David E. Starkey
Impact in
- Cell Biology top 2%
- Plant Pathogens and Fungal Diseases
- Plant Science top 2%
- Mycotoxins in Agriculture and Food
- Plant Disease Resistance and Genetics
- Wheat and Barley Genetics and Pathology
- Plant-Microbe Interactions and Immunity
Papers in
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- Amphibian and Reptile Biology 5
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- Turtle Biology and Conservation 3
- Co-authors
- Kerry O’Donnell (3 shared papers)David M. Geiser (3 shared papers)Todd J. Ward (2 shared papers)H. Bradley Shaffer (4 shared papers)Takayuki Aoki (2 shared papers)Don Gaba (1 shared paper)T. W. Nowicki (1 shared paper)Beáta Tóth (1 shared paper)
- Journals
- Fungal Genetics and Biology (3 papers)Evolution (2 papers)Molecular Phylogenetics and Evolution (2 papers)Subterranean Biology (1 paper)Evolutionary Ecology (1 paper)
- Partner nations
- United StatesJapanCanada
In The Last Decade
David E. Starkey
14 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 64
- Cell Biology 703
- Plant Science 844
- Nature and Landscape Conservation 197
- Ecological Modeling 50
- Global and Planetary Change 177
Countries citing papers authored by David E. Starkey
This map shows the geographic impact of David E. Starkey'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 David E. Starkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Starkey more than expected).
Fields of papers citing papers by David E. Starkey
This network shows the impact of papers produced by David E. Starkey. 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 David E. Starkey. The network helps show where David E. Starkey may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Starkey, 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 | 2007 | 401 | |
| 2 | 2007 | 396 | |
| 3 | 2003 | 113 | |
| 4 | 2003 | 110 | |
| 5 | 2001 | 65 | |
| 6 | 2007 | 54 | |
| 7 | 2008 | 52 | |
| 8 | 2015 | 13 | |
| 9 | 2003 | 10 | |
| 10 | 2008 | 9 | |
| 11 | 2013 | 8 | |
| 12 | 2012 | 7 | |
| 13 | 2014 | 5 | |
| 14 | 2014 | 3 | |
| 15 | 2019 | 0 |
About David E. Starkey
David E. Starkey is a scholar working on Global and Planetary Change, Nature and Landscape Conservation, Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (5 papers), Plant Pathogens and Fungal Diseases (3 papers), Turtle Biology and Conservation (3 papers), Genetic diversity and population structure (3 papers), Fish Biology and Ecology Studies (2 papers), Mycorrhizal Fungi and Plant Interactions (2 papers), Species Distribution and Climate Change (2 papers) and Mycotoxins in Agriculture and Food (2 papers). The work is most often cited by research in Cell Biology (703 citations), Plant Science (844 citations), Nature and Landscape Conservation (197 citations), Ecological Modeling (50 citations) and Global and Planetary Change (177 citations). David E. Starkey has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Kerry O’Donnell, David M. Geiser, Todd J. Ward, H. Bradley Shaffer, Takayuki Aoki, Don Gaba, T. W. Nowicki, Beáta Tóth, Jeannie Gilbert and Susan K. Patrick. Their work appears in journals such as Fungal Genetics and Biology, Evolution, Molecular Phylogenetics and Evolution, Subterranean Biology and Evolutionary Ecology.
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.