Pai-Hsiang Su
Impact in
- Plant Science top 10%
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
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- Photosynthetic Processes and Mechanisms
- Heat shock proteins research
- Mitochondrial Function and Pathology
- Plant biochemistry and biosynthesis
- ATP Synthase and ATPases Research
Papers in
-
- Photosynthetic Processes and Mechanisms 3
- Mitochondrial Function and Pathology 3
- Heat shock proteins research 3
- Plant Reproductive Biology 2
- Plant tissue culture and regeneration 2
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- Plant Genetic and Mutation Studies 2
- Co-authors
- Hsou‐min Li (4 shared papers)Lih‐Jen Chen (1 shared paper)Chwan‐Deng Hsiao (1 shared paper)M. M. Kesavulu (1 shared paper)Su‐May Yu (2 shared papers)Ching-San Chen (2 shared papers)
- Journals
- Frontiers in Plant Science (2 papers)PLANT PHYSIOLOGY (2 papers)Journal of Plant Physiology (2 papers)Journal of Biomedical Science (1 paper)The Plant Cell (1 paper)
- Partner nations
- Taiwan
In The Last Decade
Pai-Hsiang Su
9 papers receiving 484 citations
Peers
Comparison fields: 5 of 51
- Plant Science 251
- Molecular Biology 393
- Biochemistry 24
- Insect Science 34
- Renewable Energy, Sustainability and the Environment 38
Countries citing papers authored by Pai-Hsiang Su
This map shows the geographic impact of Pai-Hsiang Su'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 Pai-Hsiang Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pai-Hsiang Su more than expected).
Fields of papers citing papers by Pai-Hsiang Su
This network shows the impact of papers produced by Pai-Hsiang Su. 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 Pai-Hsiang Su. The network helps show where Pai-Hsiang Su may publish in the future.
Co-authors
The 6 scholars most cited alongside Pai-Hsiang Su, 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 | 2008 | 225 | |
| 2 | 2010 | 164 | |
| 3 | 2015 | 36 | |
| 4 | 1996 | 19 | |
| 5 | 2007 | 18 | |
| 6 | 2017 | 17 | |
| 7 | 2001 | 7 | |
| 8 | 2020 | 4 | |
| 9 | 2004 | 2 |
About Pai-Hsiang Su
Pai-Hsiang Su is a scholar working on Molecular Biology, Plant Science, Cellular and Molecular Neuroscience, Biotechnology and Epidemiology, having authored 9 papers that have together received 492 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (3 papers), Mitochondrial Function and Pathology (3 papers), Heat shock proteins research (3 papers), Plant Genetic and Mutation Studies (2 papers), Transgenic Plants and Applications (2 papers), Plant Reproductive Biology (2 papers), Photoreceptor and optogenetics research (2 papers) and Plant tissue culture and regeneration (2 papers). The work is most often cited by research in Plant Science (251 citations), Molecular Biology (393 citations), Biochemistry (24 citations), Insect Science (34 citations) and Renewable Energy, Sustainability and the Environment (38 citations). Pai-Hsiang Su has collaborated with scholars based in Taiwan. Frequent co-authors include Hsou‐min Li, Lih‐Jen Chen, Chwan‐Deng Hsiao, M. M. Kesavulu, Su‐May Yu and Ching-San Chen. Their work appears in journals such as Frontiers in Plant Science, PLANT PHYSIOLOGY, Journal of Plant Physiology, Journal of Biomedical Science 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.