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
- Epidemiology 12
- Autophagy in Disease and Therapy 11
- Co-authors
- Ashok Iyaswamy (20 shared papers)Min Li (18 shared papers)Jia Liu (19 shared papers)Sravan Gopalkrishnashetty Sreenivasmurthy (17 shared papers)Zhou Zhu (17 shared papers)Ju‐Xian Song (15 shared papers)King‐Ho Cheung (15 shared papers)Benjamin Chun‐Kit Tong (11 shared papers)
In The Last Decade
Cheng-Fu Su
34 papers receiving 935 citations
Peers
Comparison fields: 5 of 101
- Biological Psychiatry 53
- Physiology 86
- Neurology 119
- Physiology 284
- Complementary and alternative medicine 85
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 | 2022 | 77 | |
| 2 | 2023 | 77 | |
| 3 | 2020 | 72 | |
| 4 | 2021 | 61 | |
| 5 | 2022 | 57 | |
| 6 | 2020 | 44 | |
| 7 | 2021 | 43 | |
| 8 | 2019 | 42 | |
| 9 | 2020 | 39 | |
| 10 | 2021 | 38 | |
| 11 | 2022 | 35 | |
| 12 | 2021 | 34 | |
| 13 | 2022 | 30 | |
| 14 | 2021 | 27 | |
| 15 | 2017 | 27 | |
| 16 | 1999 | 24 | |
| 17 | 2022 | 24 | |
| 18 | 2022 | 24 | |
| 19 | 2021 | 22 | |
| 20 | 2022 | 21 |
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 947 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Autophagy in Disease and Therapy (11 papers), Cholinesterase and Neurodegenerative Diseases (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Calcium signaling and nucleotide metabolism (3 papers), Nerve injury and regeneration (2 papers) and Natural Compounds in Disease Treatment (2 papers). The work is most often cited by research in Biological Psychiatry (53 citations), Physiology (86 citations), Neurology (119 citations), Physiology (284 citations) and Complementary and alternative medicine (85 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, Sravan Gopalkrishnashetty Sreenivasmurthy, Zhou Zhu, Ju‐Xian Song, King‐Ho Cheung, Benjamin Chun‐Kit Tong, Jiahong Lu and Xinjie Guan. Their work appears in journals such as Acta Pharmacologica Sinica, International Journal of Molecular Sciences, Biomedicines, Phytomedicine and Autophagy.
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.