Ya‐Mei Bai
About
Ya‐Mei Bai is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Biological Psychiatry.
According to data from OpenAlex, Ya‐Mei Bai has authored 324 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Psychiatry and Mental health, 81 papers in Cognitive Neuroscience and 63 papers in Biological Psychiatry. Recurrent topics in Ya‐Mei Bai's work include Bipolar Disorder and Treatment (79 papers), Tryptophan and brain disorders (63 papers) and Functional Brain Connectivity Studies (46 papers). Ya‐Mei Bai is often cited by papers focused on Bipolar Disorder and Treatment (79 papers), Tryptophan and brain disorders (63 papers) and Functional Brain Connectivity Studies (46 papers). Ya‐Mei Bai collaborates with scholars based in Taiwan, United States and China. Ya‐Mei Bai's co-authors include Mu‐Hong Chen, Tung‐Ping Su, Cheng‐Ta Li, Tzeng‐Ji Chen, Shih‐Jen Tsai, Ju-Wei Hsu, Shu‐Chen Wei, Kai-Lin Huang, Wen‐Han Chang and Jen-Yeu Chen and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Internal Medicine.
In The Last Decade
Ya‐Mei Bai
305 papers receiving 8.0k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Ya‐Mei Bai Taiwan | 47 | 3.1k | 1.9k | 1.5k | 1.3k | 1.0k | 324 | 8.2k | ||
| Xiangyang Zhang China | 49 | 2.3k 0.7× | 1.7k 0.9× | 1.2k 0.8× | 1.9k 1.4× | 591 0.6× | 432 | 8.6k | ||
| Tung‐Ping Su Taiwan | 54 | 3.4k 1.1× | 1.3k 0.7× | 2.6k 1.7× | 1.5k 1.1× | 1.3k 1.3× | 281 | 9.6k | ||
| Taishiro Kishimoto Japan | 52 | 3.8k 1.2× | 1.3k 0.7× | 1.5k 1.0× | 1.2k 0.9× | 966 0.9× | 356 | 10.6k | ||
| Jonathan Cavanagh United Kingdom | 42 | 2.3k 0.8× | 2.0k 1.1× | 869 0.6× | 1.4k 1.1× | 437 0.4× | 129 | 7.4k | ||
| Maj Vinberg Denmark | 47 | 4.6k 1.5× | 1.9k 1.0× | 1.1k 0.7× | 2.1k 1.6× | 1.0k 1.0× | 281 | 9.3k | ||
| C. Neill Epperson United States | 61 | 1.5k 0.5× | 3.1k 1.6× | 1.5k 0.9× | 1.3k 1.0× | 885 0.9× | 182 | 13.8k | ||
| Wolfgang Maier Germany | 49 | 2.3k 0.7× | 1.1k 0.6× | 1.3k 0.9× | 688 0.5× | 612 0.6× | 172 | 7.1k | ||
| Georg Kemmler Austria | 64 | 3.7k 1.2× | 2.3k 1.2× | 1.0k 0.7× | 554 0.4× | 543 0.5× | 345 | 12.2k | ||
| Cristiano A. Köhler Brazil | 41 | 2.0k 0.7× | 1.0k 0.5× | 765 0.5× | 2.2k 1.6× | 548 0.5× | 73 | 7.1k | ||
| Jayashri Kulkarni Australia | 51 | 4.0k 1.3× | 2.2k 1.2× | 2.0k 1.3× | 678 0.5× | 628 0.6× | 277 | 10.4k |
Countries citing papers authored by Ya‐Mei Bai
Since
Specialization
Citations
This map shows the geographic impact of Ya‐Mei Bai'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 Ya‐Mei Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya‐Mei Bai more than expected).
Fields of papers citing papers by Ya‐Mei Bai
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Ya‐Mei Bai. 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 Ya‐Mei Bai. The network helps show where Ya‐Mei Bai may publish in the future.
Co-authorship network of co-authors of Ya‐Mei Bai
This figure shows the co-authorship network connecting the top 25 collaborators of Ya‐Mei Bai. A scholar is included among the top collaborators of Ya‐Mei Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ya‐Mei Bai. Ya‐Mei Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Hsu, Ju‐Wei, Shu‐Chen Wei, Ya‐Mei Bai, Shih‐Jen Tsai, & Mu‐Hong Chen. (2025). Appetite Hormone Regulation Biotypes of Major Affective Disorders in Proinflammatory Cytokines and Executive Function. The Journal of Clinical Psychiatry. 86(2).
2.
Chen, Mu‐Hong, Tai‐Long Pan, Chih-Ming Cheng, et al.. (2024). Familial coaggregation of major psychiatric disorders and neurodevelopmental disorders among first-degree relatives of individuals with generalized anxiety disorder. Journal of Affective Disorders. 368. 48–54.
3.
