Robert Griffiths
Impact in
- Genetics top 0.2%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
- Genetic Mapping and Diversity in Plants and Animals
- Mathematical Physics top 1%
- Stochastic processes and statistical mechanics
Papers in
- Genetics 64
- Evolution and Genetic Dynamics 42
- Genetic diversity and population structure 20
- Co-authors
- Simon Tavaré (8 shared papers)Thomas M. Coffman (32 shared papers)Steven D. Crowley (25 shared papers)Phillip Ruiz (14 shared papers)Paul Marjoram (1 shared paper)Peter Donnelly (4 shared papers)David J. Balding (1 shared paper)Susan B. Gurley (11 shared papers)
- Journals
- Theoretical Population Biology (21 papers)Advances in Applied Probability (20 papers)Hypertension (11 papers)Journal of Mathematical Biology (10 papers)Kidney International (9 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Robert Griffiths
160 papers receiving 8.6k citations
Robert Griffiths's Hit Papers
Peers
Comparison fields: 5 of 178
- Genetics 3.4k
- Mathematical Physics 678
- Cardiology and Cardiovascular Medicine 1.4k
- Nephrology 440
- Endocrinology, Diabetes and Metabolism 966
Countries citing papers authored by Robert Griffiths
This map shows the geographic impact of Robert Griffiths'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 Robert Griffiths with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Griffiths more than expected).
Fields of papers citing papers by Robert Griffiths
This network shows the impact of papers produced by Robert Griffiths. 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 Robert Griffiths. The network helps show where Robert Griffiths may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Griffiths, 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 169 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inferring Coalescence Times From DNA Sequence Data Hit paper breakdown → | 1997 | 578 |
| 2 | Angiotensin II causes hypertension and cardiac hypertrophy through its receptors in the kidney Hit paper breakdown → | 2006 | 554 |
| 3 | 1994 | 437 | |
| 4 | Archaic African and Asian lineages in the genetic ancestry of modern humans. | 1997 | 323 |
| 5 | 1994 | 304 | |
| 6 | 1996 | 293 | |
| 7 | 2005 | 269 | |
| 8 | 2006 | 267 | |
| 9 | 1998 | 251 | |
| 10 | 2009 | 222 | |
| 11 | 1999 | 213 | |
| 12 | 2010 | 208 | |
| 13 | 1994 | 202 | |
| 14 | 1998 | 181 | |
| 15 | 1992 | 169 | |
| 16 | 2000 | 158 | |
| 17 | 2000 | 147 | |
| 18 | 2003 | 132 | |
| 19 | 2008 | 131 | |
| 20 | 2019 | 126 |
About Robert Griffiths
Robert Griffiths is a scholar working on Genetics, Molecular Biology, Mathematical Physics, Artificial Intelligence and Public Health, Environmental and Occupational Health, having authored 169 papers that have together received 8.9k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (42 papers), Stochastic processes and statistical mechanics (35 papers), Bayesian Methods and Mixture Models (30 papers), Mathematical and Theoretical Epidemiology and Ecology Models (22 papers), Genetic diversity and population structure (20 papers), Renin-Angiotensin System Studies (20 papers), Hormonal Regulation and Hypertension (15 papers) and Sodium Intake and Health (14 papers). The work is most often cited by research in Genetics (3.4k citations), Mathematical Physics (678 citations), Cardiology and Cardiovascular Medicine (1.4k citations), Nephrology (440 citations) and Endocrinology, Diabetes and Metabolism (966 citations). Robert Griffiths has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Simon Tavaré, Thomas M. Coffman, Steven D. Crowley, Phillip Ruiz, Paul Marjoram, Peter Donnelly, David J. Balding, Susan B. Gurley, Hyung‐Suk Kim and Thu H. Le. Their work appears in journals such as Theoretical Population Biology, Advances in Applied Probability, Hypertension, Journal of Mathematical Biology and Kidney International.
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.