Mathew Barber
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genomics and Rare Diseases
- Nephrology top 10%
Papers in
- Genetics 7
- Genetic Associations and Epidemiology 7
- Genetic Mapping and Diversity in Plants and Animals 3
- Genetic and phenotypic traits in livestock 2
- Genetics and Neurodevelopmental Disorders 1
- Forensic and Genetic Research 1
- Diabetes and associated disorders 1
- Surgery 2
- Pancreatitis Pathology and Treatment 1
- Pancreatic function and diabetes 1
- Co-authors
- Colm O’Dushlaine (1 shared paper)Christian Benner (1 shared paper)Evan K. Maxwell (1 shared paper)Anthony Marcketta (1 shared paper)Lukas Habegger (1 shared paper)Joshua Backman (1 shared paper)Jack A. Kosmicki (1 shared paper)Manuel A. R. Ferreira (1 shared paper)
- Journals
- Genetic Epidemiology (2 papers)Nature Communications (1 paper)The American Journal of Human Genetics (1 paper)PLoS ONE (1 paper)BMC Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Mathew Barber
8 papers receiving 988 citations
Mathew Barber's Hit Papers
Peers
Comparison fields: 5 of 111
- Genetics 424
- Nephrology 36
- Pharmacology 36
- Endocrinology, Diabetes and Metabolism 56
- Surgery 123
Countries citing papers authored by Mathew Barber
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
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-authors
The 25 scholars most cited alongside Mathew Barber, 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 | Computationally efficient whole-genome regression for quantitative and binary traits Hit paper breakdown → | 2021 | 573 |
| 2 | 2010 | 180 | |
| 3 | 2008 | 129 | |
| 4 | 2017 | 62 | |
| 5 | 2006 | 34 | |
| 6 | 2004 | 19 | |
| 7 | 2005 | 4 | |
| 8 | 2005 | 1 |
About Mathew Barber
Mathew Barber is a scholar working on Genetics, Surgery, Nephrology, Epidemiology and Infectious Diseases, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic and phenotypic traits in livestock (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Forensic and Genetic Research (1 paper), Diabetes and associated disorders (1 paper), Pancreatitis Pathology and Treatment (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Genetics (424 citations), Nephrology (36 citations), Pharmacology (36 citations), Endocrinology, Diabetes and Metabolism (56 citations) and Surgery (123 citations). Mathew Barber has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Colm O’Dushlaine, Christian Benner, Evan K. Maxwell, Anthony Marcketta, Lukas Habegger, Joshua Backman, Jack A. Kosmicki, Manuel A. R. Ferreira, Leland Barnard and Jonathan Marchini. Their work appears in journals such as Genetic Epidemiology, Nature Communications, The American Journal of Human Genetics, PLoS ONE and BMC 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.