Ying Fu
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Intracerebral and Subarachnoid Hemorrhage Research
- Peripheral Neuropathies and Disorders
- Nephrology top 2%
- Acute Kidney Injury Research
Papers in
- Neurology 16
- Peripheral Neuropathies and Disorders 7
- Neurological diseases and metabolism 7
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Intracerebral and Subarachnoid Hemorrhage Research 7
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- Multiple Sclerosis Research Studies 16
- Co-authors
- Fu‐Dong ShiZheng DongYaping YanPeter J. SadlerChengyuan TangFung‐Lung ChungYujing LiDeRen Huang
- Journals
- Frontiers in Neurology (4 papers)European Journal of Neurology (4 papers)Journal of Neurology (3 papers)Neuroscience Bulletin (3 papers)American Journal of Physiology-Renal Physiology (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ying Fu
114 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 134
- Neurology 339
- Neurology 517
- Nephrology 215
- Pathology and Forensic Medicine 496
- Oncology 560
Countries citing papers authored by Ying Fu
This map shows the geographic impact of Ying 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 Ying Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Fu more than expected).
Fields of papers citing papers by Ying Fu
This network shows the impact of papers produced by Ying 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 Ying Fu. The network helps show where Ying Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 21 | |
| 9 | 2022 | 74 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 6 | |
| 12 | Regulatory effect of lncRNA NKILA on autophagy induced by sepsis kidney injury | 2020 | 1 |
| 13 | 2019 | 8 | |
| 14 | 2019 | 1 | |
| 15 | 2019 | 9 | |
| 16 | 2018 | 10 | |
| 17 | 2017 | 1 | |
| 18 | 2016 | 20 | |
| 19 | 2015 | 1 | |
| 20 | 2015 | 38 |
About Ying Fu
Ying Fu is a scholar working on Neurology, Neurology, Pathology and Forensic Medicine, Nephrology and Cancer Research, having authored 120 papers that have together received 3.0k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (16 papers), Hereditary Neurological Disorders (8 papers), Genomics, phytochemicals, and oxidative stress (7 papers), Peripheral Neuropathies and Disorders (7 papers), Neurological diseases and metabolism (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Intracerebral and Subarachnoid Hemorrhage Research (7 papers) and Sphingolipid Metabolism and Signaling (6 papers). The work is most often cited by research in Neurology (339 citations), Neurology (517 citations), Nephrology (215 citations), Pathology and Forensic Medicine (496 citations) and Oncology (560 citations). Ying Fu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fu‐Dong Shi, Zheng Dong, Yaping Yan, Peter J. Sadler, Chengyuan Tang, Fung‐Lung Chung, Yujing Li, DeRen Huang, Mitchell Ho and Juan Cai. Their work appears in journals such as Frontiers in Neurology, European Journal of Neurology, Journal of Neurology, Neuroscience Bulletin and American Journal of Physiology-Renal Physiology.
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.