Fu‐Dong Shi
- Neurology top 0.05%
- Neuroinflammation and Neurodegeneration Mechanisms 61
- Peripheral Neuropathies and Disorders 56
- Myasthenia Gravis and Thymoma 37
- Intracerebral and Subarachnoid Hemorrhage Research 23
- Immunology top 0.2%
- T-cell and B-cell Immunology 49
- Immune Cell Function and Interaction 46
- Neurology top 0.2%
- Neuroinflammation and Neurodegeneration Mechanisms 61
- Peripheral Neuropathies and Disorders 56
- Myasthenia Gravis and Thymoma 37
- Intracerebral and Subarachnoid Hemorrhage Research 23
- Developmental Neuroscience top 0.5%
- Biological Psychiatry top 1%
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- Multiple Sclerosis Research Studies 75
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- Acute Ischemic Stroke Management 26
- Co-authors
- Qiang LiuAntonio La CavaKaibin ShiHans‐Gustaf LjunggrenLuc Van KaerJunwei HaoDe‐Cai TianZhiguo Li
- Cited by
- NeurologyImmunology
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Fu‐Dong Shi
292 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Neurology 3.6k
- Immunology 4.5k
- Neurology 3.0k
- Developmental Neuroscience 534
- Biological Psychiatry 314
Countries citing papers authored by Fu‐Dong Shi
This map shows the geographic impact of Fu‐Dong Shi'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 Fu‐Dong Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fu‐Dong Shi more than expected).
Fields of papers citing papers by Fu‐Dong Shi
This network shows the impact of papers produced by Fu‐Dong Shi. 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 Fu‐Dong Shi. The network helps show where Fu‐Dong Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fu‐Dong Shi, 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 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 4 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 8 | |
| 13 | Efficacy and Safety of Remimazolam Tosilate versus Propofol for General Anesthesia in Cirrhotic Patients Undergoing Endoscopic Variceal Ligation | 2022 | 54 |
| 14 | 2022 | 13 | |
| 15 | 2021 | 2 | |
| 16 | Study on nutrition fresh noodles formulated with pomelo peel and peach gum. | 2017 | 4 |
| 17 | 2010 | 179 | |
| 18 | Resting Metabolic Rate and Body Mass Change of Silurus meridionalis to Exhaustive Exercise Training and Fasting | 2007 | 1 |
| 19 | EFFECT OF DIETARY CARBOHYDRATE LEVELS ON GROWTH PERFORMANCE IN SILURUS MERIDIONALIS CHEN | 2005 | 6 |
| 20 | 2001 | 145 |
About Fu‐Dong Shi
Fu‐Dong Shi is a scholar working on Neurology, Neurology and Immunology, having authored 311 papers that have together received 12.5k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (75 papers), Neuroinflammation and Neurodegeneration Mechanisms (61 papers), Peripheral Neuropathies and Disorders (56 papers), T-cell and B-cell Immunology (49 papers), Immune Cell Function and Interaction (46 papers), Myasthenia Gravis and Thymoma (37 papers), Acute Ischemic Stroke Management (26 papers) and Intracerebral and Subarachnoid Hemorrhage Research (23 papers). The work is most often cited by research in Neurology (3.6k citations), Immunology (4.5k citations) and Neurology (3.0k citations). Fu‐Dong Shi has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Qiang Liu, Antonio La Cava, Kaibin Shi, Hans‐Gustaf Ljunggren, Luc Van Kaer, Junwei Hao, De‐Cai Tian, Zhiguo Li, Ruolan Liu and Ying Fu. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.