Robert Griffiths

13.1k citations
181 papers · 9.9k · 1 hit paper · h-index 48

Impact in

  • Genetics top 0.5%
    • Genetic diversity and population structure
    • Evolution and Genetic Dynamics
    • Genetic Mapping and Diversity in Plants and Animals
    • Stochastic processes and statistical mechanics

Papers in

    • Stochastic processes and statistical mechanics 43
    • Evolution and Genetic Dynamics 47
    • Genetic diversity and population structure 20

Robert Griffiths

169 papers receiving 9.5k citations

Robert Griffiths's Hit Papers

Angiotensin II causes hypertension and cardiac hypertrophy through its receptors in the kidney 2006 · 596 citations
5960+6+13Years since publication100200300400500

Peers

Robert Griffiths
Comparison fields: 5 of 183
  • Genetics 3.9k
  • Mathematical Physics 779
  • Nephrology 487
  • Cardiology and Cardiovascular Medicine 1.5k
  • Endocrinology, Diabetes and Metabolism 1.1k
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Robert Griffiths relative to Mark T. Seielstad United States Mark T. Seielstad's profile →
Citations per field
00.5×5×10×15.6×
Mark T. Seielstad · 1×
Citations per year

Countries citing papers authored by Robert Griffiths

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Robert Griffiths Line = papers co-authored together Robert Griffiths links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 181 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997622
2
Angiotensin II causes hypertension and cardiac hypertrophy through its receptors in the kidney
Hit paper breakdown →
2006596
3 1994484
4
Archaic African and Asian lineages in the genetic ancestry of modern humans.
1997336
5 1994329
6 1996323
7 2006295
8 2005291
9 1998274
10 2009236
11 1999235
12 1994217
13 2010217
14 1992199
15 1997193
16 1998184
17 2000176
18 2000153
19 2003150
20 2008137

About Robert Griffiths

Robert Griffiths is a scholar working on Mathematical Physics, Genetics, Artificial Intelligence, Statistics and Probability and Cardiology and Cardiovascular Medicine, having authored 181 papers that have together received 9.9k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (47 papers), Stochastic processes and statistical mechanics (43 papers), Bayesian Methods and Mixture Models (32 papers), Mathematical and Theoretical Epidemiology and Ecology Models (23 papers), Genetic diversity and population structure (20 papers), Renin-Angiotensin System Studies (20 papers), Hormonal Regulation and Hypertension (15 papers) and Gene expression and cancer classification (14 papers). The work is most often cited by research in Genetics (3.9k citations), Mathematical Physics (779 citations), Nephrology (487 citations), Cardiology and Cardiovascular Medicine (1.5k citations) and Endocrinology, Diabetes and Metabolism (1.1k citations). Robert Griffiths has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Simon Tavaré, Thomas M. Coffman, Paul Marjoram, Steven D. Crowley, Phillip Ruiz, 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, Journal of Mathematical Biology, Hypertension 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.

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