Richard Mott

Richard Mott

University College London

H-index: 81

Europe-United Kingdom

About Richard Mott

Richard Mott, With an exceptional h-index of 81 and a recent h-index of 43 (since 2020), a distinguished researcher at University College London, specializes in the field of Statistical Genetics, Bioinformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Bioinformatics for Plant Genetics and Breeding Research

Mapping QTL underlying body weight changes that act at different times during high-fat diet challenge in collaborative cross mice

Mapping novel QTL and fine mapping of previously identified QTL associated with glucose tolerance using the collaborative cross mice

Using encrypted genotypes and phenotypes for collaborative genomic analyses to maintain data confidentiality

Whole genome resequencing and phenotyping of MAGIC population for high resolution mapping of drought tolerance in chickpea

Dominance is common in mammals and is associated with trans-acting gene expression and alternative splicing

Sparse whole-genome sequencing identifies two loci for major depressive disorder (vol 523, pg 588, 2015)

Pan-European study of genotypes and phenotypes in the Arabidopsis relative Cardamine hirsuta reveals how adaptation, demography, and development shape …

Richard Mott Information

University

Position

Weldon Professor of Computational Genetics UK

Citations(all)

40588

Citations(since 2020)

10435

Cited By

33664

hIndex(all)

81

hIndex(since 2020)

43

i10Index(all)

166

i10Index(since 2020)

106

Email

University Profile Page

Google Scholar

Richard Mott Skills & Research Interests

Statistical Genetics

Bioinformatics

Top articles of Richard Mott

Bioinformatics for Plant Genetics and Breeding Research

2024/1/24

Mapping QTL underlying body weight changes that act at different times during high-fat diet challenge in collaborative cross mice

2024/3/29

Richard Mott
Richard Mott

H-Index: 46

Mapping novel QTL and fine mapping of previously identified QTL associated with glucose tolerance using the collaborative cross mice

Mammalian Genome

2024/3

Richard Mott
Richard Mott

H-Index: 46

Using encrypted genotypes and phenotypes for collaborative genomic analyses to maintain data confidentiality

Genetics

2024/3

Whole genome resequencing and phenotyping of MAGIC population for high resolution mapping of drought tolerance in chickpea

The plant genome

2023/4/30

Dominance is common in mammals and is associated with trans-acting gene expression and alternative splicing

Genome Biology

2023/9/29

Sparse whole-genome sequencing identifies two loci for major depressive disorder (vol 523, pg 588, 2015)

Nature

2015/7/30

Pan-European study of genotypes and phenotypes in the Arabidopsis relative Cardamine hirsuta reveals how adaptation, demography, and development shape …

PLoS Biology

2023/7/18

Mapping Novel Glucose tolerance specific QTL in the Collaborative Cross mice

2023/7/13

Richard Mott
Richard Mott

H-Index: 46

Multi-trait ensemble genomic prediction and simulations of recurrent selection highlight importance of complex trait genetic architecture for long-term genetic gains in wheat

in silico Plants

2023/1/1

Michael F Scott
Michael F Scott

H-Index: 6

Richard Mott
Richard Mott

H-Index: 46

Genetic mapping of multiple traits identifies novel genes for adiposity, lipids, and insulin secretory capacity in outbred rats

Diabetes

2023/1/1

Analysis of historical selection in winter wheat

Theoretical and Applied Genetics

2022/9

Richard Mott
Richard Mott

H-Index: 46

Transcriptome-wide analyses of adipose tissue in outbred rats reveal genetic regulatory mechanisms relevant for human obesity

Physiological Genomics

2022/6/1

Epigenetic interactions

EBioMedicine

2022/1/1

Richard Mott
Richard Mott

H-Index: 46

Analysis of independent cohorts of outbred CFW mice reveals novel loci for behavioral and physiological traits and identifies factors determining reproducibility

G3

2022/1/1

Shyam Gopalakrishnan
Shyam Gopalakrishnan

H-Index: 20

Richard Mott
Richard Mott

H-Index: 46

Transcriptomic Analysis of Adipose Tissue in Rats Reveals Genetics Relevant for Obesity in Humans

Obesity

2021/12/1

Richard Mott
Richard Mott

H-Index: 46

Genetic Mapping of Metabolic Traits Identifies Novel Candidate Genes for Adiposity in Outbred Rats

Obesity

2021/12/1

Richard Mott
Richard Mott

H-Index: 46

Genetic mapping of novel modifiers for ApcMin induced intestinal polyps’ development using the genetic architecture power of the collaborative cross mice

BMC genomics

2021/12

Richard Mott
Richard Mott

H-Index: 46

Limited haplotype diversity underlies polygenic trait architecture across 70 years of wheat breeding

Genome Biology

2021/5/6

Rfx6 identified as a candidate gene for whole pancreas insulin content in outbred heterogeneous stock rats

The FASEB Journal

2021/5

William Valdar
William Valdar

H-Index: 29

Richard Mott
Richard Mott

H-Index: 46

See List of Professors in Richard Mott University(University College London)

Co-Authors

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