M. C. Denham
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
- Advanced Statistical Methods and Models
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
- Genetics 5
- Genetic and phenotypic traits in livestock 4
- Genetic Mapping and Diversity in Plants and Animals 4
- Genetic Associations and Epidemiology 1
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- Gene expression and cancer classification 2
- Co-authors
- John C. Whittaker (4 shared papers)R. Thompson (3 shared papers)T. Lwin (1 shared paper)J. S. Maritz (1 shared paper)Philip J. Brown (1 shared paper)Andrew P. Morris (1 shared paper)Suojin Wang (1 shared paper)Clifford H. Spiegelman (1 shared paper)
- Journals
- Annals of Human Genetics (2 papers)The American Journal of Human Genetics (1 paper)Genetics Research (1 paper)Biostatistics (1 paper)Statistics and Computing (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
M. C. Denham
9 papers receiving 427 citations
Peers
Comparison fields: 5 of 82
- Statistics and Probability 80
- Genetics 265
- Plant Science 227
- Statistics, Probability and Uncertainty 33
- Analytical Chemistry 32
Countries citing papers authored by M. C. Denham
This map shows the geographic impact of M. C. Denham'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 M. C. Denham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. C. Denham more than expected).
Fields of papers citing papers by M. C. Denham
This network shows the impact of papers produced by M. C. Denham. 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 M. C. Denham. The network helps show where M. C. Denham may publish in the future.
Co-authors
The 8 scholars most cited alongside M. C. Denham, 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 | 2000 | 259 | |
| 2 | 1990 | 104 | |
| 3 | 1995 | 26 | |
| 4 | 1993 | 18 | |
| 5 | 2000 | 12 | |
| 6 | 1999 | 12 | |
| 7 | 1999 | 5 | |
| 8 | 2003 | 4 | |
| 9 | 1996 | 2 |
About M. C. Denham
M. C. Denham is a scholar working on Genetics, Molecular Biology, Analytical Chemistry, Artificial Intelligence and Control and Systems Engineering, having authored 9 papers that have together received 442 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Gene expression and cancer classification (2 papers), Genetic Associations and Epidemiology (1 paper), Neural Networks and Applications (1 paper), Advanced Statistical Methods and Models (1 paper) and Genetics and Plant Breeding (1 paper). The work is most often cited by research in Statistics and Probability (80 citations), Genetics (265 citations), Plant Science (227 citations), Statistics, Probability and Uncertainty (33 citations) and Analytical Chemistry (32 citations). M. C. Denham has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include John C. Whittaker, R. Thompson, T. Lwin, J. S. Maritz, Philip J. Brown, Andrew P. Morris, Suojin Wang and Clifford H. Spiegelman. Their work appears in journals such as Annals of Human Genetics, The American Journal of Human Genetics, Genetics Research, Biostatistics and Statistics and Computing.
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.