P. A. Clay
Impact in
Papers in
-
- Research in Cotton Cultivation 8
- Weed Control and Herbicide Applications 6
- Plant Disease Management Techniques 3
- Genetics 6
- Evolution and Genetic Dynamics 6
- Co-authors
- James L. Griffin (3 shared papers)Volker H. W. Rudolf (4 shared papers)Meghan A. Duffy (6 shared papers)Alan C. York (1 shared paper)Daniel B. Reynolds (1 shared paper)David L. Jordan (1 shared paper)P. Roy Vidrine (1 shared paper)Ian H. Spicknall (6 shared papers)
- Journals
- Vaccine (2 papers)MMWR Morbidity and Mortality Weekly Report (2 papers)The American Naturalist (2 papers)Sexually Transmitted Infections (2 papers)Weed Technology (2 papers)
- Partner nations
- United StatesRussiaIsrael
In The Last Decade
P. A. Clay
23 papers receiving 487 citations
Peers
Comparison fields: 5 of 66
- Virology 97
- Pollution 95
- Plant Science 248
- Agronomy and Crop Science 45
- Modeling and Simulation 17
Countries citing papers authored by P. A. Clay
This map shows the geographic impact of P. A. Clay'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. A. Clay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. A. Clay more than expected).
Fields of papers citing papers by P. A. Clay
This network shows the impact of papers produced by P. A. Clay. 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. A. Clay. The network helps show where P. A. Clay may publish in the future.
Co-authors
The 25 scholars most cited alongside P. A. Clay, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 154 | |
| 2 | 2022 | 65 | |
| 3 | 2000 | 47 | |
| 4 | 2018 | 43 | |
| 5 | 2018 | 35 | |
| 6 | 2020 | 25 | |
| 7 | 2023 | 22 | |
| 8 | 2023 | 20 | |
| 9 | 2019 | 15 | |
| 10 | 2023 | 14 | |
| 11 | 2021 | 12 | |
| 12 | 2023 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2015 | 9 | |
| 15 | 2010 | 8 | |
| 16 | Weed Control in Arizona Ultra Narrow Row Cotton: 1999 Preliminary Results | 2000 | 5 |
| 17 | 2022 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2006 | 4 | |
| 20 | 2004 | 4 |
About P. A. Clay
P. A. Clay is a scholar working on Plant Science, Genetics, Virology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 31 papers that have together received 525 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (8 papers), Evolution and Genetic Dynamics (6 papers), Weed Control and Herbicide Applications (6 papers), Poxvirus research and outbreaks (4 papers), COVID-19 epidemiological studies (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Plant Disease Management Techniques (3 papers) and Soil Management and Crop Yield (2 papers). The work is most often cited by research in Virology (97 citations), Pollution (95 citations), Plant Science (248 citations), Agronomy and Crop Science (45 citations) and Modeling and Simulation (17 citations). P. A. Clay has collaborated with scholars based in United States, Russia and Israel. Frequent co-authors include James L. Griffin, Volker H. W. Rudolf, Meghan A. Duffy, Alan C. York, Daniel B. Reynolds, David L. Jordan, P. Roy Vidrine, Ian H. Spicknall, Michael H. Cortez and Adi V. Gundlapalli. Their work appears in journals such as Vaccine, MMWR Morbidity and Mortality Weekly Report, The American Naturalist, Sexually Transmitted Infections and Weed Technology.
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.