P. D. Cluster
Impact in
- Plant Science top 5%
- Plant Virus Research Studies
- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
- Plant Disease Resistance and Genetics
- Biotechnology top 5%
- Transgenic Plants and Applications
Papers in
-
- Plant Virus Research Studies 4
- Plant Pathogens and Resistance 3
- Chromosomal and Genetic Variations 3
- Plant Disease Resistance and Genetics 3
- Wheat and Barley Genetics and Pathology 2
- Plant Molecular Biology Research 2
-
- Plant Gene Expression Analysis 3
- RNA and protein synthesis mechanisms 2
- Co-authors
- Richard A. Jorgensen (2 shared papers)R. B. Flavell (3 shared papers)M. Metzlaff (3 shared papers)Michael R. O’Dell (3 shared papers)Carolyn A. Napoli (1 shared paper)James J. English (1 shared paper)Qiudeng Que (1 shared paper)R. W. Allard (3 shared papers)
- Journals
- Theoretical and Applied Genetics (2 papers)Plant Molecular Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Genome (1 paper)Genetics (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
P. D. Cluster
12 papers receiving 868 citations
Peers
Comparison fields: 5 of 63
- Plant Science 656
- Biotechnology 149
- Molecular Biology 662
- Horticulture 7
- Endocrinology 35
Countries citing papers authored by P. D. Cluster
This map shows the geographic impact of P. D. Cluster'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 P. D. Cluster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. D. Cluster more than expected).
Fields of papers citing papers by P. D. Cluster
This network shows the impact of papers produced by P. D. Cluster. 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 P. D. Cluster. The network helps show where P. D. Cluster may publish in the future.
Co-authors
The 23 scholars most cited alongside P. D. Cluster, 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 | 1996 | 297 | |
| 2 | 1997 | 236 | |
| 3 | 1988 | 132 | |
| 4 | 1996 | 85 | |
| 5 | 1987 | 67 | |
| 6 | 1996 | 29 | |
| 7 | 1995 | 23 | |
| 8 | 1999 | 22 | |
| 9 | 1996 | 18 | |
| 10 | 1990 | 11 | |
| 11 | 1997 | 10 | |
| 12 | 1995 | 3 |
About P. D. Cluster
P. D. Cluster is a scholar working on Plant Science, Molecular Biology, Genetics, Infectious Diseases and Organic Chemistry, having authored 12 papers that have together received 933 indexed citations. Recurring topics across this work include Plant Virus Research Studies (4 papers), Plant Pathogens and Resistance (3 papers), Chromosomal and Genetic Variations (3 papers), Plant Gene Expression Analysis (3 papers), Plant Disease Resistance and Genetics (3 papers), Wheat and Barley Genetics and Pathology (2 papers), Plant Molecular Biology Research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Plant Science (656 citations), Biotechnology (149 citations), Molecular Biology (662 citations), Horticulture (7 citations) and Endocrinology (35 citations). P. D. Cluster has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Richard A. Jorgensen, R. B. Flavell, M. Metzlaff, Michael R. O’Dell, Carolyn A. Napoli, James J. English, Qiudeng Que, R. W. Allard, Darko Marinković and Francisco J. Ayala. Their work appears in journals such as Theoretical and Applied Genetics, Plant Molecular Biology, Proceedings of the National Academy of Sciences, Genome and Genetics.
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.