Kun-Yu Tu
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
-
- Bipolar Disorder and Treatment 5
- Schizophrenia research and treatment 2
- Electroconvulsive Therapy Studies 1
- Co-authors
- Ping‐Tao Tseng (9 shared papers)Yen‐Wen Chen (8 shared papers)Ching-Kuan Wu (8 shared papers)Pao‐Yen Lin (9 shared papers)Hung‐Yu Wang (5 shared papers)Yu‐Shian Cheng (4 shared papers)Weilun Chung (5 shared papers)Ming‐Kung Wu (1 shared paper)
- Journals
- Medicine (4 papers)Clinical Neuropharmacology (2 papers)Scientific Reports (1 paper)Journal of Psychiatric Research (1 paper)BMC Psychiatry (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Kun-Yu Tu
12 papers receiving 307 citations
Peers
Comparison fields: 5 of 74
- Biological Psychiatry 84
- Behavioral Neuroscience 50
- Endocrine and Autonomic Systems 52
- Psychiatry and Mental health 106
- Developmental Neuroscience 19
Countries citing papers authored by Kun-Yu Tu
This map shows the geographic impact of Kun-Yu Tu'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 Kun-Yu Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun-Yu Tu more than expected).
Fields of papers citing papers by Kun-Yu Tu
This network shows the impact of papers produced by Kun-Yu Tu. 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 Kun-Yu Tu. The network helps show where Kun-Yu Tu may publish in the future.
Co-authors
The 18 scholars most cited alongside Kun-Yu Tu, 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 | 2016 | 73 | |
| 2 | 2015 | 52 | |
| 3 | 2015 | 42 | |
| 4 | 2016 | 39 | |
| 5 | 2016 | 28 | |
| 6 | 2016 | 27 | |
| 7 | 2016 | 25 | |
| 8 | 2016 | 16 | |
| 9 | 2014 | 6 | |
| 10 | 2018 | 6 | |
| 11 | 2018 | 4 | |
| 12 | 2022 | 3 |
About Kun-Yu Tu
Kun-Yu Tu is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Biological Psychiatry, Endocrinology, Diabetes and Metabolism and Genetics, having authored 12 papers that have together received 321 indexed citations. Recurring topics across this work include Bipolar Disorder and Treatment (5 papers), Tryptophan and brain disorders (2 papers), Schizophrenia research and treatment (2 papers), Pharmacological Effects and Toxicity Studies (1 paper), Nerve injury and regeneration (1 paper), Bone health and osteoporosis research (1 paper), Connective tissue disorders research (1 paper) and Electroconvulsive Therapy Studies (1 paper). The work is most often cited by research in Biological Psychiatry (84 citations), Behavioral Neuroscience (50 citations), Endocrine and Autonomic Systems (52 citations), Psychiatry and Mental health (106 citations) and Developmental Neuroscience (19 citations). Kun-Yu Tu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Ping‐Tao Tseng, Yen‐Wen Chen, Ching-Kuan Wu, Pao‐Yen Lin, Hung‐Yu Wang, Yu‐Shian Cheng, Weilun Chung, Ming‐Kung Wu, Yeun‐Chung Chang and Shih‐Pin Hsu. Their work appears in journals such as Medicine, Clinical Neuropharmacology, Scientific Reports, Journal of Psychiatric Research and BMC Psychiatry.
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.