Robert Griffiths
- Genetics top 0.2%
- Evolution and Genetic Dynamics 41
- Genetic diversity and population structure 20
- Mathematical Physics top 1%
- Stochastic processes and statistical mechanics 35
- Nephrology top 1%
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- Hormonal Regulation and Hypertension 18
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- Renin-Angiotensin System Studies 22
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- Bayesian Methods and Mixture Models 30
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- Mathematical and Theoretical Epidemiology and Ecology Models 21
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- Sodium Intake and Health 14
- Co-authors
- Simon TavaréThomas M. CoffmanSteven D. CrowleyPhillip RuizPaul MarjoramPeter DonnellyDavid J. BaldingSusan B. Gurley
- Journals
- Theoretical Population Biology (21 papers)Advances in Applied Probability (20 papers)Hypertension (11 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Robert Griffiths
163 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Genetics 3.6k
- Mathematical Physics 668
- Nephrology 490
- Endocrinology, Diabetes and Metabolism 1.1k
- Cardiology and Cardiovascular Medicine 1.5k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2019 | 11 | |
| 5 | 2016 | 0 | |
| 6 | 2015 | 123 | |
| 7 | 2014 | 16 | |
| 8 | 2010 | 27 | |
| 9 | 2009 | 3 | |
| 10 | 2008 | 25 | |
| 11 | Angiotensin II causes hypertension and cardiac hypertrophy through its receptors in the kidneybreakdown → | 2006 | 548 |
| 12 | 2006 | 10 | |
| 13 | 2001 | 25 | |
| 14 | 1998 | 251 | |
| 15 | 1994 | 435 | |
| 16 | 1993 | 46 | |
| 17 | 1992 | 169 | |
| 18 | 1991 | 5 | |
| 19 | 1987 | 7 | |
| 20 | 1978 | 19 |
About Robert Griffiths
Robert Griffiths is a scholar working on Mathematical Physics, Genetics, Transplantation, Statistics and Probability and Endocrinology, Diabetes and Metabolism, having authored 171 papers that have together received 9.0k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (41 papers), Stochastic processes and statistical mechanics (35 papers), Bayesian Methods and Mixture Models (30 papers), Renin-Angiotensin System Studies (22 papers), Mathematical and Theoretical Epidemiology and Ecology Models (21 papers), Genetic diversity and population structure (20 papers), Hormonal Regulation and Hypertension (18 papers) and Sodium Intake and Health (14 papers). The work is most often cited by research in Genetics (3.6k citations), Mathematical Physics (668 citations), Nephrology (490 citations), Endocrinology, Diabetes and Metabolism (1.1k citations) and Cardiology and Cardiovascular Medicine (1.5k 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.