Richard Mott

32.4k citations
168 papers · 9.6k indexed · h-index 55

Impact in

  • Genetics top 0.2%
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock
    • Genetic Associations and Epidemiology
  • Aging top 1%

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 72
    • Genetic and phenotypic traits in livestock 38
    • Genetic Associations and Epidemiology 25
    • Genomics and Phylogenetic Studies 16
    • RNA and protein synthesis mechanisms 14
    • Gene expression and cancer classification 11

Richard Mott

165 papers receiving 9.3k citations

Peers

Richard Mott
Comparison fields: 5 of 167
  • Genetics 4.4k
  • Aging 260
  • Plant Science 2.6k
  • Molecular Biology 4.7k
  • Behavioral Neuroscience 212
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Richard Mott relative to Yoav Gilad United States Yoav Gilad's profile →
Citations per field
00.5×1.5×2.0×
Yoav Gilad · 1×
Citations per year

Countries citing papers authored by Richard Mott

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

20 of 20 papers shown
#Work
1 202319
2 20239
3 20227
4 20226
5 20218
6 202110
7 202033
8 20194
9 201912
10 201973
11 201937
12 20182
13 201822
14 20188
15 201735
16 201569
17 2011140
18 2008101
19 200492
20
High-performance frequency doublers for the Comstar beacon
19771

About Richard Mott

Richard Mott is a scholar working on Genetics, Molecular Biology, Aging, Plant Science and Small Animals, 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 (72 papers), Genetic and phenotypic traits in livestock (38 papers), Genetic Associations and Epidemiology (25 papers), Genomics and Phylogenetic Studies (16 papers), RNA and protein synthesis mechanisms (14 papers), Chromosomal and Genetic Variations (12 papers), Adipose Tissue and Metabolism (11 papers) and Gene expression and cancer classification (11 papers). The work is most often cited by research in Genetics (4.4k citations), Aging (260 citations), Plant Science (2.6k citations), Molecular Biology (4.7k citations) and Behavioral Neuroscience (212 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.

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