Hanhui Fu
Impact in
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
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- Neurogenetic and Muscular Disorders Research
- Glioma Diagnosis and Treatment
Papers in
-
- Amyotrophic Lateral Sclerosis Research 8
- Parkinson's Disease Mechanisms and Treatments 1
- Genetics 5
- Neurogenetic and Muscular Disorders Research 3
- Glioma Diagnosis and Treatment 2
- Co-authors
- Mingsheng Liu (9 shared papers)Liying Cui (8 shared papers)Bing Xing (3 shared papers)Shuangwu Liu (8 shared papers)Hongfei Tai (8 shared papers)Xiaopeng Guo (3 shared papers)Dongchao Shen (8 shared papers)Qingyun Ding (5 shared papers)
- Journals
- Neurobiology of Aging (3 papers)Frontiers in Neurology (2 papers)Neurological Sciences (2 papers)International Journal of Molecular Sciences (1 paper)Journal of Neurology Neurosurgery & Psychiatry (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Hanhui Fu
17 papers receiving 297 citations
Peers
Comparison fields: 5 of 52
- Neurology 118
- Genetics 62
- Endocrinology, Diabetes and Metabolism 58
- Neurology 26
- Cellular and Molecular Neuroscience 24
Countries citing papers authored by Hanhui Fu
This map shows the geographic impact of Hanhui 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 Hanhui Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanhui Fu more than expected).
Fields of papers citing papers by Hanhui Fu
This network shows the impact of papers produced by Hanhui 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 Hanhui Fu. The network helps show where Hanhui Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanhui 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 | 2016 | 62 | |
| 2 | 2018 | 46 | |
| 3 | 2018 | 32 | |
| 4 | 2020 | 26 | |
| 5 | 2016 | 25 | |
| 6 | 2018 | 24 | |
| 7 | 2018 | 18 | |
| 8 | 2017 | 15 | |
| 9 | 2017 | 13 | |
| 10 | 2018 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2018 | 9 | |
| 13 | 2018 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2018 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Hanhui Fu
Hanhui Fu is a scholar working on Neurology, Genetics, Endocrinology, Diabetes and Metabolism, Developmental Neuroscience and Surgery, having authored 19 papers that have together received 302 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (8 papers), Neurogenetic and Muscular Disorders Research (3 papers), Lipoproteins and Cardiovascular Health (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Glioma Diagnosis and Treatment (2 papers), RNA Research and Splicing (2 papers), Restless Legs Syndrome Research (1 paper) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Neurology (118 citations), Genetics (62 citations), Endocrinology, Diabetes and Metabolism (58 citations), Neurology (26 citations) and Cellular and Molecular Neuroscience (24 citations). Hanhui Fu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Mingsheng Liu, Liying Cui, Bing Xing, Shuangwu Liu, Hongfei Tai, Xiaopeng Guo, Dongchao Shen, Qingyun Ding, Kang Zhang and Zhili Wang. Their work appears in journals such as Neurobiology of Aging, Frontiers in Neurology, Neurological Sciences, International Journal of Molecular Sciences and Journal of Neurology Neurosurgery & Psychiatry.
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.