Mathew Barber

3.1k total citations · 1 hit paper
8 papers, 940 citations indexed

About

Mathew Barber is a scholar working on Genetics, Surgery and Nephrology. According to data from OpenAlex, Mathew Barber has authored 8 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 3 papers in Surgery and 1 paper in Nephrology. Recurrent topics in Mathew Barber's work include Genetic Associations and Epidemiology (7 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Mathew Barber is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Mathew Barber collaborates with scholars based in United Kingdom and United States. Mathew Barber's co-authors include Aris Baras, Boris Boutkov, Colm O’Dushlaine, Leland Barnard, Evan K. Maxwell, Jonathan Marchini, Gonçalo R. Abecasis, Christian Benner, Andrey Ziyatdinov and Manuel A. R. Ferreira and has published in prestigious journals such as Nature Communications, Nature Genetics and PLoS ONE.

In The Last Decade

Mathew Barber

8 papers receiving 927 citations

Hit Papers

Computationally efficient whole-genome regression for qua... 2021 2026 2022 2024 2021 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mathew Barber United Kingdom 6 510 275 182 121 100 8 940
Nigel W. Rayner United Kingdom 15 594 1.2× 419 1.5× 196 1.1× 133 1.1× 174 1.7× 25 1.0k
Bong-Jo Kim South Korea 17 396 0.8× 384 1.4× 98 0.5× 169 1.4× 119 1.2× 57 939
Ganesh Chauhan India 16 275 0.5× 240 0.9× 106 0.6× 183 1.5× 128 1.3× 28 769
Tetsuo Fujimaki Japan 16 257 0.5× 333 1.2× 126 0.7× 89 0.7× 127 1.3× 65 864
Akl C. Fahed United States 15 374 0.7× 177 0.6× 204 1.1× 111 0.9× 91 0.9× 43 935
Sharon L.R. Kardia United States 19 695 1.4× 497 1.8× 214 1.2× 106 0.9× 192 1.9× 49 1.3k
Yuki Bradford United States 17 593 1.2× 331 1.2× 71 0.4× 129 1.1× 141 1.4× 38 1.4k
Claudia H.T. Tam Hong Kong 15 391 0.8× 394 1.4× 170 0.9× 160 1.3× 239 2.4× 37 968
Benjamin B. Sun United Kingdom 10 689 1.4× 444 1.6× 161 0.9× 179 1.5× 121 1.2× 15 1.4k
Lisa A. Bastarache United States 9 461 0.9× 309 1.1× 92 0.5× 120 1.0× 38 0.4× 11 954

Countries citing papers authored by Mathew Barber

Since Specialization
Citations

This map shows the geographic impact of Mathew Barber'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 Mathew Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathew Barber more than expected).

Fields of papers citing papers by Mathew Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathew Barber. 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 Mathew Barber. The network helps show where Mathew Barber may publish in the future.

Co-authorship network of co-authors of Mathew Barber

This figure shows the co-authorship network connecting the top 25 collaborators of Mathew Barber. A scholar is included among the top collaborators of Mathew Barber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mathew Barber. Mathew Barber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Mbatchou, Joelle, Leland Barnard, Joshua Backman, et al.. (2021). Computationally efficient whole-genome regression for quantitative and binary traits. Nature Genetics. 53(7). 1097–1103. 512 indexed citations breakdown →
2.
Han, Eunjung, Peter Carbonetto, Yong Wang, et al.. (2017). Clustering of 770,000 genomes reveals post-colonial population structure of North America. Nature Communications. 8(1). 14238–14238. 61 indexed citations
3.
Barber, Mathew, Lara M. Mangravite, Craig Hyde, et al.. (2010). Genome-Wide Association of Lipid-Lowering Response to Statins in Combined Study Populations. PLoS ONE. 5(3). e9763–e9763. 180 indexed citations
4.
Reiner, Alexander P., Mathew Barber, Yongtao Guan, et al.. (2008). Polymorphisms of the HNF1A Gene Encoding Hepatocyte Nuclear Factor-1α are Associated with C-Reactive Protein. The American Journal of Human Genetics. 82(5). 1193–1201. 129 indexed citations
5.
Harding, Brian, Fadil Hannan, Paul T. Christie, et al.. (2006). Functional characterization of calcium sensing receptor polymorphisms and absence of association with indices of calcium homeostasis and bone mineral density. Clinical Endocrinology. 65(5). 598–605. 34 indexed citations
6.
Barber, Mathew, Eleanor Wheeler, & Heather J. Cordell. (2005). Linkage analysis of GAW14 simulated data: comparison of multimarker, multipoint, and conditional approaches. BMC Genetics. 6(S1). S40–S40. 1 indexed citations
7.
Barber, Mathew, John A. Todd, & Heather J. Cordell. (2005). A multimarker regression‐based test of linkage for affected sib‐pairs at two linked loci. Genetic Epidemiology. 30(3). 191–208. 4 indexed citations
8.
Barber, Mathew, Heather J. Cordell, Alex J. MacGregor, & Toby Andrew. (2004). Gamma regression improves Haseman‐Elston and variance components linkage analysis for sib‐pairs. Genetic Epidemiology. 26(2). 97–107. 19 indexed citations

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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