R. F. White
- Plant Science top 1%
- Molecular Biology top 10%
- Neurology top 0.5%
- Immunology top 5%
- Biotechnology top 2%
- Co-authors
- Frank C. BaroneG FeuersteinJ. F. AntoniwPeter McDonnellPeter R. YoungRobert ClarkB. KassanisWilliam J. Price
- Topics
- Plant Virus Research Studies (48 papers)Plant tissue culture and regeneration (18 papers)Plant-Microbe Interactions and Immunity (14 papers)
- Cited by
- NeurologyPlant ScienceBiotechnology
- Journals
- NatureStrokeBrain Research
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
R. F. White
99 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Plant Science 1.4k
- Molecular Biology 1.2k
- Neurology 950
- Immunology 622
- Biotechnology 301
Countries citing papers authored by R. F. White
This map shows the geographic impact of R. F. White'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 R. F. White with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. F. White more than expected).
Fields of papers citing papers by R. F. White
This network shows the impact of papers produced by R. F. White. 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 R. F. White. The network helps show where R. F. White may publish in the future.
Co-authorship network of co-authors of R. F. White
This figure shows the co-authorship network connecting the top 25 collaborators of R. F. White. A scholar is included among the top collaborators of R. F. White based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R. F. White. R. F. White is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 134 | |
| 2 | 6 | |
| 3 | 95 | |
| 4 | 156 | |
| 5 | 18 | |
| 6 | 214 | |
| 7 | 30 | |
| 8 | 87 | |
| 9 | 116 | |
| 10 | 57 | |
| 11 | 46 | |
| 12 | 2 | |
| 13 | 61 | |
| 14 | The effects of aspirin and poly acrylic acid on the multiplication and spread of tobacco mosaic virus in different cultivars of tobacco nicotiana tobacum with and without the n gene | 4 |
| 15 | Electrophoretic and serological comparisons of pathogenesis-related (b) proteins from different plant species | 1 |
| 16 | Acetylsalicylic acid (aspirin) induces resistance to tobacco mosaic virus in tobaccobreakdown → | 562 |
| 17 | 7 | |
| 18 | Techniques of high resolution nuclear magnetic resonance spectroscopy | 6 |
| 19 | 3 | |
| 20 | 2 |
About R. F. White
R. F. White is a scholar working on Endocrinology, Biotechnology and Plant Science, having authored 103 papers that have together received 3.8k indexed citations. Recurring topics across this work include Plant Virus Research Studies (48 papers), Plant tissue culture and regeneration (18 papers) and Plant-Microbe Interactions and Immunity (14 papers). The work is most often cited by research in Neurology (950 citations), Plant Science (1.4k citations) and Biotechnology (301 citations). R. F. White has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Frank C. Barone, G Feuerstein, J. F. Antoniw, Peter McDonnell, Peter R. Young, Robert Clark, B. Kassanis, William J. Price, R. D. Woods and Peter J. Smith. Their work appears in journals such as Nature, Stroke and Brain 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.