David R. Cox
Impact in
- Statistics and Probability top 0.05%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Genetics top 0.1%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genomic variations and chromosomal abnormalities
Papers in
-
- Advanced Statistical Methods and Models 9
- Genetics 56
- Genomic variations and chromosomal abnormalities 16
- Genetic Associations and Epidemiology 14
- Genetic Mapping and Diversity in Plants and Animals 12
- Co-authors
- George E. P. BoxR MyersDavid A. HindsKelly A. FrazerVal C. SheffieldLeonard S. LermanL PennacchioValerie Isham
- Journals
- Proceedings of the National Academy of Sciences (14 papers)Biometrika (12 papers)Genome Research (11 papers)Science (8 papers)Genomics (8 papers)
- Partner nations
- United StatesUnited KingdomMexico
In The Last Decade
David R. Cox
187 papers receiving 28.2k citations
Hit Papers
Peers
Comparison fields: 5 of 237
- Statistics and Probability 2.5k
- Genetics 6.2k
- Molecular Biology 9.3k
- Statistics, Probability and Uncertainty 914
- Aging 163
Countries citing papers authored by David R. Cox
This map shows the geographic impact of David R. Cox'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 David R. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Cox more than expected).
Fields of papers citing papers by David R. Cox
This network shows the impact of papers produced by David R. Cox. 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 David R. Cox. The network helps show where David R. Cox may publish in the future.
Co-authors
The 25 scholars most cited alongside David R. Cox, 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 | 2011 | 46 | |
| 2 | A Common Allele on Chromosome 9 Associated with Coronary Heart Disease Hit paper breakdown → | 2007 | 1164 |
| 3 | 2007 | 445 | |
| 4 | 2007 | 8 | |
| 5 | 2004 | 68 | |
| 6 | 2004 | 66 | |
| 7 | 2004 | 25 | |
| 8 | 2002 | 133 | |
| 9 | An Apolipoprotein Influencing Triglycerides in Humans and Mice Revealed by Comparative Sequencing Hit paper breakdown → | 2001 | 747 |
| 10 | 2001 | 75 | |
| 11 | 1996 | 41 | |
| 12 | 1996 | 230 | |
| 13 | 1995 | 437 | |
| 14 | 1992 | 11 | |
| 15 | 1989 | 6 | |
| 16 | 1988 | 53 | |
| 17 | 1988 | 249 | |
| 18 | 1988 | 15 | |
| 19 | Isolation and regional mapping of DNA sequences unique to human chromosome 21. | 1987 | 44 |
| 20 | 1984 | 25 |
About David R. Cox
David R. Cox is a scholar working on Statistics and Probability, Genetics, Molecular Biology, Biochemistry and Agronomy and Crop Science, having authored 189 papers that have together received 30.1k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (16 papers), Genomics and Chromatin Dynamics (15 papers), Chromosomal and Genetic Variations (15 papers), Genetic Associations and Epidemiology (14 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers), Gene expression and cancer classification (11 papers), DNA Repair Mechanisms (9 papers) and Advanced Statistical Methods and Models (9 papers). The work is most often cited by research in Statistics and Probability (2.5k citations), Genetics (6.2k citations), Molecular Biology (9.3k citations), Statistics, Probability and Uncertainty (914 citations) and Aging (163 citations). David R. Cox has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include George E. P. Box, R Myers, David A. Hinds, Kelly A. Frazer, Val C. Sheffield, Leonard S. Lerman, L Pennacchio, Valerie Isham, I. Rodriguez‐Iturbe and Jonathan C. Cohen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biometrika, Genome Research, Science and Genomics.
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.