Paxton Payton
- Plant Science top 0.5%
- Research in Cotton Cultivation 24
- Plant Stress Responses and Tolerance 23
- Plant responses to elevated CO2 20
- Plant Molecular Biology Research 18
- Peanut Plant Research Studies 17
- Greenhouse Technology and Climate Control 14
- Molecular Biology top 5%
- Photosynthetic Processes and Mechanisms 19
- Biochemistry top 5%
- Soil Science top 5%
- Agronomy and Crop Science top 5%
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- Plant Water Relations and Carbon Dynamics 20
- Co-authors
- Randy D. AllenSteven D. TanksleyGuoxin ShenJames J. GiovannoniA. Scott HoladayRob AlbaGregory B. MartinSundaram Kuppu
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)The Plant Cell (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Paxton Payton
115 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 130
- Plant Science 3.4k
- Molecular Biology 1.7k
- Biochemistry 128
- Soil Science 186
- Agronomy and Crop Science 181
Countries citing papers authored by Paxton Payton
This map shows the geographic impact of Paxton Payton'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 Paxton Payton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paxton Payton more than expected).
Fields of papers citing papers by Paxton Payton
This network shows the impact of papers produced by Paxton Payton. 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 Paxton Payton. The network helps show where Paxton Payton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paxton Payton, 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 | 2023 | 0 | |
| 2 | 2023 | 9 | |
| 3 | 2022 | 11 | |
| 4 | 2020 | 7 | |
| 5 | 2020 | 35 | |
| 6 | 2020 | 37 | |
| 7 | Risk Analysis of Rainfed Cotton Production in the U.S. Southern High Plains | 2018 | 1 |
| 8 | 2018 | 32 | |
| 9 | 2016 | 11 | |
| 10 | 2015 | 41 | |
| 11 | 2014 | 91 | |
| 12 | 2014 | 15 | |
| 13 | 2011 | 37 | |
| 14 | 2010 | 31 | |
| 15 | Efflux pump gene expression in Erwinia chrysanthemi is induced by exposure to phenolic acids | 2007 | 3 |
| 16 | 2005 | 415 | |
| 17 | 2005 | 93 | |
| 18 | 2003 | 22 | |
| 19 | 2002 | 2 | |
| 20 | 2001 | 72 |
About Paxton Payton
Paxton Payton is a scholar working on Plant Science, Soil Science and Horticulture, having authored 119 papers that have together received 4.3k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (24 papers), Plant Stress Responses and Tolerance (23 papers), Plant Water Relations and Carbon Dynamics (20 papers), Plant responses to elevated CO2 (20 papers), Photosynthetic Processes and Mechanisms (19 papers), Plant Molecular Biology Research (18 papers), Peanut Plant Research Studies (17 papers) and Greenhouse Technology and Climate Control (14 papers). The work is most often cited by research in Plant Science (3.4k citations), Molecular Biology (1.7k citations) and Biochemistry (128 citations). Paxton Payton has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Randy D. Allen, Steven D. Tanksley, Guoxin Shen, James J. Giovannoni, A. Scott Holaday, Rob Alba, Gregory B. Martin, Sundaram Kuppu, Melvin J. Oliver and Scot E. Dowd. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Plant Cell.
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.