Gary Barker
Impact in
- Plant Science top 0.5%
- Wheat and Barley Genetics and Pathology
- Chromosomal and Genetic Variations
- Genetics and Plant Breeding
- Plant Disease Resistance and Genetics
- Genetics top 1%
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- Wheat and Barley Genetics and Pathology 22
- Research in Cotton Cultivation 16
- Genetics and Plant Breeding 12
-
- Genomics and Phylogenetic Studies 11
- Co-authors
- Keith J. Edwards (36 shared papers)Julian Gough (2 shared papers)D.N. Cooper (1 shared paper)Peter D. Stenson (1 shared paper)Hashem A. Shihab (1 shared paper)Ian N.M. Day (1 shared paper)Tom R. Gaunt (1 shared paper)Paul K. Hayes (11 shared papers)
- Journals
- Plant Biotechnology Journal (12 papers)Applied Engineering in Agriculture (5 papers)Journal of Phycology (4 papers)PLoS ONE (4 papers)BMC Genomics (4 papers)
- Partner nations
- United KingdomUnited StatesRussia
In The Last Decade
Gary Barker
111 papers receiving 5.7k citations
Gary Barker's Hit Papers
Peers
Comparison fields: 5 of 154
- Plant Science 2.4k
- Genetics 1.5k
- Ecology 1.4k
- Oceanography 607
- Ecological Modeling 185
Countries citing papers authored by Gary Barker
This map shows the geographic impact of Gary Barker'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 Gary Barker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Barker more than expected).
Fields of papers citing papers by Gary Barker
This network shows the impact of papers produced by Gary Barker. 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 Gary Barker. The network helps show where Gary Barker may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary Barker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predicting the Functional, Molecular, and Phenotypic Consequences of Amino Acid Substitutions using Hidden Markov Models Hit paper breakdown → | 2012 | 938 |
| 2 | 2010 | 456 | |
| 3 | High‐density Hit paper breakdown → | 2015 | 325 |
| 4 | 2006 | 276 | |
| 5 | 2003 | 230 | |
| 6 | 2006 | 212 | |
| 7 | 2011 | 209 | |
| 8 | 2012 | 203 | |
| 9 | 2012 | 144 | |
| 10 | 2012 | 135 | |
| 11 | 2003 | 131 | |
| 12 | 1996 | 117 | |
| 13 | 2012 | 116 | |
| 14 | 2012 | 115 | |
| 15 | 2005 | 104 | |
| 16 | 2008 | 99 | |
| 17 | 2004 | 96 | |
| 18 | 2016 | 75 | |
| 19 | 2010 | 70 | |
| 20 | 1998 | 69 |
About Gary Barker
Gary Barker is a scholar working on Plant Science, Molecular Biology, Ecology, Genetics and Polymers and Plastics, having authored 114 papers that have together received 6.0k indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (22 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers), Microbial Community Ecology and Physiology (16 papers), Research in Cotton Cultivation (16 papers), Textile materials and evaluations (15 papers), Genetics and Plant Breeding (12 papers), Genomics and Phylogenetic Studies (11 papers) and Polar Research and Ecology (10 papers). The work is most often cited by research in Plant Science (2.4k citations), Genetics (1.5k citations), Ecology (1.4k citations), Oceanography (607 citations) and Ecological Modeling (185 citations). Gary Barker has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Keith J. Edwards, Julian Gough, D.N. Cooper, Peter D. Stenson, Hashem A. Shihab, Ian N.M. Day, Tom R. Gaunt, Paul K. Hayes, Jane A. Coghill and David Edwards. Their work appears in journals such as Plant Biotechnology Journal, Applied Engineering in Agriculture, Journal of Phycology, PLoS ONE and BMC Genomics.
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.