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
-
- Circular RNAs in diseases 9
- Neurology 14
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Neurological Disease Mechanisms and Treatments 5
- Co-authors
- Lei Zuo (12 shared papers)Qiwen Deng (12 shared papers)Zhijun Zhang (3 shared papers)Fengdi Zhao (1 shared paper)Ying Zheng (1 shared paper)Zhengtian Gu (4 shared papers)Hanqing Zhang (4 shared papers)Honghong Yao (2 shared papers)
- Journals
- Journal of Neuroinflammation (3 papers)Frontiers in Neurology (3 papers)European Journal of Neurology (3 papers)Neurochemical Research (1 paper)Journal of Ethnopharmacology (1 paper)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Fuling Yan
37 papers receiving 818 citations
Peers
Comparison fields: 5 of 96
- Neurology 235
- Cancer Research 243
- Biological Psychiatry 35
- Neurology 84
- Molecular Biology 360
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 117 | |
| 2 | 2022 | 54 | |
| 3 | 2008 | 53 | |
| 4 | 2018 | 44 | |
| 5 | 2016 | 42 | |
| 6 | 2018 | 42 | |
| 7 | 2022 | 40 | |
| 8 | 2023 | 39 | |
| 9 | 2016 | 37 | |
| 10 | 2016 | 30 | |
| 11 | 2021 | 29 | |
| 12 | 2009 | 28 | |
| 13 | 2018 | 22 | |
| 14 | 2023 | 21 | |
| 15 | 2016 | 21 | |
| 16 | 2023 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 2018 | 18 | |
| 19 | 2020 | 18 | |
| 20 | 2022 | 17 |
About Fuling Yan
Fuling Yan is a scholar working on Molecular Biology, Neurology, Epidemiology, Cancer Research and Surgery, having authored 38 papers that have together received 824 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Acute Ischemic Stroke Management (9 papers), Circular RNAs in diseases (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Cancer-related molecular mechanisms research (6 papers), Neurological Disease Mechanisms and Treatments (5 papers), Tryptophan and brain disorders (3 papers) and Stroke Rehabilitation and Recovery (3 papers). The work is most often cited by research in Neurology (235 citations), Cancer Research (243 citations), Biological Psychiatry (35 citations), Neurology (84 citations) and Molecular Biology (360 citations). Fuling Yan has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Lei Zuo, Qiwen Deng, Zhijun Zhang, Fengdi Zhao, Ying Zheng, Zhengtian Gu, Hanqing Zhang, Honghong Yao, Huiling Sun and Shuo Li. Their work appears in journals such as Journal of Neuroinflammation, Frontiers in Neurology, European Journal of Neurology, Neurochemical Research and Journal of Ethnopharmacology.
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.