Ray Wu
Impact in
- Plant Science top 10%
- Plant Stress Responses and Tolerance
- Plant responses to water stress
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Biotechnology top 10%
- Transgenic Plants and Applications
Papers in
-
- Photosynthetic Processes and Mechanisms 4
- Plant tissue culture and regeneration 4
- Plant Reproductive Biology 2
- CRISPR and Genetic Engineering 2
-
- Plant nutrient uptake and metabolism 2
- Plant responses to water stress 2
- Plant Stress Responses and Tolerance 2
- Co-authors
- Yong Xie (2 shared papers)David McElroy (3 shared papers)Kimberly S. Reece (2 shared papers)Deping Xu (3 shared papers)Madge Rothenberg (1 shared paper)Robert W. Thornburg (1 shared paper)Yong Xie (1 shared paper)Ming Lei (2 shared papers)
- Journals
- Plant Molecular Biology (7 papers)Gene (1 paper)Virus Genes (1 paper)Nucleic Acids Research (1 paper)Journal of Molecular Evolution (1 paper)
- Partner nations
- United StatesCosta RicaFrance
In The Last Decade
Ray Wu
12 papers receiving 421 citations
Peers
Comparison fields: 5 of 41
- Plant Science 337
- Biotechnology 75
- Molecular Biology 274
- Insect Science 30
- Biochemistry 11
Countries citing papers authored by Ray Wu
This map shows the geographic impact of Ray Wu'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 Ray Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ray Wu more than expected).
Fields of papers citing papers by Ray Wu
This network shows the impact of papers produced by Ray Wu. 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 Ray Wu. The network helps show where Ray Wu may publish in the future.
Co-authors
The 14 scholars most cited alongside Ray Wu, 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 | 1989 | 131 | |
| 2 | 1990 | 92 | |
| 3 | 1993 | 66 | |
| 4 | 1990 | 49 | |
| 5 | 1988 | 23 | |
| 6 | 1991 | 19 | |
| 7 | 1995 | 18 | |
| 8 | 1989 | 16 | |
| 9 | 1990 | 16 | |
| 10 | 1995 | 14 | |
| 11 | 1997 | 8 | |
| 12 | 1993 | 3 |
About Ray Wu
Ray Wu is a scholar working on Molecular Biology, Plant Science, Biotechnology, Atomic and Molecular Physics, and Optics and Cell Biology, having authored 12 papers that have together received 455 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (4 papers), Plant tissue culture and regeneration (4 papers), Transgenic Plants and Applications (3 papers), Plant nutrient uptake and metabolism (2 papers), Plant responses to water stress (2 papers), Plant Stress Responses and Tolerance (2 papers), Plant Reproductive Biology (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Plant Science (337 citations), Biotechnology (75 citations), Molecular Biology (274 citations), Insect Science (30 citations) and Biochemistry (11 citations). Ray Wu has collaborated with scholars based in United States, Costa Rica and France. Frequent co-authors include Yong Xie, David McElroy, Kimberly S. Reece, Deping Xu, Madge Rothenberg, Robert W. Thornburg, Yong Xie, Ming Lei, Baiyang Wang and Teh‐hui Kao. Their work appears in journals such as Plant Molecular Biology, Gene, Virus Genes, Nucleic Acids Research and Journal of Molecular Evolution.
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.