Daniel J. Gates
Impact in
- Plant Science top 10%
- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
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- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
Papers in
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- Chromosomal and Genetic Variations 3
- Plant Disease Resistance and Genetics 2
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- Genomics and Phylogenetic Studies 2
- Plant Gene Expression Analysis 2
- Co-authors
- Jeffrey Ross‐Ibarra (4 shared papers)Stacey D. Smith (4 shared papers)Bradley J. S. C. Olson (2 shared papers)Tom Clemente (1 shared paper)Markus G Stetter (1 shared paper)John D. Nason (1 shared paper)Wenbin Mei (1 shared paper)Graham Coop (1 shared paper)
- Journals
- PLoS Genetics (3 papers)Current Biology (1 paper)New Phytologist (1 paper)Journal of Molecular Evolution (1 paper)Genome Research (1 paper)
- Partner nations
- United StatesMexicoIsrael
In The Last Decade
Daniel J. Gates
11 papers receiving 294 citations
Peers
Comparison fields: 5 of 41
- Plant Science 174
- Genetics 110
- Biochemistry 20
- Ecology, Evolution, Behavior and Systematics 61
- Molecular Biology 159
Countries citing papers authored by Daniel J. Gates
This map shows the geographic impact of Daniel J. Gates'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 Daniel J. Gates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Gates more than expected).
Fields of papers citing papers by Daniel J. Gates
This network shows the impact of papers produced by Daniel J. Gates. 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 Daniel J. Gates. The network helps show where Daniel J. Gates may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Gates, 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 | 2017 | 68 | |
| 2 | 2017 | 50 | |
| 3 | 2021 | 47 | |
| 4 | 2020 | 42 | |
| 5 | 2021 | 32 | |
| 6 | 2012 | 25 | |
| 7 | 2016 | 17 | |
| 8 | 2018 | 7 | |
| 9 | 2024 | 6 | |
| 10 | 2025 | 4 | |
| 11 | 2022 | 4 |
About Daniel J. Gates
Daniel J. Gates is a scholar working on Plant Science, Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation, having authored 11 papers that have together received 302 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (3 papers), Genetic and phenotypic traits in livestock (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Plant and animal studies (2 papers), Genomics and Phylogenetic Studies (2 papers), Plant Gene Expression Analysis (2 papers), Genetic diversity and population structure (2 papers) and Plant Disease Resistance and Genetics (2 papers). The work is most often cited by research in Plant Science (174 citations), Genetics (110 citations), Biochemistry (20 citations), Ecology, Evolution, Behavior and Systematics (61 citations) and Molecular Biology (159 citations). Daniel J. Gates has collaborated with scholars based in United States, Mexico and Israel. Frequent co-authors include Jeffrey Ross‐Ibarra, Stacey D. Smith, Bradley J. S. C. Olson, Tom Clemente, Markus G Stetter, John D. Nason, Wenbin Mei, Graham Coop, Anne Lorant and Ruairidh J. H. Sawers. Their work appears in journals such as PLoS Genetics, Current Biology, New Phytologist, Journal of Molecular Evolution and Genome Research.
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.