Ting Chang
Impact in
- Neurology top 5%
- Myasthenia Gravis and Thymoma
- Peripheral Neuropathies and Disorders
- Neuroinflammation and Neurodegeneration Mechanisms
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
Papers in
- Neurology 39
- Myasthenia Gravis and Thymoma 35
- Peripheral Neuropathies and Disorders 2
- Neurological Disorders and Treatments 1
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- Multiple Sclerosis Research Studies 7
- Co-authors
- Zhuyi Li (22 shared papers)Yan Xia (2 shared papers)Heng‐Yu Fan (2 shared papers)Zhe Ruan (28 shared papers)Gang Wang (2 shared papers)Jiaji Lin (7 shared papers)Chao Sun (11 shared papers)Wenhui Li (1 shared paper)
- Journals
- Frontiers in Immunology (6 papers)CNS Neuroscience & Therapeutics (3 papers)Frontiers in Neurology (3 papers)Neuromuscular Disorders (2 papers)Molecular Neurobiology (2 papers)
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Ting Chang
58 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 64
- Neurology 375
- Cell Biology 123
- Immunology 129
- Pathology and Forensic Medicine 82
- Neurology 25
Countries citing papers authored by Ting Chang
This map shows the geographic impact of Ting Chang'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 Ting Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Chang more than expected).
Fields of papers citing papers by Ting Chang
This network shows the impact of papers produced by Ting Chang. 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 Ting Chang. The network helps show where Ting Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Chang, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 145 | |
| 2 | 2011 | 136 | |
| 3 | 2022 | 127 | |
| 4 | 2014 | 72 | |
| 5 | 2015 | 70 | |
| 6 | 2024 | 58 | |
| 7 | 2014 | 54 | |
| 8 | 2017 | 49 | |
| 9 | 2021 | 45 | |
| 10 | 2015 | 40 | |
| 11 | 2015 | 38 | |
| 12 | 2011 | 37 | |
| 13 | 2024 | 31 | |
| 14 | 2013 | 24 | |
| 15 | 2018 | 24 | |
| 16 | 2023 | 23 | |
| 17 | 2018 | 22 | |
| 18 | 2020 | 22 | |
| 19 | 2019 | 21 | |
| 20 | 2020 | 20 |
About Ting Chang
Ting Chang is a scholar working on Neurology, Pathology and Forensic Medicine, Genetics, Cell Biology and Immunology, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (35 papers), Multiple Sclerosis Research Studies (7 papers), Glioma Diagnosis and Treatment (4 papers), Peripheral Neuropathies and Disorders (2 papers), Pain Mechanisms and Treatments (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Neurological Disorders and Treatments (1 paper). The work is most often cited by research in Neurology (375 citations), Cell Biology (123 citations), Immunology (129 citations), Pathology and Forensic Medicine (82 citations) and Neurology (25 citations). Ting Chang has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Zhuyi Li, Yan Xia, Heng‐Yu Fan, Zhe Ruan, Gang Wang, Jiaji Lin, Chao Sun, Wenhui Li, Yixiong Liu and Yufeng Liu. Their work appears in journals such as Frontiers in Immunology, CNS Neuroscience & Therapeutics, Frontiers in Neurology, Neuromuscular Disorders and Molecular Neurobiology.
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.