Peter Day
Impact in
- Endocrinology top 1%
- Plant and Fungal Interactions Research
- Plant Science top 1%
- Plant Virus Research Studies
- Mycorrhizal Fungi and Plant Interactions
Papers in
-
- Plant Disease Resistance and Genetics 14
- Plant Virus Research Studies 13
- Genetically Modified Organisms Research 11
-
- Plant tissue culture and regeneration 15
- Co-authors
- Y. Koltin (4 shared papers)Sandra L. Anagnostakis (3 shared papers)G. J. Jellis (1 shared paper)Israel Zelitch (3 shared papers)K. M. Świeżyński (2 shared papers)Richard H. Friend (5 shared papers)Alexander Hollaender (2 shared papers)Raymond P. Poincelot (4 shared papers)
- Journals
- Synthetic Metals (9 papers)PLANT PHYSIOLOGY (7 papers)Genetics Research (5 papers)Crop Science (4 papers)Nature (4 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Peter Day
168 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 163
- Endocrinology 385
- Plant Science 2.1k
- Cell Biology 474
- Electronic, Optical and Magnetic Materials 520
- Biotechnology 195
Countries citing papers authored by Peter Day
This map shows the geographic impact of Peter Day'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 Peter Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Day more than expected).
Fields of papers citing papers by Peter Day
This network shows the impact of papers produced by Peter Day. 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 Peter Day. The network helps show where Peter Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Day, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 355 | |
| 2 | Genetics of host-parasite interaction | 1974 | 204 |
| 3 | 1975 | 186 | |
| 4 | Genetics and Plant Pathogenesis | 1987 | 167 |
| 5 | 1977 | 162 | |
| 6 | 2010 | 107 | |
| 7 | Biotechnology in Plant Science: Relevance to Agriculture in the Eighties | 1986 | 102 |
| 8 | 1976 | 94 | |
| 9 | 1965 | 91 | |
| 10 | 1971 | 87 | |
| 11 | 1960 | 76 | |
| 12 | 1960 | 73 | |
| 13 | 1975 | 64 | |
| 14 | 1977 | 64 | |
| 15 | 1994 | 63 | |
| 16 | 1968 | 60 | |
| 17 | 2003 | 55 | |
| 18 | 1987 | 52 | |
| 19 | 1971 | 52 | |
| 20 | 1963 | 48 |
About Peter Day
Peter Day is a scholar working on Plant Science, Molecular Biology, Electronic, Optical and Magnetic Materials, Cell Biology and Public Administration, having authored 192 papers that have together received 3.9k indexed citations. Recurring topics across this work include Magnetism in coordination complexes (25 papers), Organic and Molecular Conductors Research (20 papers), Plant Pathogens and Fungal Diseases (19 papers), Plant tissue culture and regeneration (15 papers), Plant Disease Resistance and Genetics (14 papers), Plant Virus Research Studies (13 papers), Genetically Modified Organisms Research (11 papers) and Social Work Education and Practice (10 papers). The work is most often cited by research in Endocrinology (385 citations), Plant Science (2.1k citations), Cell Biology (474 citations), Electronic, Optical and Magnetic Materials (520 citations) and Biotechnology (195 citations). Peter Day has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Y. Koltin, Sandra L. Anagnostakis, G. J. Jellis, Israel Zelitch, K. M. Świeżyński, Richard H. Friend, Alexander Hollaender, Raymond P. Poincelot, M. Kurmoo and Richard A. Jaynes. Their work appears in journals such as Synthetic Metals, PLANT PHYSIOLOGY, Genetics Research, Crop Science and Nature.
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.