Chung‐Feng Kao
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Psychiatry and Mental health top 10%
- Schizophrenia research and treatment
- Bipolar Disorder and Treatment
Papers in
-
- Peroxisome Proliferator-Activated Receptors 2
- Genetics 4
- Genetic Associations and Epidemiology 3
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Po‐Hsiu Kuo (12 shared papers)Shih‐Jen Tsai (7 shared papers)Eugene Lin (5 shared papers)Yu‐Li Liu (5 shared papers)Albert C. Yang (5 shared papers)Mong‐Liang Lu (5 shared papers)Ming‐Chyi Huang (4 shared papers)Chun-Hsin Chen (4 shared papers)
- Journals
- PLoS ONE (3 papers)Oncotarget (2 papers)Journal of Clinical Psychopharmacology (2 papers)Molecular Biology and Evolution (1 paper)American Journal of Medical Genetics Part B Neuropsychiatric Genetics (1 paper)
- Partner nations
- TaiwanAustraliaUnited States
In The Last Decade
Chung‐Feng Kao
13 papers receiving 351 citations
Peers
Comparison fields: 5 of 62
- Biological Psychiatry 33
- Psychiatry and Mental health 81
- Endocrine and Autonomic Systems 37
- Aging 7
- Genetics 73
Countries citing papers authored by Chung‐Feng Kao
This map shows the geographic impact of Chung‐Feng Kao'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 Chung‐Feng Kao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung‐Feng Kao more than expected).
Fields of papers citing papers by Chung‐Feng Kao
This network shows the impact of papers produced by Chung‐Feng Kao. 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 Chung‐Feng Kao. The network helps show where Chung‐Feng Kao may publish in the future.
Co-authors
The 25 scholars most cited alongside Chung‐Feng Kao, 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 | 2013 | 62 | |
| 2 | 2016 | 47 | |
| 3 | 2015 | 43 | |
| 4 | 2017 | 32 | |
| 5 | 2020 | 30 | |
| 6 | 2017 | 26 | |
| 7 | 2011 | 25 | |
| 8 | 2011 | 24 | |
| 9 | 2017 | 20 | |
| 10 | 2010 | 18 | |
| 11 | 2017 | 16 | |
| 12 | 2015 | 8 | |
| 13 | 2014 | 5 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Chung‐Feng Kao
Chung‐Feng Kao is a scholar working on Molecular Biology, Genetics, Psychiatry and Mental health, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 16 papers that have together received 356 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Circadian rhythm and melatonin (2 papers), Bipolar Disorder and Treatment (2 papers), Diabetes Treatment and Management (2 papers), Treatment of Major Depression (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Biological Psychiatry (33 citations), Psychiatry and Mental health (81 citations), Endocrine and Autonomic Systems (37 citations), Aging (7 citations) and Genetics (73 citations). Chung‐Feng Kao has collaborated with scholars based in Taiwan, Australia and United States. Frequent co-authors include Po‐Hsiu Kuo, Shih‐Jen Tsai, Eugene Lin, Yu‐Li Liu, Albert C. Yang, Mong‐Liang Lu, Ming‐Chyi Huang, Chun-Hsin Chen, Chih-Chiang Chiu and Po‐Yu Chen. Their work appears in journals such as PLoS ONE, Oncotarget, Journal of Clinical Psychopharmacology, Molecular Biology and Evolution and American Journal of Medical Genetics Part B Neuropsychiatric Genetics.
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.