Chun-Hung Chang
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies
- Neurological disorders and treatments
Papers in
- Neurology 12
- Transcranial Magnetic Stimulation Studies 10
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- Amino Acid Enzymes and Metabolism 5
- Co-authors
- Chieh‐Hsin Lin (9 shared papers)Hsien‐Yuan Lane (7 shared papers)Shaw-Ji Chen (17 shared papers)Chieh‐Yu Liu (16 shared papers)Hsien‐Yuan Lane (2 shared papers)Hsin‐Chi Tsai (12 shared papers)Ping‐Tao Tseng (5 shared papers)I‐Chen Tsai (3 shared papers)
- Journals
- Frontiers in Psychiatry (7 papers)Journal of Psychopharmacology (3 papers)Medicine (3 papers)PLoS ONE (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chun-Hung Chang
44 papers receiving 909 citations
Peers
Comparison fields: 5 of 112
- Biological Psychiatry 105
- Neurology 141
- Biochemistry 58
- Health Informatics 10
- Psychiatry and Mental health 93
Countries citing papers authored by Chun-Hung Chang
This map shows the geographic impact of Chun-Hung 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 Chun-Hung Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Hung Chang more than expected).
Fields of papers citing papers by Chun-Hung Chang
This network shows the impact of papers produced by Chun-Hung 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 Chun-Hung Chang. The network helps show where Chun-Hung Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun-Hung 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 162 | |
| 2 | 2021 | 151 | |
| 3 | 2018 | 116 | |
| 4 | 2019 | 36 | |
| 5 | 2021 | 33 | |
| 6 | 2021 | 32 | |
| 7 | 2018 | 28 | |
| 8 | 2020 | 28 | |
| 9 | 2009 | 28 | |
| 10 | 2022 | 26 | |
| 11 | 2012 | 23 | |
| 12 | 2015 | 19 | |
| 13 | 2017 | 19 | |
| 14 | 2015 | 19 | |
| 15 | 2020 | 16 | |
| 16 | 2016 | 16 | |
| 17 | 2014 | 14 | |
| 18 | 2024 | 11 | |
| 19 | 2019 | 10 | |
| 20 | 2007 | 10 |
About Chun-Hung Chang
Chun-Hung Chang is a scholar working on Neurology, Biochemistry, Neurology, Physiology and Psychiatry and Mental health, having authored 49 papers that have together received 923 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (10 papers), Amino Acid Enzymes and Metabolism (5 papers), Obsessive-Compulsive Spectrum Disorders (3 papers), Tryptophan and brain disorders (3 papers), Alzheimer's disease research and treatments (2 papers), Menstrual Health and Disorders (2 papers), Cancer-related cognitive impairment studies (2 papers) and Dermatologic Treatments and Research (2 papers). The work is most often cited by research in Biological Psychiatry (105 citations), Neurology (141 citations), Biochemistry (58 citations), Health Informatics (10 citations) and Psychiatry and Mental health (93 citations). Chun-Hung Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chieh‐Hsin Lin, Hsien‐Yuan Lane, Shaw-Ji Chen, Chieh‐Yu Liu, Hsien‐Yuan Lane, Hsin‐Chi Tsai, Ping‐Tao Tseng, I‐Chen Tsai, Chih‐Wei Hsu and Ke‐Vin Chang. Their work appears in journals such as Frontiers in Psychiatry, Journal of Psychopharmacology, Medicine, PLoS ONE and International Journal of Molecular Sciences.
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.