Zhenfa Fu
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
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- Tryptophan and brain disorders
Papers in
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- Parkinson's Disease Mechanisms and Treatments 1
- Neuroinflammation and Neurodegeneration Mechanisms 1
- Amyotrophic Lateral Sclerosis Research 1
- Co-authors
- Weidong Le (5 shared papers)Xiaojiao Xu (1 shared paper)Song Li (4 shared papers)Feng Zhang (2 shared papers)Rujia Zhong (2 shared papers)Huaibin Cai (1 shared paper)Cheng Cheng (1 shared paper)Zhi‐Li Huang (1 shared paper)
- Journals
- Signal Transduction and Targeted Therapy (1 paper)Journal of Biomedical Nanotechnology (1 paper)International review of neurobiology (1 paper)Heliyon (1 paper)CNS Neuroscience & Therapeutics (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Zhenfa Fu
8 papers receiving 370 citations
Peers
Comparison fields: 5 of 72
- Neurology 83
- Biological Psychiatry 21
- Developmental Neuroscience 21
- Neurology 76
- Physical Therapy, Sports Therapy and Rehabilitation 21
Countries citing papers authored by Zhenfa Fu
This map shows the geographic impact of Zhenfa Fu'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 Zhenfa Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenfa Fu more than expected).
Fields of papers citing papers by Zhenfa Fu
This network shows the impact of papers produced by Zhenfa Fu. 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 Zhenfa Fu. The network helps show where Zhenfa Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenfa Fu, 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 | 2019 | 122 | |
| 2 | 2017 | 118 | |
| 3 | 2019 | 64 | |
| 4 | 2020 | 28 | |
| 5 | 2018 | 22 | |
| 6 | 2023 | 13 | |
| 7 | 2019 | 8 | |
| 8 | 2024 | 1 | |
| 9 | 2025 | 0 |
About Zhenfa Fu
Zhenfa Fu is a scholar working on Psychiatry and Mental health, Neurology, Cellular and Molecular Neuroscience, Physiology and Neurology, having authored 9 papers that have together received 376 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Dietary Effects on Health (1 paper), Carbon and Quantum Dots Applications (1 paper), Graphene and Nanomaterials Applications (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Neurology (83 citations), Biological Psychiatry (21 citations), Developmental Neuroscience (21 citations), Neurology (76 citations) and Physical Therapy, Sports Therapy and Rehabilitation (21 citations). Zhenfa Fu has collaborated with scholars based in China and United States. Frequent co-authors include Weidong Le, Xiaojiao Xu, Song Li, Feng Zhang, Rujia Zhong, Huaibin Cai, Cheng Cheng, Zhi‐Li Huang, Ren-Fei Wang and Tianxiao Wang. Their work appears in journals such as Signal Transduction and Targeted Therapy, Journal of Biomedical Nanotechnology, International review of neurobiology, Heliyon and CNS Neuroscience & Therapeutics.
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.