Dongning Su
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Botulinum Toxin and Related Neurological Disorders
Papers in
-
- Parkinson's Disease Mechanisms and Treatments 4
- Neurological disorders and treatments 3
- Neurological diseases and metabolism 1
- Co-authors
- Tao Feng (7 shared papers)Yusha Cui (5 shared papers)Rui Yan (3 shared papers)Jinqiao Zhu (2 shared papers)Dong Zhao (2 shared papers)Anxin Wang (2 shared papers)Junjiao Zhang (6 shared papers)Joyce S. T. Lam (3 shared papers)
- Journals
- The Lancet Healthy Longevity (1 paper)CNS Neuroscience & Therapeutics (1 paper)BMJ (1 paper)Frontiers in Neurology (1 paper)EClinicalMedicine (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Dongning Su
8 papers receiving 303 citations
Dongning Su's Hit Papers
Peers
Comparison fields: 5 of 65
- Neurology 131
- Biological Psychiatry 6
- Neurology 19
- Cellular and Molecular Neuroscience 35
- Physical Therapy, Sports Therapy and Rehabilitation 7
Countries citing papers authored by Dongning Su
This map shows the geographic impact of Dongning Su'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 Dongning Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongning Su more than expected).
Fields of papers citing papers by Dongning Su
This network shows the impact of papers produced by Dongning Su. 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 Dongning Su. The network helps show where Dongning Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongning Su, 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 | Projections for prevalence of Parkinson’s disease and its driving factors in 195 countries and territories to 2050: modelling study of Global Burden of Disease Study 2021 Hit paper breakdown → | 2025 | 132 |
| 2 | Temporal trends in the prevalence of Parkinson's disease from 1980 to 2023: a systematic review and meta-analysis Hit paper breakdown → | 2024 | 117 |
| 3 | 2023 | 20 | |
| 4 | 2023 | 16 | |
| 5 | 2024 | 11 | |
| 6 | 2025 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2025 | 0 |
About Dongning Su
Dongning Su is a scholar working on Neurology, Neurology, Infectious Diseases, Organic Chemistry and Surgery, having authored 9 papers that have together received 303 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (4 papers), Neurological disorders and treatments (3 papers) and Neurological diseases and metabolism (1 paper). The work is most often cited by research in Neurology (131 citations), Biological Psychiatry (6 citations), Neurology (19 citations), Cellular and Molecular Neuroscience (35 citations) and Physical Therapy, Sports Therapy and Rehabilitation (7 citations). Dongning Su has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Tao Feng, Yusha Cui, Rui Yan, Jinqiao Zhu, Dong Zhao, Anxin Wang, Junjiao Zhang, Joyce S. T. Lam, Maigeng Zhou and Peng Yin. Their work appears in journals such as The Lancet Healthy Longevity, CNS Neuroscience & Therapeutics, BMJ, Frontiers in Neurology and EClinicalMedicine.
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.