Lei Wu
Impact in
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
Papers in
- Neurology 25
- Parkinson's Disease Mechanisms and Treatments 6
- Neurological disorders and treatments 6
- Peripheral Neuropathies and Disorders 3
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- Multiple Sclerosis Research Studies 24
- Co-authors
- Dehui Huang (24 shared papers)Shengyuan Yu (13 shared papers)Tiantai Zhang (7 shared papers)Chengjuan Chen (7 shared papers)Gaona Shi (6 shared papers)Yilin Tang (4 shared papers)Feng-tao Liu (2 shared papers)Mianwang He (7 shared papers)
- Journals
- Multiple Sclerosis and Related Disorders (5 papers)Journal of Neuroimmunology (3 papers)Frontiers in Neurology (3 papers)Journal of the Neurological Sciences (3 papers)Neurocritical Care (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lei Wu
78 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Clinical Biochemistry 81
- Neurology 203
- Pathology and Forensic Medicine 204
- Neurology 66
- Cancer Research 97
Countries citing papers authored by Lei Wu
This map shows the geographic impact of Lei Wu'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 Lei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Wu more than expected).
Fields of papers citing papers by Lei Wu
This network shows the impact of papers produced by Lei Wu. 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 Lei Wu. The network helps show where Lei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Wu, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 133 | |
| 2 | 2017 | 107 | |
| 3 | 2018 | 58 | |
| 4 | 2016 | 53 | |
| 5 | 2021 | 53 | |
| 6 | 2018 | 47 | |
| 7 | 2015 | 38 | |
| 8 | 2018 | 38 | |
| 9 | 2022 | 35 | |
| 10 | 2009 | 29 | |
| 11 | 2018 | 29 | |
| 12 | 2023 | 27 | |
| 13 | 2012 | 26 | |
| 14 | 2010 | 24 | |
| 15 | 2020 | 22 | |
| 16 | 2024 | 22 | |
| 17 | 2013 | 21 | |
| 18 | 2019 | 21 | |
| 19 | 2014 | 20 | |
| 20 | 2016 | 18 |
About Lei Wu
Lei Wu is a scholar working on Neurology, Pathology and Forensic Medicine, Psychiatry and Mental health, Neurology and Cancer Research, having authored 88 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (24 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Neurological disorders and treatments (6 papers), Dementia and Cognitive Impairment Research (3 papers), Peripheral Neuropathies and Disorders (3 papers), Epilepsy research and treatment (3 papers), Alzheimer's disease research and treatments (2 papers) and Vasculitis and related conditions (2 papers). The work is most often cited by research in Clinical Biochemistry (81 citations), Neurology (203 citations), Pathology and Forensic Medicine (204 citations), Neurology (66 citations) and Cancer Research (97 citations). Lei Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dehui Huang, Shengyuan Yu, Tiantai Zhang, Chengjuan Chen, Gaona Shi, Yilin Tang, Feng-tao Liu, Mianwang He, Shuai Shao and Yu Jerry Zhou. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Journal of Neuroimmunology, Frontiers in Neurology, Journal of the Neurological Sciences and Neurocritical Care.
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.