Fangda Leng
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
Papers in
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- Alzheimer's disease research and treatments 3
-
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Paul Edison (4 shared papers)Melanie Dani (2 shared papers)Rainer Hinz (2 shared papers)Steve Gentleman (2 shared papers)David J. Brooks (2 shared papers)Adam Hampshire (1 shared paper)Haiqiang Jin (3 shared papers)Feng Gao (1 shared paper)
- Journals
- Frontiers in Aging Neuroscience (2 papers)Alzheimer s & Dementia (2 papers)Molecular Psychiatry (1 paper)Frontiers in Neurology (1 paper)Nature Reviews Neurology (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Fangda Leng
9 papers receiving 2.3k citations
Fangda Leng's Hit Papers
Peers
Comparison fields: 5 of 101
- Biological Psychiatry 345
- Neurology 854
- Physiology 823
- Developmental Neuroscience 73
- Pharmacology 210
Countries citing papers authored by Fangda Leng
This map shows the geographic impact of Fangda Leng'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 Fangda Leng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangda Leng more than expected).
Fields of papers citing papers by Fangda Leng
This network shows the impact of papers produced by Fangda Leng. 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 Fangda Leng. The network helps show where Fangda Leng may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangda Leng, 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 | Neuroinflammation and microglial activation in Alzheimer disease: where do we go from here? Hit paper breakdown → | 2020 | 2186 |
| 2 | 2022 | 73 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 6 | |
| 5 | 2018 | 3 | |
| 6 | 2025 | 2 | |
| 7 | 2025 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 0 |
About Fangda Leng
Fangda Leng is a scholar working on Physiology, Neurology, General Health Professions, Biological Psychiatry and Sociology and Political Science, having authored 10 papers that have together received 2.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Tryptophan and brain disorders (1 paper), Aging, Elder Care, and Social Issues (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper), Dementia and Cognitive Impairment Research (1 paper), Intergenerational Family Dynamics and Caregiving (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Biological Psychiatry (345 citations), Neurology (854 citations), Physiology (823 citations), Developmental Neuroscience (73 citations) and Pharmacology (210 citations). Fangda Leng has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Paul Edison, Melanie Dani, Rainer Hinz, Steve Gentleman, David J. Brooks, Adam Hampshire, Haiqiang Jin, Feng Gao, Huali Wang and Qi Xiong. Their work appears in journals such as Frontiers in Aging Neuroscience, Alzheimer s & Dementia, Molecular Psychiatry, Frontiers in Neurology and Nature Reviews Neurology.
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.