Wei‐Ming Su
Impact in
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
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- Neurogenetic and Muscular Disorders Research
- Genetic Associations and Epidemiology
Papers in
- Neurology 15
- Amyotrophic Lateral Sclerosis Research 11
- Parkinson's Disease Mechanisms and Treatments 6
- Neurological diseases and metabolism 4
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- Bioinformatics and Genomic Networks 3
- Co-authors
- Qing‐Qing Duan (18 shared papers)Xiaojing Gu (18 shared papers)Zheng Jiang (9 shared papers)Bei Cao (18 shared papers)Yi Wang (9 shared papers)Yongping Chen (10 shared papers)Huifang Shang (5 shared papers)Yangfan Cheng (2 shared papers)
- Journals
- BMC Medicine (3 papers)Molecular Neurobiology (2 papers)Canadian Respiratory Journal (1 paper)Journal of Parkinson s Disease (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Wei‐Ming Su
22 papers receiving 252 citations
Peers
Comparison fields: 5 of 68
- Neurology 104
- Genetics 61
- Neurology 33
- Biological Psychiatry 7
- Cancer Research 27
Countries citing papers authored by Wei‐Ming Su
This map shows the geographic impact of Wei‐Ming 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 Wei‐Ming Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Ming Su more than expected).
Fields of papers citing papers by Wei‐Ming Su
This network shows the impact of papers produced by Wei‐Ming 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 Wei‐Ming Su. The network helps show where Wei‐Ming Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Ming 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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 70 | |
| 2 | 2021 | 52 | |
| 3 | 2023 | 20 | |
| 4 | 2024 | 17 | |
| 5 | 2024 | 15 | |
| 6 | 2023 | 14 | |
| 7 | 2020 | 11 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 5 | |
| 11 | 2024 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2024 | 1 |
About Wei‐Ming Su
Wei‐Ming Su is a scholar working on Neurology, Molecular Biology, Genetics, Physiology and Genetics, having authored 25 papers that have together received 255 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (11 papers), Neurogenetic and Muscular Disorders Research (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Genetic Associations and Epidemiology (5 papers), Neurological diseases and metabolism (4 papers), Alzheimer's disease research and treatments (3 papers), Nuclear Receptors and Signaling (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Neurology (104 citations), Genetics (61 citations), Neurology (33 citations), Biological Psychiatry (7 citations) and Cancer Research (27 citations). Wei‐Ming Su has collaborated with scholars based in China and United States. Frequent co-authors include Qing‐Qing Duan, Xiaojing Gu, Zheng Jiang, Bei Cao, Yi Wang, Yongping Chen, Huifang Shang, Yangfan Cheng, Tianmi Yang and Xia Gao. Their work appears in journals such as BMC Medicine, Molecular Neurobiology, Canadian Respiratory Journal, Journal of Parkinson s Disease and Frontiers in Neuroscience.
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.