Wah Soon Chow
- Plant Science top 0.1%
- Molecular Biology top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Global and Planetary Change top 2%
- Ecology, Evolution, Behavior and Systematics top 1%
- Co-authors
- Jan M. AndersonYoun‐Il ParkLuke HendricksonÅke StridRiichi OguchiRobert T. FurbankIchiro TerashimaJames Barber
- Topics
- Photosynthetic Processes and Mechanisms (147 papers)Light effects on plants (66 papers)Photoreceptor and optogenetics research (49 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryPLANT PHYSIOLOGY
- Partner nations
- AustraliaChinaUnited Kingdom
In The Last Decade
Wah Soon Chow
168 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Plant Science 6.5k
- Molecular Biology 6.2k
- Cellular and Molecular Neuroscience 1.3k
- Global and Planetary Change 1.1k
- Ecology, Evolution, Behavior and Systematics 933
Countries citing papers authored by Wah Soon Chow
This map shows the geographic impact of Wah Soon Chow'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 Wah Soon Chow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wah Soon Chow more than expected).
Fields of papers citing papers by Wah Soon Chow
This network shows the impact of papers produced by Wah Soon Chow. 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 Wah Soon Chow. The network helps show where Wah Soon Chow may publish in the future.
Co-authorship network of co-authors of Wah Soon Chow
This figure shows the co-authorship network connecting the top 25 collaborators of Wah Soon Chow. A scholar is included among the top collaborators of Wah Soon Chow 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 Wah Soon Chow. Wah Soon Chow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 56 | |
| 8 | 19 | |
| 9 | 18 | |
| 10 | 18 | |
| 11 | DIFFERENTIAL RESPONSES OF PHOTOSYSTEM II ACTIVITY TO PHOTOOXIDATION IN RED AND GREEN TISSUES OF AMARANTHUS TRICOLOR LEAVES | 8 |
| 12 | Green Light Drives Leaf Photosynthesis More Efficiently than Red Light in Strong White Light: Revisiting the Enigmatic Question of Why Leaves are Greenbreakdown → | 568 |
| 13 | 129 | |
| 14 | 15 | |
| 15 | 34 | |
| 16 | 43 | |
| 17 | 37 | |
| 18 | 22 | |
| 19 | 62 | |
| 20 | 1 |
About Wah Soon Chow
Wah Soon Chow is a scholar working on Plant Science, Cellular and Molecular Neuroscience and Molecular Biology, having authored 172 papers that have together received 9.5k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (147 papers), Light effects on plants (66 papers) and Photoreceptor and optogenetics research (49 papers). The work is most often cited by research in Plant Science (6.5k citations), Molecular Biology (6.2k citations) and Biochemistry (462 citations). Wah Soon Chow has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include Jan M. Anderson, Youn‐Il Park, Luke Hendrickson, Åke Strid, Riichi Oguchi, Robert T. Furbank, Ichiro Terashima, James Barber, Dayong Fan and Takashi Fujita. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLANT PHYSIOLOGY.
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.