k citations). Peter Donnelly has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Matthew Stephens, Jonathan K. Pritchard, Nicholas Smith, Jonathan Marchini, Gil McVean, Bryan Howie, Simon Myers, Colin Freeman, Simon Tavaré and Lon R. Cardon. Their work appears in journals such as Advances in Applied Probability, Journal of Applied Probability, Genetics, PLoS Genetics and Nature 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.