Richard Mott
Impact in
Papers in
- Genetics 87
- Genetic Mapping and Diversity in Plants and Animals 63
- Genetic and phenotypic traits in livestock 34
- Genetic Associations and Epidemiology 19
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- Genomics and Phylogenetic Studies 15
- RNA and protein synthesis mechanisms 11
- Genomics and Chromatin Dynamics 10
- Co-authors
- Jonathan Flint (41 shared papers)William Valdar (12 shared papers)Detlef Weigel (2 shared papers)Sagiv Shifman (6 shared papers)Fuad A. Iraqi (22 shared papers)Binnaz Yalcin (10 shared papers)Richard R. Copley (8 shared papers)Caroline Durrant (7 shared papers)
- Journals
- Genetics (10 papers)Mammalian Genome (10 papers)Genome Research (9 papers)Bioinformatics (7 papers)Nature Genetics (7 papers)
- Partner nations
- United KingdomUnited StatesIsrael
In The Last Decade
Richard Mott
166 papers receiving 9.4k citations
Peers
Comparison fields: 5 of 164
- Genetics 4.1k
- Aging 250
- Plant Science 2.5k
- Molecular Biology 4.3k
- Behavioral Neuroscience 188
Countries citing papers authored by Richard Mott
This map shows the geographic impact of Richard Mott'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 Richard Mott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Mott more than expected).
Fields of papers citing papers by Richard Mott
This network shows the impact of papers produced by Richard Mott. 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 Richard Mott. The network helps show where Richard Mott may publish in the future.
Co-authors
The 25 scholars most cited alongside Richard Mott, 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 168 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 404 | |
| 2 | 2006 | 400 | |
| 3 | 2005 | 384 | |
| 4 | 2000 | 349 | |
| 5 | 2009 | 323 | |
| 6 | 2003 | 259 | |
| 7 | 1997 | 257 | |
| 8 | 2011 | 235 | |
| 9 | 2004 | 228 | |
| 10 | 2001 | 220 | |
| 11 | 2006 | 216 | |
| 12 | 1997 | 214 | |
| 13 | 2006 | 200 | |
| 14 | 1997 | 184 | |
| 15 | 2014 | 177 | |
| 16 | 2016 | 167 | |
| 17 | 2012 | 158 | |
| 18 | 2006 | 146 | |
| 19 | 2011 | 143 | |
| 20 | 2005 | 140 |
About Richard Mott
Richard Mott is a scholar working on Genetics, Molecular Biology, Plant Science, Physiology and Cellular and Molecular Neuroscience, having authored 168 papers that have together received 9.6k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (63 papers), Genetic and phenotypic traits in livestock (34 papers), Genetic Associations and Epidemiology (19 papers), Genomics and Phylogenetic Studies (15 papers), RNA and protein synthesis mechanisms (11 papers), Chromosomal and Genetic Variations (10 papers), Genomics and Chromatin Dynamics (10 papers) and Wheat and Barley Genetics and Pathology (10 papers). The work is most often cited by research in Genetics (4.1k citations), Aging (250 citations), Plant Science (2.5k citations), Molecular Biology (4.3k citations) and Behavioral Neuroscience (188 citations). Richard Mott has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Jonathan Flint, William Valdar, Detlef Weigel, Sagiv Shifman, Fuad A. Iraqi, Binnaz Yalcin, Richard R. Copley, Caroline Durrant, J. N. P. Rawlins and Martin S. Taylor. Their work appears in journals such as Genetics, Mammalian Genome, Genome Research, Bioinformatics and Nature Genetics.
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.