David Cotton
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Plant Stress Responses and Tolerance
- Chromosomal and Genetic Variations
- Molecular Biology top 10%
- Photosynthetic Processes and Mechanisms
- Plant Reproductive Biology
- Genomics and Phylogenetic Studies
Papers in
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- Invertebrate Taxonomy and Ecology 3
-
- Soil Carbon and Nitrogen Dynamics 2
- Co-authors
- J. P. Curry (3 shared papers)Mircea Podar (1 shared paper)Martin Keller (1 shared paper)Joseph A. Garcia (1 shared paper)Don Hutchison (1 shared paper)Loren Hauser (1 shared paper)Marion Walcher (1 shared paper)Karsten Zengler (1 shared paper)
- Journals
- Applied and Environmental Microbiology (1 paper)Soil Biology and Biochemistry (1 paper)Hepatology (1 paper)Pedobiologia (1 paper)The Plant Cell (1 paper)
- Partner nations
- IrelandUnited StatesSpain
In The Last Decade
David Cotton
8 papers receiving 1.2k citations
David Cotton's Hit Papers
Peers
Comparison fields: 5 of 81
- Plant Science 685
- Molecular Biology 786
- Ecology 161
- Soil Science 57
- Biochemistry 41
Countries citing papers authored by David Cotton
This map shows the geographic impact of David Cotton'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 Cotton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Cotton more than expected).
Fields of papers citing papers by David Cotton
This network shows the impact of papers produced by David Cotton. 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 Cotton. The network helps show where David Cotton may publish in the future.
Co-authors
The 20 scholars most cited alongside David Cotton, 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 | A High-Throughput Arabidopsis Reverse Genetics System Hit paper breakdown → | 2002 | 813 |
| 2 | 2007 | 194 | |
| 3 | 2000 | 76 | |
| 4 | 1983 | 54 | |
| 5 | 1980 | 35 | |
| 6 | A high-throughput Arabidopsis reverse genetics system. Plant Cell | 2003 | 33 |
| 7 | 1982 | 9 | |
| 8 | Roadmap for a GMES Operational Oceanography Mission | 2005 | 5 |
About David Cotton
David Cotton is a scholar working on Ecology, Evolution, Behavior and Systematics, Soil Science, Oceanography, Ecology and Geology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Invertebrate Taxonomy and Ecology (3 papers), Genomics and Phylogenetic Studies (2 papers), Soil Carbon and Nitrogen Dynamics (2 papers), Peatlands and Wetlands Ecology (2 papers), Maritime Navigation and Safety (1 paper), Plant Molecular Biology Research (1 paper), Oceanographic and Atmospheric Processes (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Plant Science (685 citations), Molecular Biology (786 citations), Ecology (161 citations), Soil Science (57 citations) and Biochemistry (41 citations). David Cotton has collaborated with scholars based in Ireland, United States and Spain. Frequent co-authors include J. P. Curry, Mircea Podar, Martin Keller, Joseph A. Garcia, Don Hutchison, Loren Hauser, Marion Walcher, Karsten Zengler, Trevin Holland and Luis García‐Villarreal. Their work appears in journals such as Applied and Environmental Microbiology, Soil Biology and Biochemistry, Hepatology, Pedobiologia and The Plant Cell.
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.