Linbo Wang
Impact in
- Physiology top 10%
- Pain Mechanisms and Treatments
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological disorders and treatments
Papers in
- Neurology 13
- Parkinson's Disease Mechanisms and Treatments 9
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- Advanced Causal Inference Techniques 7
- Statistical Methods and Bayesian Inference 6
- Statistical Methods and Inference 5
- Co-authors
- Brian Berman (6 shared papers)Lixing Lao (6 shared papers)Ke Ren (5 shared papers)Bing Liu (4 shared papers)Rui-Xin Zhang (5 shared papers)Wei Cheng (21 shared papers)Jian‐Tian Qiao (4 shared papers)Hong Mā (4 shared papers)
- Journals
- Neurology (4 papers)Biometrika (3 papers)Nature Communications (3 papers)Molecular Psychiatry (2 papers)Alzheimer s & Dementia (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Linbo Wang
66 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 147
- Physiology 343
- Neurology 162
- Neurology 89
- Statistics and Probability 93
- Complementary and alternative medicine 73
Countries citing papers authored by Linbo Wang
This map shows the geographic impact of Linbo Wang'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 Linbo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linbo Wang more than expected).
Fields of papers citing papers by Linbo Wang
This network shows the impact of papers produced by Linbo Wang. 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 Linbo Wang. The network helps show where Linbo Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Linbo Wang, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 172 | |
| 2 | 2007 | 164 | |
| 3 | 2018 | 102 | |
| 4 | 2018 | 81 | |
| 5 | 2023 | 76 | |
| 6 | 2022 | 75 | |
| 7 | 2014 | 53 | |
| 8 | 2008 | 46 | |
| 9 | 2015 | 46 | |
| 10 | 2023 | 43 | |
| 11 | 2024 | 37 | |
| 12 | 2016 | 36 | |
| 13 | 2013 | 30 | |
| 14 | 2020 | 30 | |
| 15 | 2019 | 27 | |
| 16 | 2017 | 25 | |
| 17 | 2024 | 25 | |
| 18 | 2023 | 24 | |
| 19 | 2005 | 23 | |
| 20 | 2023 | 23 |
About Linbo Wang
Linbo Wang is a scholar working on Neurology, Statistics and Probability, Physiology, Psychiatry and Mental health and Biophysics, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (9 papers), Advanced Causal Inference Techniques (7 papers), Statistical Methods and Bayesian Inference (6 papers), Dementia and Cognitive Impairment Research (5 papers), Pain Mechanisms and Treatments (5 papers), Alzheimer's disease research and treatments (5 papers), Statistical Methods and Inference (5 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). The work is most often cited by research in Physiology (343 citations), Neurology (162 citations), Neurology (89 citations), Statistics and Probability (93 citations) and Complementary and alternative medicine (73 citations). Linbo Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Brian Berman, Lixing Lao, Ke Ren, Bing Liu, Rui-Xin Zhang, Wei Cheng, Jian‐Tian Qiao, Hong Mā, Aihui Li and Thomas S. Richardson. Their work appears in journals such as Neurology, Biometrika, Nature Communications, Molecular Psychiatry and Alzheimer s & Dementia.
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.