Fengna Chu
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Protein Tyrosine Phosphatases 2
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- Alzheimer's disease research and treatments 6
- Co-authors
- Jie Zhu (19 shared papers)Mingchao Shi (12 shared papers)Donghui Shen (7 shared papers)Li Cui (6 shared papers)Chao Zheng (6 shared papers)Feiqi Zhu (4 shared papers)Tao Jin (6 shared papers)Xiangyu Zheng (3 shared papers)
In The Last Decade
Fengna Chu
28 papers receiving 947 citations
Fengna Chu's Hit Papers
Peers
Comparison fields: 5 of 92
- Biological Psychiatry 119
- Neurology 237
- Developmental Neuroscience 47
- Immunology 232
- Physiology 255
Countries citing papers authored by Fengna Chu
This map shows the geographic impact of Fengna Chu'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 Fengna Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengna Chu more than expected).
Fields of papers citing papers by Fengna Chu
This network shows the impact of papers produced by Fengna Chu. 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 Fengna Chu. The network helps show where Fengna Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengna Chu, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 241 | |
| 2 | Impact of Anti-amyloid-β Monoclonal Antibodies on the Pathology and Clinical Profile of Alzheimer’s Disease: A Focus on Aducanumab and Lecanemab Hit paper breakdown → | 2022 | 184 |
| 3 | 2018 | 114 | |
| 4 | 2020 | 98 | |
| 5 | 2018 | 58 | |
| 6 | 2020 | 43 | |
| 7 | 2018 | 30 | |
| 8 | 2024 | 26 | |
| 9 | 2022 | 24 | |
| 10 | 2021 | 21 | |
| 11 | 2021 | 19 | |
| 12 | 2018 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2013 | 5 |
About Fengna Chu
Fengna Chu is a scholar working on Molecular Biology, Physiology, Immunology, Neurology and Biological Psychiatry, having authored 28 papers that have together received 959 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Tryptophan and brain disorders (6 papers), Peripheral Neuropathies and Disorders (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Immune Response and Inflammation (4 papers), Multiple Sclerosis Research Studies (4 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Protein Tyrosine Phosphatases (2 papers). The work is most often cited by research in Biological Psychiatry (119 citations), Neurology (237 citations), Developmental Neuroscience (47 citations), Immunology (232 citations) and Physiology (255 citations). Fengna Chu has collaborated with scholars based in China, Sweden and Mexico. Frequent co-authors include Jie Zhu, Mingchao Shi, Donghui Shen, Li Cui, Chao Zheng, Feiqi Zhu, Tao Jin, Xiangyu Zheng, Yue Lang and Jingtao Chen. Their work appears in journals such as Clinical & Experimental Immunology, Frontiers in Aging Neuroscience, Autoimmunity Reviews, Experimental Neurology and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.
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.