Fu Chan
Impact in
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- Traditional Chinese Medicine Analysis
Papers in
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- Advanced biosensing and bioanalysis techniques 3
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- Treatment of Major Depression 3
- Co-authors
- Maja Krčmar (2 shared papers)Richard Reed (1 shared paper)Anderson Janotti (1 shared paper)Wai Kwong Tang (4 shared papers)Frank Y. Shih (1 shared paper)Claudia J. Rawn (1 shared paper)C.T. Liu (1 shared paper)Qionglin Liang (1 shared paper)
- Journals
- Acta Materialia (2 papers)Progress in Materials Science (1 paper)Applied Sciences (1 paper)Information Sciences (1 paper)Journal of Membrane Science (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Fu Chan
17 papers receiving 325 citations
Peers
Comparison fields: 5 of 86
- Biological Psychiatry 10
- Complementary and alternative medicine 25
- Mechanical Engineering 121
- Pharmacology 27
- Aerospace Engineering 38
Countries citing papers authored by Fu Chan
This map shows the geographic impact of Fu 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 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 Chan more than expected).
Fields of papers citing papers by Fu Chan
This network shows the impact of papers produced by Fu 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 Chan. The network helps show where Fu Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fu Chan, 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 | 2005 | 94 | |
| 2 | 2016 | 39 | |
| 3 | 2014 | 36 | |
| 4 | 2006 | 30 | |
| 5 | 2005 | 19 | |
| 6 | 2015 | 18 | |
| 7 | 2004 | 18 | |
| 8 | 2006 | 14 | |
| 9 | 2023 | 12 | |
| 10 | 2005 | 11 | |
| 11 | 2017 | 10 | |
| 12 | 2025 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2013 | 4 | |
| 16 | 2016 | 3 | |
| 17 | 2016 | 2 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Fu Chan
Fu Chan is a scholar working on Molecular Biology, Pharmacology, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 19 papers that have together received 330 indexed citations. Recurring topics across this work include Treatment of Major Depression (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Advanced Chemical Physics Studies (2 papers), Biosensors and Analytical Detection (2 papers), MXene and MAX Phase Materials (2 papers), Tryptophan and brain disorders (2 papers), Intermetallics and Advanced Alloy Properties (2 papers) and Molecular Sensors and Ion Detection (1 paper). The work is most often cited by research in Biological Psychiatry (10 citations), Complementary and alternative medicine (25 citations), Mechanical Engineering (121 citations), Pharmacology (27 citations) and Aerospace Engineering (38 citations). Fu Chan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Maja Krčmar, Richard Reed, Anderson Janotti, Wai Kwong Tang, Frank Y. Shih, Claudia J. Rawn, C.T. Liu, Qionglin Liang, Xue Xiao and Gábor S. Ungvári. Their work appears in journals such as Acta Materialia, Progress in Materials Science, Applied Sciences, Information Sciences and Journal of Membrane Science.
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.