Robert Davey
Impact in
- Molecular Biology top 5%
- Fungal and yeast genetics research
- Genomics and Phylogenetic Studies
- Yeasts and Rust Fungi Studies
- Genetics top 5%
- Evolution and Genetic Dynamics
- Genetic diversity and population structure
Papers in
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- Scientific Computing and Data Management 8
- Academic Publishing and Open Access 3
-
- Research Data Management Practices 15
- Co-authors
- Richard M. Leggett (4 shared papers)Darren Waite (3 shared papers)Ricardo Humberto Ramirez-Gonzalez (3 shared papers)Bernardo Clavijo (1 shared paper)Mario Cáccamo (7 shared papers)Nicola Soranzo (4 shared papers)Simon Griffiths (2 shared papers)Joachim Fritscher (1 shared paper)
- Journals
- F1000Research (15 papers)GigaScience (5 papers)Wellcome Open Research (3 papers)Bioinformatics (3 papers)PLoS Computational Biology (2 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Robert Davey
43 papers receiving 2.3k citations
Robert Davey's Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.2k
- Genetics 480
- Plant Science 565
- Food Science 220
- Aging 14
Countries citing papers authored by Robert Davey
This map shows the geographic impact of Robert Davey'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 Robert Davey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Davey more than expected).
Fields of papers citing papers by Robert Davey
This network shows the impact of papers produced by Robert Davey. 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 Robert Davey. The network helps show where Robert Davey may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Davey, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Population genomics of domestic and wild yeasts Hit paper breakdown → | 2009 | 1145 |
| 2 | 2013 | 199 | |
| 3 | Population genomic analysis of Aegilops tauschii identifies targets for bread wheat improvement Hit paper breakdown → | 2021 | 173 |
| 4 | 2022 | 93 | |
| 5 | 2019 | 74 | |
| 6 | 2022 | 62 | |
| 7 | 2022 | 55 | |
| 8 | 2015 | 50 | |
| 9 | 2017 | 40 | |
| 10 | 2016 | 39 | |
| 11 | 2023 | 32 | |
| 12 | 2014 | 29 | |
| 13 | 2020 | 29 | |
| 14 | 2015 | 28 | |
| 15 | 2024 | 25 | |
| 16 | 2021 | 24 | |
| 17 | 2024 | 24 | |
| 18 | 2021 | 21 | |
| 19 | 2017 | 19 | |
| 20 | 2020 | 18 |
About Robert Davey
Robert Davey is a scholar working on Information Systems and Management, Information Systems, Molecular Biology, Plant Science and Ecology, having authored 44 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (17 papers), Research Data Management Practices (15 papers), Scientific Computing and Data Management (8 papers), Wheat and Barley Genetics and Pathology (4 papers), Academic Publishing and Open Access (3 papers), Smart Agriculture and AI (3 papers), Fungal and yeast genetics research (3 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Genetics (480 citations), Plant Science (565 citations), Food Science (220 citations) and Aging (14 citations). Robert Davey has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Richard M. Leggett, Darren Waite, Ricardo Humberto Ramirez-Gonzalez, Bernardo Clavijo, Mario Cáccamo, Nicola Soranzo, Simon Griffiths, Joachim Fritscher, Mohammad Bahram and Ezgi Özkurt. Their work appears in journals such as F1000Research, GigaScience, Wellcome Open Research, Bioinformatics and PLoS Computational Biology.
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.