David J. Studholme
Impact in
- Plant Science top 0.2%
- Plant-Microbe Interactions and Immunity
- Plant Pathogenic Bacteria Studies
- Plant Molecular Biology Research
- Legume Nitrogen Fixing Symbiosis
- Plant Pathogens and Resistance
- Endocrinology top 1%
Papers in
- Plant Science 109
- Plant-Microbe Interactions and Immunity 53
- Plant Pathogenic Bacteria Studies 51
- Legume Nitrogen Fixing Symbiosis 29
- Banana Cultivation and Research 16
- Plant Pathogens and Resistance 16
- Co-authors
- Dan MacLeanJonathan D. G. JonesDavid C. BaulcombeFrank SchwachMartin BuckRay DixonKonrad PaszkiewiczJamie Harrison
- Journals
- Molecular Plant Pathology (6 papers)Journal of Bacteriology (6 papers)PLoS ONE (6 papers)BMC Genomics (5 papers)PLoS Pathogens (5 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
David J. Studholme
174 papers receiving 7.4k citations
Peers
Comparison fields: 5 of 150
- Plant Science 4.3k
- Endocrinology 354
- Cell Biology 950
- Molecular Biology 3.4k
- Ecology 914
Countries citing papers authored by David J. Studholme
This map shows the geographic impact of David J. Studholme'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 J. Studholme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Studholme more than expected).
Fields of papers citing papers by David J. Studholme
This network shows the impact of papers produced by David J. Studholme. 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 J. Studholme. The network helps show where David J. Studholme may publish in the future.
Co-authors
The 25 scholars most cited alongside David J. Studholme, 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 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 21 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 26 | |
| 13 | 2021 | 22 | |
| 14 | 2020 | 18 | |
| 15 | 2019 | 0 | |
| 16 | 2014 | 35 | |
| 17 | 2010 | 303 | |
| 18 | 2009 | 242 | |
| 19 | Time Series Data Mining Algorithms for Identifying Short RNA in Arabidopsis thaliana | 2008 | 2 |
| 20 | 2004 | 1 |
About David J. Studholme
David J. Studholme is a scholar working on Plant Science, Molecular Medicine, Endocrinology, Cell Biology and Ecology, having authored 176 papers that have together received 7.5k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (53 papers), Plant Pathogenic Bacteria Studies (51 papers), Genomics and Phylogenetic Studies (39 papers), Legume Nitrogen Fixing Symbiosis (29 papers), Plant Pathogens and Fungal Diseases (20 papers), Bacteriophages and microbial interactions (18 papers), Banana Cultivation and Research (16 papers) and Plant Pathogens and Resistance (16 papers). The work is most often cited by research in Plant Science (4.3k citations), Endocrinology (354 citations), Cell Biology (950 citations), Molecular Biology (3.4k citations) and Ecology (914 citations). David J. Studholme has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Dan MacLean, Jonathan D. G. Jones, David C. Baulcombe, Frank Schwach, Martin Buck, Ray Dixon, Konrad Paszkiewicz, Jamie Harrison, Rebecca A. Mosher and Murray Grant. Their work appears in journals such as Molecular Plant Pathology, Journal of Bacteriology, PLoS ONE, BMC Genomics and PLoS Pathogens.
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.