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
-
- Stochastic processes and statistical mechanics 40
- Genetics 91
- Genetic Associations and Epidemiology 33
- 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 15
- Forensic and Genetic Research 13
- Co-authors
- Matthew StephensJonathan K. PritchardNicholas SmithJonathan MarchiniBryan HowieGil McVeanSimon MyersColin Freeman
- Journals
- Advances in Applied Probability (14 papers)Genetics (10 papers)Journal of Applied Probability (10 papers)Nature Genetics (9 papers)PLoS Genetics (9 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Peter Donnelly
201 papers receiving 59.7k citations
Hit Papers
Peers
Comparison fields: 5 of 224
- Genetics 35.2k
- Ecological Modeling 1.9k
- Nature and Landscape Conservation 4.6k
- Ecology, Evolution, Behavior and Systematics 6.5k
- Ecology 8.2k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2021 | 10 | |
| 3 | 2020 | 88 | |
| 4 | 2019 | 72 | |
| 5 | 2019 | 9 | |
| 6 | 2018 | 40 | |
| 7 | 2018 | 42 | |
| 8 | 2018 | 23 | |
| 9 | 2018 | 47 | |
| 10 | 2017 | 41 | |
| 11 | 2017 | 0 | |
| 12 | 2016 | 71 | |
| 13 | 2012 | 157 | |
| 14 | 2009 | 487 | |
| 15 | 2005 | 280 | |
| 16 | 2002 | 12 | |
| 17 | Assessing population structure and its effects on association studies in a genome wide SNP dataset. | 2002 | 1 |
| 18 | Genes, fossils and behaviour : an integrated approach to human evolution | 2001 | 23 |
| 19 | 1996 | 14 | |
| 20 | Idarubicin-related side effects in recipients of T-cell-depleted allogeneic bone marrow transplants are schedule dependent. | 1993 | 18 |
About Peter Donnelly
Peter Donnelly is a scholar working on Mathematical Physics, Genetics, Statistics and Probability, Family Practice and Transplantation, having authored 208 papers that have together received 61.2k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (40 papers), Genetic Associations and Epidemiology (33 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 (15 papers) and Forensic and Genetic Research (13 papers). The work is most often cited by research in Genetics (35.2k citations), Ecological Modeling (1.9k citations), Nature and Landscape Conservation (4.6k citations), Ecology, Evolution, Behavior and Systematics (6.5k citations) and Ecology (8.2k citations). Peter Donnelly has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Matthew Stephens, Jonathan K. Pritchard, Nicholas Smith, Jonathan Marchini, Bryan Howie, Gil McVean, Simon Myers, Colin Freeman, Simon Tavaré and Lon R. Cardon. Their work appears in journals such as Advances in Applied Probability, Genetics, Journal of Applied Probability, Nature Genetics and PLoS 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.