Deanne Wright
Impact in
- Plant Science top 5%
- Genetics and Plant Breeding
- Wheat and Barley Genetics and Pathology
- Genetically Modified Organisms Research
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
-
- Genetics and Plant Breeding 6
- Genetically Modified Organisms Research 2
- Wheat and Barley Genetics and Pathology 1
- Genetics 7
- Genetic Mapping and Diversity in Plants and Animals 6
- Genetic and phenotypic traits in livestock 3
- Animal Genetics and Reproduction 1
- Co-authors
- Mark Cooper (3 shared papers)Dean Podlich (3 shared papers)Liviu R. Totir (2 shared papers)Neil Hausmann (1 shared paper)Carlos D. Messina (1 shared paper)Andrew Baumgarten (1 shared paper)Martin P. Boer (2 shared papers)Fred A. van Eeuwijk (2 shared papers)
- Journals
- Genetics (4 papers)Seed Science Research (2 papers)Theoretical and Applied Genetics (1 paper)Crop and Pasture Science (1 paper)Canadian Journal of Statistics (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Deanne Wright
10 papers receiving 624 citations
Peers
Comparison fields: 5 of 58
- Plant Science 563
- Genetics 354
- Agronomy and Crop Science 119
- Ecology, Evolution, Behavior and Systematics 38
- Molecular Biology 105
Countries citing papers authored by Deanne Wright
This map shows the geographic impact of Deanne Wright'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 Deanne Wright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deanne Wright more than expected).
Fields of papers citing papers by Deanne Wright
This network shows the impact of papers produced by Deanne Wright. 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 Deanne Wright. The network helps show where Deanne Wright may publish in the future.
Co-authors
The 21 scholars most cited alongside Deanne Wright, 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 | 2014 | 297 | |
| 2 | 2007 | 193 | |
| 3 | 2001 | 66 | |
| 4 | 2009 | 29 | |
| 5 | 2005 | 26 | |
| 6 | 2003 | 18 | |
| 7 | 2002 | 15 | |
| 8 | 2003 | 4 | |
| 9 | 2004 | 1 | |
| 10 | 2002 | 1 |
About Deanne Wright
Deanne Wright is a scholar working on Plant Science, Genetics, Artificial Intelligence, Molecular Biology and Information Systems, having authored 10 papers that have together received 650 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetics and Plant Breeding (6 papers), Genetic and phenotypic traits in livestock (3 papers), Genetically Modified Organisms Research (2 papers), Bayesian Methods and Mixture Models (2 papers), Wheat and Barley Genetics and Pathology (1 paper), Statistical Methods and Bayesian Inference (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Plant Science (563 citations), Genetics (354 citations), Agronomy and Crop Science (119 citations), Ecology, Evolution, Behavior and Systematics (38 citations) and Molecular Biology (105 citations). Deanne Wright has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Mark Cooper, Dean Podlich, Liviu R. Totir, Neil Hausmann, Carlos D. Messina, Andrew Baumgarten, Martin P. Boer, Fred A. van Eeuwijk, Larry R. Holden and Hal S. Stern. Their work appears in journals such as Genetics, Seed Science Research, Theoretical and Applied Genetics, Crop and Pasture Science and Canadian Journal of Statistics.
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.