Cheng-Fu Su
Impact in
- Biological Psychiatry top 10%
- Physiology top 5%
- Alzheimer's disease research and treatments
- Calcium signaling and nucleotide metabolism
Papers in
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- Biological Activity of Diterpenoids and Biflavonoids 2
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- Autophagy in Disease and Therapy 9
- Co-authors
- Ashok Iyaswamy (20 shared papers)Min Li (18 shared papers)Jia Liu (19 shared papers)Zhou Zhu (17 shared papers)Sravan Gopalkrishnashetty Sreenivasmurthy (17 shared papers)Ju‐Xian Song (15 shared papers)King‐Ho Cheung (16 shared papers)Xinjie Guan (12 shared papers)
In The Last Decade
Cheng-Fu Su
34 papers receiving 998 citations
Peers
Comparison fields: 5 of 100
- Biological Psychiatry 39
- Physiology 73
- Neurology 102
- Geriatrics and Gerontology 40
- Physiology 257
Countries citing papers authored by Cheng-Fu Su
This map shows the geographic impact of Cheng-Fu 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 Cheng-Fu Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng-Fu Su more than expected).
Fields of papers citing papers by Cheng-Fu Su
This network shows the impact of papers produced by Cheng-Fu 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 Cheng-Fu Su. The network helps show where Cheng-Fu Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng-Fu 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
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 90 | |
| 2 | 2022 | 81 | |
| 3 | 2020 | 78 | |
| 4 | 2021 | 64 | |
| 5 | 2022 | 58 | |
| 6 | 2019 | 47 | |
| 7 | 2020 | 44 | |
| 8 | 2021 | 44 | |
| 9 | 2021 | 41 | |
| 10 | 2020 | 40 | |
| 11 | 2022 | 35 | |
| 12 | 2021 | 35 | |
| 13 | 2022 | 31 | |
| 14 | 2021 | 29 | |
| 15 | 2022 | 29 | |
| 16 | 2017 | 28 | |
| 17 | 2022 | 26 | |
| 18 | 1999 | 25 | |
| 19 | 2024 | 23 | |
| 20 | 2021 | 23 |
About Cheng-Fu Su
Cheng-Fu Su is a scholar working on Molecular Biology, Epidemiology, Physiology, Pharmacology and Neurology, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Autophagy in Disease and Therapy (9 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Calcium signaling and nucleotide metabolism (2 papers), Cannabis and Cannabinoid Research (2 papers) and Biological Activity of Diterpenoids and Biflavonoids (2 papers). The work is most often cited by research in Biological Psychiatry (39 citations), Physiology (73 citations), Neurology (102 citations), Geriatrics and Gerontology (40 citations) and Physiology (257 citations). Cheng-Fu Su has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Ashok Iyaswamy, Min Li, Jia Liu, Zhou Zhu, Sravan Gopalkrishnashetty Sreenivasmurthy, Ju‐Xian Song, King‐Ho Cheung, Xinjie Guan, Jiahong Lu and Benjamin Chun‐Kit Tong. Their work appears in journals such as Acta Pharmacologica Sinica, Phytomedicine, Biomedicines, International Journal of Molecular Sciences and Signal Transduction and Targeted Therapy.
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.