Richard G. Percy
- Plant Science top 0.5%
- Endocrinology top 0.5%
- Molecular Biology
- Global and Planetary Change top 10%
- Cell Biology top 10%
- Co-authors
- Jinfa ZhangEduardo ZeigerE. L. TurcotteJonathan F. WendelMauricio UlloaR. G. CantrellJohn Z. YuJack C. McCarty
- Topics
- Research in Cotton Cultivation (79 papers)Plant and Fungal Interactions Research (34 papers)Plant Virus Research Studies (28 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Richard G. Percy
83 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Plant Science 2.3k
- Endocrinology 682
- Molecular Biology 457
- Global and Planetary Change 166
- Cell Biology 147
Countries citing papers authored by Richard G. Percy
This map shows the geographic impact of Richard G. Percy'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 Richard G. Percy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard G. Percy more than expected).
Fields of papers citing papers by Richard G. Percy
This network shows the impact of papers produced by Richard G. Percy. 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 Richard G. Percy. The network helps show where Richard G. Percy may publish in the future.
Co-authorship network of co-authors of Richard G. Percy
This figure shows the co-authorship network connecting the top 25 collaborators of Richard G. Percy. A scholar is included among the top collaborators of Richard G. Percy 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 Richard G. Percy. Richard G. Percy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 32 | |
| 3 | 20 | |
| 4 | 11 | |
| 5 | 14 | |
| 6 | 32 | |
| 7 | 4 | |
| 8 | 36 | |
| 9 | 239 | |
| 10 | 15 | |
| 11 | 8 | |
| 12 | The future of cotton breeding in the western United States. | 8 |
| 13 | Breeding for Fusarium Wilt Race 4 Resistance in Cotton under Field and Greenhouse Conditions | 58 |
| 14 | Effect of chromosome substitutions from Gossypium barbadense L. 3-79 into G. hirsutum L. TM-1 on agronomic and fiber traits | 46 |
| 15 | BREEDING AND GENETICS Effect of Chromosome Substitutions from Gossypium barbadense L. 3-79 into G. hirsutum L. TM-1 on Agronomic and Fiber Traits | 7 |
| 16 | 9 | |
| 17 | QTL analysis of stomatal conductance and relationship to lint yield in an interspecific cotton. | 37 |
| 18 | 48 | |
| 19 | 66 | |
| 20 | 5 |
About Richard G. Percy
Richard G. Percy is a scholar working on Endocrinology, Plant Science and Horticulture, having authored 85 papers that have together received 2.5k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (79 papers), Plant and Fungal Interactions Research (34 papers) and Plant Virus Research Studies (28 papers). The work is most often cited by research in Endocrinology (682 citations), Plant Science (2.3k citations) and Horticulture (46 citations). Richard G. Percy has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jinfa Zhang, Eduardo Zeiger, E. L. Turcotte, Jonathan F. Wendel, Mauricio Ulloa, R. G. Cantrell, John Z. Yu, Jack C. McCarty, David D. Fang and Don C. Jones. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and PLoS ONE.
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.