Peng W. Chee
Impact in
- Endocrinology top 0.5%
- Plant and Fungal Interactions Research
- Plant Science top 0.5%
- Research in Cotton Cultivation
- Plant Virus Research Studies
- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Smart Agriculture and AI
Papers in
-
- Plant and Fungal Interactions Research 28
-
- Research in Cotton Cultivation 71
- Plant Virus Research Studies 37
- Smart Agriculture and AI 7
- Plant Disease Resistance and Genetics 7
- Genetics and Plant Breeding 7
- Nematode management and characterization studies 6
- Co-authors
- Andrew H. PatersonO. Lloyd MayC. Wayne SmithXavier DrayeBaohua WangEdward L. LubbersJunkang RongChangying Li
- Journals
- Crop Science (16 papers)Theoretical and Applied Genetics (14 papers)Frontiers in Plant Science (9 papers)Genome (4 papers)Computers and Electronics in Agriculture (3 papers)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Peng W. Chee
100 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 85
- Endocrinology 537
- Plant Science 2.6k
- Horticulture 32
- Agronomy and Crop Science 166
- Environmental Engineering 177
Countries citing papers authored by Peng W. Chee
This map shows the geographic impact of Peng W. Chee'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 Peng W. Chee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng W. Chee more than expected).
Fields of papers citing papers by Peng W. Chee
This network shows the impact of papers produced by Peng W. Chee. 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 Peng W. Chee. The network helps show where Peng W. Chee may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng W. Chee, 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 | 2025 | 5 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2018 | 165 | |
| 12 | 2016 | 24 | |
| 13 | 2011 | 40 | |
| 14 | 2010 | 9 | |
| 15 | 2009 | 8 | |
| 16 | 2006 | 18 | |
| 17 | 2005 | 72 | |
| 18 | 2000 | 118 | |
| 19 | 1994 | 109 | |
| 20 | 1993 | 12 |
About Peng W. Chee
Peng W. Chee is a scholar working on Endocrinology, Plant Science, Horticulture, Agronomy and Crop Science and Environmental Engineering, having authored 107 papers that have together received 2.8k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (71 papers), Plant Virus Research Studies (37 papers), Plant and Fungal Interactions Research (28 papers), Smart Agriculture and AI (7 papers), Plant Disease Resistance and Genetics (7 papers), Genetics and Plant Breeding (7 papers), Nematode management and characterization studies (6 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). The work is most often cited by research in Endocrinology (537 citations), Plant Science (2.6k citations), Horticulture (32 citations), Agronomy and Crop Science (166 citations) and Environmental Engineering (177 citations). Peng W. Chee has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Andrew H. Paterson, O. Lloyd May, C. Wayne Smith, Xavier Draye, Baohua Wang, Edward L. Lubbers, Junkang Rong, Changying Li, Shangpeng Sun and Jon S. Robertson. Their work appears in journals such as Crop Science, Theoretical and Applied Genetics, Frontiers in Plant Science, Genome and Computers and Electronics in Agriculture.
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.