Diane Davidson
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
-
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Photosynthetic Processes and Mechanisms
- Plant Gene Expression Analysis
- Plant Reproductive Biology
Papers in
-
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 4
- RNA Research and Splicing 4
-
- Plant Molecular Biology Research 2
- Plant nutrient uptake and metabolism 2
- Legume Nitrogen Fixing Symbiosis 2
- Co-authors
- John W. Brown (4 shared papers)Craig G. Simpson (4 shared papers)Jim McNicol (3 shared papers)John Fuller (3 shared papers)Andrea Barta (2 shared papers)Maria Kalyna (2 shared papers)Anne L. Maddison (2 shared papers)Pete E. Hedley (2 shared papers)
- Journals
- Frontiers in Plant Science (2 papers)The Plant Journal (2 papers)Journal of Experimental Botany (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)New Phytologist (1 paper)
- Partner nations
- United KingdomAustriaAustralia
In The Last Decade
Diane Davidson
10 papers receiving 334 citations
Peers
Comparison fields: 5 of 39
- Plant Science 206
- Molecular Biology 253
- Developmental Neuroscience 6
- Food Science 24
- Biochemistry 7
Countries citing papers authored by Diane Davidson
This map shows the geographic impact of Diane Davidson'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 Diane Davidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane Davidson more than expected).
Fields of papers citing papers by Diane Davidson
This network shows the impact of papers produced by Diane Davidson. 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 Diane Davidson. The network helps show where Diane Davidson may publish in the future.
Co-authors
The 25 scholars most cited alongside Diane Davidson, 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 | 86 | |
| 2 | 2018 | 53 | |
| 3 | 1996 | 52 | |
| 4 | 1999 | 47 | |
| 5 | 2006 | 31 | |
| 6 | 2008 | 27 | |
| 7 | 2000 | 16 | |
| 8 | 2014 | 15 | |
| 9 | 1989 | 13 | |
| 10 | 2021 | 3 |
About Diane Davidson
Diane Davidson is a scholar working on Molecular Biology, Plant Science, Pharmacology, Computational Theory and Mathematics and Physiology, having authored 10 papers that have together received 343 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (4 papers), Plant Molecular Biology Research (2 papers), Plant nutrient uptake and metabolism (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Plant Science (206 citations), Molecular Biology (253 citations), Developmental Neuroscience (6 citations), Food Science (24 citations) and Biochemistry (7 citations). Diane Davidson has collaborated with scholars based in United Kingdom, Austria and Australia. Frequent co-authors include John W. Brown, Craig G. Simpson, Jim McNicol, John Fuller, Andrea Barta, Maria Kalyna, Anne L. Maddison, Pete E. Hedley, Gordon C. Machray and Philip Smith. Their work appears in journals such as Frontiers in Plant Science, The Plant Journal, Journal of Experimental Botany, Journal of Pharmacology and Experimental Therapeutics and New Phytologist.
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.