David Roxbee Cox
Impact in
- Genetics top 0.02%
- Genetic Associations and Epidemiology
- Genomic variations and chromosomal abnormalities
- Molecular Biology top 0.05%
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
Papers in
- Genetics 63
- Genomic variations and chromosomal abnormalities 20
- Genetic Associations and Epidemiology 17
- Genetic Mapping and Diversity in Plants and Animals 13
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- Genomics and Chromatin Dynamics 17
- Gene expression and cancer classification 12
- Epigenetics and DNA Methylation 11
- Co-authors
- George E. P. Box (1 shared paper)Richard M. Myers (32 shared papers)David A. Hinds (12 shared papers)Val C. Sheffield (4 shared papers)Leonard S. Lerman (1 shared paper)Len A. Pennacchio (4 shared papers)Kelly A. Frazer (11 shared papers)Valerie S. Isham (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (15 papers)Science (13 papers)Nature (13 papers)Biometrika (12 papers)Genomics (8 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
David Roxbee Cox
201 papers receiving 55.9k citations
David Roxbee Cox's Hit Papers
Peers
Comparison fields: 5 of 239
- Genetics 15.7k
- Molecular Biology 25.9k
- Statistics and Probability 2.8k
- Cancer Research 3.3k
- Aging 360
Countries citing papers authored by David Roxbee Cox
This map shows the geographic impact of David Roxbee 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 Roxbee 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 Roxbee Cox more than expected).
Fields of papers citing papers by David Roxbee Cox
This network shows the impact of papers produced by David Roxbee 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 Roxbee Cox. The network helps show where David Roxbee Cox may publish in the future.
Co-authors
The 25 scholars most cited alongside David Roxbee 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
Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Initial sequencing and analysis of the human genome Hit paper breakdown → | 2001 | 17763 |
| 2 | An Analysis of Transformations Hit paper breakdown → | 1964 | 11723 |
| 3 | A second generation human haplotype map of over 3.1 million SNPs Hit paper breakdown → | 2007 | 3524 |
| 4 | Genome-wide association study identifies novel breast cancer susceptibility loci Hit paper breakdown → | 2007 | 1916 |
| 5 | Human Homolog of patched , a Candidate Gene for the Basal Cell Nevus Syndrome Hit paper breakdown → | 1996 | 1555 |
| 6 | A Common Allele on Chromosome 9 Associated with Coronary Heart Disease Hit paper breakdown → | 2007 | 1357 |
| 7 | Attachment of a 40-base-pair G + C-rich sequence (GC-clamp) to genomic DNA fragments by the polymerase chain reaction results in improved detection of single-base changes. Hit paper breakdown → | 1989 | 1107 |
| 8 | Whole-Genome Patterns of Common DNA Variation in Three Human Populations Hit paper breakdown → | 2005 | 970 |
| 9 | Blocks of Limited Haplotype Diversity Revealed by High-Resolution Scanning of Human Chromosome 21 Hit paper breakdown → | 2001 | 884 |
| 10 | An Apolipoprotein Influencing Triglycerides in Humans and Mice Revealed by Comparative Sequencing Hit paper breakdown → | 2001 | 783 |
| 11 | Structure and variability of human chromosome ends. Hit paper breakdown → | 1990 | 715 |
| 12 | 2001 | 655 | |
| 13 | 1996 | 600 | |
| 14 | 1998 | 558 | |
| 15 | Genomewide SNP variation reveals relationships among landraces and modern varieties of rice Hit paper breakdown → | 2009 | 546 |
| 16 | Whole-genome sequence variation, population structure and demographic history of the Dutch population Hit paper breakdown → | 2014 | 521 |
| 17 | Some Statistical Methods Connected with Series of Events Hit paper breakdown → | 1955 | 518 |
| 18 | 2007 | 502 | |
| 19 | Some models for rainfall based on stochastic point processes Hit paper breakdown → | 1987 | 498 |
| 20 | 1990 | 481 |
About David Roxbee Cox
David Roxbee Cox is a scholar working on Genetics, Molecular Biology, Statistics and Probability, Agronomy and Crop Science and Cell Biology, having authored 206 papers that have together received 59.6k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (20 papers), Genomics and Chromatin Dynamics (17 papers), Genetic Associations and Epidemiology (17 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers), Chromosomal and Genetic Variations (13 papers), Gene expression and cancer classification (12 papers), Epigenetics and DNA Methylation (11 papers) and Advanced Statistical Methods and Models (9 papers). The work is most often cited by research in Genetics (15.7k citations), Molecular Biology (25.9k citations), Statistics and Probability (2.8k citations), Cancer Research (3.3k citations) and Aging (360 citations). David Roxbee Cox has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include George E. P. Box, Richard M. Myers, David A. Hinds, Val C. Sheffield, Leonard S. Lerman, Len A. Pennacchio, Kelly A. Frazer, Valerie S. Isham, Ignacio Rodriguez-Iturbe and Jonathan C. Cohen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science, Nature, Biometrika 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.