Fuling Yan
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Neurology 12
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Neurological Disease Mechanisms and Treatments 5
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- Circular RNAs in diseases 6
- Co-authors
- Lei Zuo (10 shared papers)Zhijun Zhang (3 shared papers)Fengdi Zhao (1 shared paper)Ying Zheng (1 shared paper)Qiwen Deng (6 shared papers)Zhengtian Gu (4 shared papers)Hanqing Zhang (4 shared papers)Shuo Li (5 shared papers)
- Journals
- Journal of Neuroinflammation (3 papers)European Journal of Neurology (3 papers)Frontiers in Neurology (3 papers)Journal of Neuroimmunology (1 paper)Molecular Neurobiology (1 paper)
- Partner nations
- ChinaBangladeshUnited States
In The Last Decade
Fuling Yan
38 papers receiving 864 citations
Peers
Comparison fields: 5 of 88
- Neurology 195
- Cancer Research 188
- Biological Psychiatry 29
- Molecular Biology 320
- Neurology 63
Countries citing papers authored by Fuling Yan
This map shows the geographic impact of Fuling Yan'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 Fuling Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuling Yan more than expected).
Fields of papers citing papers by Fuling Yan
This network shows the impact of papers produced by Fuling Yan. 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 Fuling Yan. The network helps show where Fuling Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fuling Yan, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 118 | |
| 2 | 2022 | 61 | |
| 3 | 2008 | 54 | |
| 4 | 2023 | 51 | |
| 5 | 2018 | 46 | |
| 6 | 2016 | 44 | |
| 7 | 2018 | 43 | |
| 8 | 2022 | 42 | |
| 9 | 2016 | 37 | |
| 10 | 2016 | 30 | |
| 11 | 2021 | 29 | |
| 12 | 2009 | 28 | |
| 13 | 2023 | 23 | |
| 14 | 2018 | 23 | |
| 15 | 2023 | 22 | |
| 16 | 2016 | 21 | |
| 17 | 2020 | 19 | |
| 18 | 2020 | 19 | |
| 19 | 2018 | 19 | |
| 20 | 2022 | 18 |
About Fuling Yan
Fuling Yan is a scholar working on Neurology, Molecular Biology, Epidemiology, Cancer Research and Physiology, having authored 39 papers that have together received 870 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Circular RNAs in diseases (6 papers), Acute Ischemic Stroke Management (6 papers), Neurological Disease Mechanisms and Treatments (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Stroke Rehabilitation and Recovery (3 papers). The work is most often cited by research in Neurology (195 citations), Cancer Research (188 citations), Biological Psychiatry (29 citations), Molecular Biology (320 citations) and Neurology (63 citations). Fuling Yan has collaborated with scholars based in China, Bangladesh and United States. Frequent co-authors include Lei Zuo, Zhijun Zhang, Fengdi Zhao, Ying Zheng, Qiwen Deng, Zhengtian Gu, Hanqing Zhang, Shuo Li, Huiling Sun and Honghong Yao. Their work appears in journals such as Journal of Neuroinflammation, European Journal of Neurology, Frontiers in Neurology, Journal of Neuroimmunology and Molecular Neurobiology.
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.