Daniel J. Gates
Impact in
- Plant Science top 10%
- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
- Genetics and Plant Breeding
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- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
Papers in
- Genetics 6
- Genetic Mapping and Diversity in Plants and Animals 4
- Genetic diversity and population structure 3
- Genetic and phenotypic traits in livestock 2
-
- Chromosomal and Genetic Variations 3
- Co-authors
- Jeffrey Ross‐Ibarra (4 shared papers)Stacey D. Smith (4 shared papers)Markus G Stetter (2 shared papers)Wenbin Mei (2 shared papers)Bradley J. S. C. Olson (2 shared papers)Tom Elmo Clemente (1 shared paper)John D. Nason (1 shared paper)Michelle C. Stitzer (1 shared paper)
- Journals
- PLoS Genetics (3 papers)American Journal of Botany (2 papers)New Phytologist (1 paper)The Plant Genome (1 paper)Journal of Molecular Evolution (1 paper)
- Partner nations
- United StatesMexico
In The Last Decade
Daniel J. Gates
12 papers receiving 383 citations
Peers
Comparison fields: 5 of 45
- Plant Science 205
- Genetics 145
- Ecology, Evolution, Behavior and Systematics 68
- Biochemistry 18
- Molecular Biology 177
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 | 70 | |
| 2 | 2017 | 56 | |
| 3 | 2021 | 55 | |
| 4 | 2018 | 50 | |
| 5 | 2020 | 49 | |
| 6 | 2022 | 39 | |
| 7 | 2012 | 25 | |
| 8 | 2016 | 18 | |
| 9 | 2024 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2018 | 8 | |
| 12 | 2025 | 6 | |
| 13 | 2025 | 0 |
About Daniel J. Gates
Daniel J. Gates is a scholar working on Genetics, Plant Science, Ecology, Evolution, Behavior and Systematics, Biochemistry and Gender Studies, having authored 13 papers that have together received 394 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (4 papers), Genetic diversity and population structure (3 papers), Chromosomal and Genetic Variations (3 papers), Plant and animal studies (2 papers), Plant Gene Expression Analysis (2 papers), Genetic and phenotypic traits in livestock (2 papers), Photosynthetic Processes and Mechanisms (1 paper) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Plant Science (205 citations), Genetics (145 citations), Ecology, Evolution, Behavior and Systematics (68 citations), Biochemistry (18 citations) and Molecular Biology (177 citations). Daniel J. Gates has collaborated with scholars based in United States and Mexico. Frequent co-authors include Jeffrey Ross‐Ibarra, Stacey D. Smith, Markus G Stetter, Wenbin Mei, Bradley J. S. C. Olson, Tom Elmo Clemente, John D. Nason, Michelle C. Stitzer, Anne Lorant and Erin Calfee. Their work appears in journals such as PLoS Genetics, American Journal of Botany, New Phytologist, The Plant Genome and Journal of Molecular Evolution.
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.