Fu-Wah Chan
- Public Health, Environmental and Occupational Health top 10%
- Molecular Biology
- Genetics top 10%
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Sachio TakashimaL. E. BeckerDon ArmstrongLaurence E. BeckerDawna L. ArmstrongVenita JayK TakadaDavid Malkin
- Topics
- Neural dynamics and brain function (4 papers)Photoreceptor and optogenetics research (2 papers)Visual perception and processing mechanisms (2 papers)
- Cited by
- Developmental NeurosciencePublic Health, Environmental and Occupational HealthCellular and Molecular Neuroscience
- Partner nations
- CanadaUnited States
In The Last Decade
Fu-Wah Chan
9 papers receiving 625 citations
Peers
Comparison fields: 5 of 73
- Public Health, Environmental and Occupational Health 240
- Molecular Biology 229
- Genetics 182
- Cognitive Neuroscience 135
- Cellular and Molecular Neuroscience 130
Countries citing papers authored by Fu-Wah Chan
This map shows the geographic impact of Fu-Wah Chan'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 Fu-Wah Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fu-Wah Chan more than expected).
Fields of papers citing papers by Fu-Wah Chan
This network shows the impact of papers produced by Fu-Wah Chan. 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 Fu-Wah Chan. The network helps show where Fu-Wah Chan may publish in the future.
Co-authorship network of co-authors of Fu-Wah Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Fu-Wah Chan. A scholar is included among the top collaborators of Fu-Wah Chan 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 Fu-Wah Chan. Fu-Wah Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | P53 expression in choroid plexus neoplasms: an immunohistochemical study. | 11 |
| 2 | 16 | |
| 3 | 7 | |
| 4 | Aberrant dendritic development in the human agyric cortex: a quantitative and qualitative Golgi study of two cases. | 14 |
| 5 | 219 | |
| 6 | 13 | |
| 7 | 33 | |
| 8 | 243 | |
| 9 | 91 |
About Fu-Wah Chan
Fu-Wah Chan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 9 papers that have together received 647 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Photoreceptor and optogenetics research (2 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (60 citations), Public Health, Environmental and Occupational Health (240 citations) and Cellular and Molecular Neuroscience (130 citations). Fu-Wah Chan has collaborated with scholars based in Canada and United States. Frequent co-authors include Sachio Takashima, L. E. Becker, Don Armstrong, Laurence E. Becker, Dawna L. Armstrong, Venita Jay, K Takada, David Malkin and Laurence E. Becker. Their work appears in journals such as PEDIATRICS, Annals of Neurology and Brain Research.
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.