Chi‐Fa Hung
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
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- Schizophrenia research and treatment 17
-
- Family Caregiving in Mental Illness 7
- Co-authors
- Pao‐Yen Lin (37 shared papers)Yu‐Chi Huang (28 shared papers)Liang‐Jen Wang (39 shared papers)Mian‐Yoon Chong (20 shared papers)Yu Lee (29 shared papers)Nien‐Mu Chiu (8 shared papers)Su‐Ting Hsu (11 shared papers)Ping‐Tao Tseng (5 shared papers)
- Journals
- Asia-Pacific Psychiatry (2 papers)Frontiers in Psychiatry (2 papers)International Journal of Environmental Research and Public Health (2 papers)Psychiatry Research (2 papers)Psychoneuroendocrinology (2 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Chi‐Fa Hung
62 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Biological Psychiatry 122
- Aging 63
- Psychiatry and Mental health 325
- Behavioral Neuroscience 49
- Endocrine and Autonomic Systems 83
Countries citing papers authored by Chi‐Fa Hung
This map shows the geographic impact of Chi‐Fa Hung'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 Chi‐Fa Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi‐Fa Hung more than expected).
Fields of papers citing papers by Chi‐Fa Hung
This network shows the impact of papers produced by Chi‐Fa Hung. 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 Chi‐Fa Hung. The network helps show where Chi‐Fa Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi‐Fa Hung, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 87 | |
| 2 | 2016 | 64 | |
| 3 | 2014 | 64 | |
| 4 | 2019 | 51 | |
| 5 | 2018 | 49 | |
| 6 | 2019 | 45 | |
| 7 | 2014 | 36 | |
| 8 | 2005 | 30 | |
| 9 | 2011 | 30 | |
| 10 | 2016 | 30 | |
| 11 | 2020 | 28 | |
| 12 | 2022 | 27 | |
| 13 | 2016 | 26 | |
| 14 | 2021 | 24 | |
| 15 | 2017 | 21 | |
| 16 | 2011 | 21 | |
| 17 | 2021 | 20 | |
| 18 | 2016 | 20 | |
| 19 | 2008 | 20 | |
| 20 | 2011 | 20 |
About Chi‐Fa Hung
Chi‐Fa Hung is a scholar working on Psychiatry and Mental health, Clinical Psychology, Social Psychology, Neurology and Biological Psychiatry, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (17 papers), Tryptophan and brain disorders (8 papers), Family Support in Illness (7 papers), Family Caregiving in Mental Illness (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Mental Health Treatment and Access (6 papers), Cancer survivorship and care (6 papers) and Functional Brain Connectivity Studies (6 papers). The work is most often cited by research in Biological Psychiatry (122 citations), Aging (63 citations), Psychiatry and Mental health (325 citations), Behavioral Neuroscience (49 citations) and Endocrine and Autonomic Systems (83 citations). Chi‐Fa Hung has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Pao‐Yen Lin, Yu‐Chi Huang, Liang‐Jen Wang, Mian‐Yoon Chong, Yu Lee, Nien‐Mu Chiu, Su‐Ting Hsu, Ping‐Tao Tseng, Chih‐Yen Chien and Fu‐Min Fang. Their work appears in journals such as Asia-Pacific Psychiatry, Frontiers in Psychiatry, International Journal of Environmental Research and Public Health, Psychiatry Research and Psychoneuroendocrinology.
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.