Can Chang
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Ion channel regulation and function 2
- Signaling Pathways in Disease 2
- Polyamine Metabolism and Applications 1
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- Nerve injury and regeneration 3
- Co-authors
- Marisela Morales (4 shared papers)Yue Wang (3 shared papers)Barry J. Hoffer (4 shared papers)Yung‐Hsiao Chiang (2 shared papers)Marie Thérèse Hosey (2 shared papers)Luis M. Gutiérrez (2 shared papers)J. A. Hoffer (1 shared paper)Cesar V. Borlongan (1 shared paper)
- Journals
- Experimental Neurology (3 papers)Journal of Biochemical and Molecular Toxicology (1 paper)Ecotoxicology and Environmental Safety (1 paper)Computer Methods and Programs in Biomedicine (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Can Chang
12 papers receiving 423 citations
Peers
Comparison fields: 5 of 82
- Developmental Neuroscience 90
- Neurology 79
- Cellular and Molecular Neuroscience 150
- Genetics 36
- Molecular Biology 189
Countries citing papers authored by Can Chang
This map shows the geographic impact of Can 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 Can Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Chang more than expected).
Fields of papers citing papers by Can Chang
This network shows the impact of papers produced by Can 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 Can Chang. The network helps show where Can Chang may publish in the future.
Co-authors
The 21 scholars most cited alongside Can 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
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 88 | |
| 2 | 1991 | 73 | |
| 3 | 2000 | 66 | |
| 4 | 2003 | 58 | |
| 5 | 2002 | 45 | |
| 6 | 1994 | 28 | |
| 7 | 2001 | 26 | |
| 8 | 2014 | 21 | |
| 9 | 2018 | 18 | |
| 10 | 2020 | 13 | |
| 11 | 2024 | 4 | |
| 12 | 2022 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2022 | 0 |
About Can Chang
Can Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Neurology and Developmental Neuroscience, having authored 14 papers that have together received 443 indexed citations. Recurring topics across this work include Nerve injury and regeneration (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Ion channel regulation and function (2 papers), Signaling Pathways in Disease (2 papers), Polyamine Metabolism and Applications (1 paper), Plant Micronutrient Interactions and Effects (1 paper), Fetal and Pediatric Neurological Disorders (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Developmental Neuroscience (90 citations), Neurology (79 citations), Cellular and Molecular Neuroscience (150 citations), Genetics (36 citations) and Molecular Biology (189 citations). Can Chang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Marisela Morales, Yue Wang, Barry J. Hoffer, Yung‐Hsiao Chiang, Marie Thérèse Hosey, Luis M. Gutiérrez, J. A. Hoffer, Cesar V. Borlongan, Jenny Chou and Xiaodi Zhao. Their work appears in journals such as Experimental Neurology, Journal of Biochemical and Molecular Toxicology, Ecotoxicology and Environmental Safety, Computer Methods and Programs in Biomedicine and Biochemical and Biophysical Research Communications.
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.