Dehao Yang
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Myasthenia Gravis and Thymoma
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Neurology 17
- Parkinson's Disease Mechanisms and Treatments 9
- Myasthenia Gravis and Thymoma 5
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- Genetic Neurodegenerative Diseases 3
- Cerebrospinal fluid and hydrocephalus 2
- Co-authors
- Yiyun Weng (15 shared papers)Guangyong Chen (16 shared papers)Wei Feng Luo (18 shared papers)Zhidong Cen (19 shared papers)Xiang Li (4 shared papers)Tian Shu Zeng (7 shared papers)Haotian Wang (13 shared papers)Xu Zhang (3 shared papers)
- Journals
- Movement Disorders (6 papers)Parkinsonism & Related Disorders (4 papers)npj Parkinson s Disease (3 papers)Journal of Neurology (2 papers)Journal of Inflammation Research (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Dehao Yang
44 papers receiving 524 citations
Peers
Comparison fields: 5 of 75
- Neurology 142
- Neurology 34
- Developmental Neuroscience 16
- Parasitology 25
- Genetics 38
Countries citing papers authored by Dehao Yang
This map shows the geographic impact of Dehao Yang'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 Dehao Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dehao Yang more than expected).
Fields of papers citing papers by Dehao Yang
This network shows the impact of papers produced by Dehao Yang. 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 Dehao Yang. The network helps show where Dehao Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dehao Yang, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 35 | |
| 2 | 2015 | 33 | |
| 3 | 2020 | 32 | |
| 4 | 2016 | 30 | |
| 5 | 2017 | 29 | |
| 6 | 2020 | 28 | |
| 7 | 2019 | 22 | |
| 8 | 2018 | 22 | |
| 9 | 2017 | 21 | |
| 10 | 2019 | 18 | |
| 11 | 2016 | 17 | |
| 12 | 2021 | 17 | |
| 13 | 2011 | 17 | |
| 14 | 2013 | 16 | |
| 15 | 2022 | 14 | |
| 16 | 2025 | 14 | |
| 17 | 2018 | 13 | |
| 18 | 2023 | 13 | |
| 19 | 2020 | 12 | |
| 20 | 2021 | 11 |
About Dehao Yang
Dehao Yang is a scholar working on Neurology, Cellular and Molecular Neuroscience, Rheumatology, Endocrinology, Diabetes and Metabolism and Parasitology, having authored 52 papers that have together received 530 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (9 papers), Thyroid and Parathyroid Surgery (5 papers), Myasthenia Gravis and Thymoma (5 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Glycogen Storage Diseases and Myoclonus (3 papers), Genetic Neurodegenerative Diseases (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers) and Acute Ischemic Stroke Management (2 papers). The work is most often cited by research in Neurology (142 citations), Neurology (34 citations), Developmental Neuroscience (16 citations), Parasitology (25 citations) and Genetics (38 citations). Dehao Yang has collaborated with scholars based in China, United States and France. Frequent co-authors include Yiyun Weng, Guangyong Chen, Wei Feng Luo, Zhidong Cen, Xiang Li, Tian Shu Zeng, Haotian Wang, Xu Zhang, Honghao Huang and Jingyu Hu. Their work appears in journals such as Movement Disorders, Parkinsonism & Related Disorders, npj Parkinson s Disease, Journal of Neurology and Journal of Inflammation Research.
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.