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
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
- Forensic and Genetic Research 1
- Genetics and Neurodevelopmental Disorders 1
- Surgery 3
- Pancreatic function and diabetes 1
- Cholesterol and Lipid Metabolism 1
- Pancreatitis Pathology and Treatment 1
- Co-authors
- Andrey Ziyatdinov (1 shared paper)Manuel A. R. Ferreira (1 shared paper)Christian Benner (1 shared paper)Evan K. Maxwell (1 shared paper)Joshua Backman (1 shared paper)Jonathan Marchini (1 shared paper)Joelle Mbatchou (1 shared paper)Aris Baras (1 shared paper)
- Journals
- Genetic Epidemiology (2 papers)BMC Genetics (1 paper)The American Journal of Human Genetics (1 paper)Nature Genetics (1 paper)PLoS ONE (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Mathew Barber
8 papers receiving 927 citations
Mathew Barber's Hit Papers
Peers
Comparison fields: 5 of 112
- Genetics 510
- Endocrinology, Diabetes and Metabolism 100
- Nephrology 40
- Pharmacology 42
- Surgery 182
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 | 512 |
| 2 | 2010 | 180 | |
| 3 | 2008 | 129 | |
| 4 | 2017 | 61 | |
| 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, Pathology and Forensic Medicine and Endocrine and Autonomic Systems, having authored 8 papers that have together received 940 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), Forensic and Genetic Research (1 paper), Pancreatic function and diabetes (1 paper), Cholesterol and Lipid Metabolism (1 paper), Pancreatitis Pathology and Treatment (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Genetics (510 citations), Endocrinology, Diabetes and Metabolism (100 citations), Nephrology (40 citations), Pharmacology (42 citations) and Surgery (182 citations). Mathew Barber has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Andrey Ziyatdinov, Manuel A. R. Ferreira, Christian Benner, Evan K. Maxwell, Joshua Backman, Jonathan Marchini, Joelle Mbatchou, Aris Baras, Lukas Habegger and Anthony Marcketta. Their work appears in journals such as Genetic Epidemiology, BMC Genetics, The American Journal of Human Genetics, Nature Genetics and PLoS ONE.
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.