Chen, Mu‐Hong, Ya‐Mei Bai, Ju‐Wei Hsu, Kai‐Lin Huang, & Shih‐Jen Tsai. (2024). Proinflammatory cytokine levels, cognitive function, and suicidal symptoms of adolescents and young adults with major depressive disorder. European Archives of Psychiatry and Clinical Neuroscience. 274(7). 1681–1687.
4.
Bai, Ya‐Mei, et al.. (2024). Distinct Effects of Major Affective Disorder Diagnoses and Suicidal Symptom Severity on Inhibitory Control Function and Proinflammatory Cytokines: Single-Site Analysis of 800 Adolescents and Adults. The International Journal of Neuropsychopharmacology. 27(10).
5.
Lin, Wei‐Chen, Mu‐Hong Chen, Tung‐Ping Su, et al.. (2024). Effects of Low-Dose Ketamine Infusion on the Positive and Negative Domains of Hopelessness and Suicidal Thoughts. The Journal of Clinical Psychiatry. 85(3).
6.
Bai, Ya‐Mei, et al.. (2024). Brain functional networks and structures that categorize type 2 bipolar disorder and major depression. Progress in brain research. 290. 63–81.
7.
Chen, Mu‐Hong, Tung‐Ping Su, Li‐Fen Chen, et al.. (2023). Cortical inhibition function is associated with baseline suicidal symptoms and post-ketamine suicidal symptom reduction among patients with treatment-resistant depression and strong suicidal ideation. Journal of Psychiatric Research. 161. 48–53.
8.
Liou, Ying‐Jay, Shih‐Jen Tsai, Ya‐Mei Bai, Tzeng‐Ji Chen, & Mu‐Hong Chen. (2022). Dementia risk in middle-aged patients with schizophrenia, bipolar disorder, and major depressive disorder: a cohort study of 84,824 subjects. European Archives of Psychiatry and Clinical Neuroscience. 273(1). 219–227.
9.
Chiu, Hsien‐Jane, Cheuk‐Kwan Sun, Shih‐Jen Tsai, et al.. (2022). A nationwide study of the risks of major mental disorders among the offspring of parents with rheumatoid arthritis. Scientific Reports. 12(1). 4962–4962.
10.
Chen, Mu‐Hong, Tai‐Long Pan, Ya‐Mei Bai, et al.. (2021). Postpartum Depression and Psychosis and Subsequent Severe Mental Illnesses in Mothers and Neurodevelopmental Disorders in Children. The Journal of Clinical Psychiatry. 82(4).
11.
Cheng, Chih-Ming, Mu‐Hong Chen, Wenhan Chang, et al.. (2021). Risks of Coaggregation of Major Psychiatric Disorders Among First-Degree Relatives of Patients With Bipolar I and Bipolar II Disorder. The Journal of Clinical Psychiatry. 82(5).
12.
Yeh, Ta‐Chuan, Ya‐Mei Bai, Shih‐Jen Tsai, et al.. (2021). Risks of Major Mental Disorders and Irritable Bowel Syndrome among the Offspring of Parents with Irritable Bowel Syndrome: A Nationwide Study. International Journal of Environmental Research and Public Health. 18(9). 4679–4679.
13.
Chen, Mu‐Hong, Yu‐Li Liu, Hsiang‐Wei Kuo, et al.. (2021). Neurofilament Light Chain Is a Novel Biomarker for Major Depression and Related Executive Dysfunction. The International Journal of Neuropsychopharmacology. 25(2). 99–105.
14.
Chen, Mu‐Hong, Chih‐Ming Cheng, Ralitza Gueorguieva, et al.. (2019). Maintenance of antidepressant and antisuicidal effects by D-cycloserine among patients with treatment-resistant depression who responded to low-dose ketamine infusion: a double-blind randomized placebo–control study. Neuropsychopharmacology. 44(12). 2112–2118.
15.
Wei, Han-Ting, Tai‐Long Pan, Ju-Wei Hsu, et al.. (2018). Risks of bipolar disorder, depressive disorder, and traumatic brain injury among siblings of patients with attention-deficit hyperactivity disorder. Journal of Affective Disorders. 245. 335–339.
16.
Chen, Mu‐Hong, Ju-Wei Hsu, Tung‐Ping Su, et al.. (2018). Risk and coaggregation of major psychiatric disorders among first-degree relatives of patients with bipolar disorder: a nationwide population-based study. Psychological Medicine. 49(14). 2397–2404.
17.
Li, Cheng‐Ta, Mu‐Hong Chen, Shu‐Chen Wei, et al.. (2017). Repeated Low-Grade Infections Predict Antidepressant-Resistant Depression. The Journal of Clinical Psychiatry. 79(1). 17m11540–17m11540.
18.
Li, Cheng‐Ta, Ya‐Mei Bai, Ying-Chiao Lee, et al.. (2014). High Dosage of Hypnotics Predicts Subsequent Sleep-Related Breathing Disorders and Is Associated with Worse Outcomes for Depression. SLEEP. 37(4). 803–809.
19.
Bai, Ya‐Mei, et al.. (2013). Major depressive disorder induced by prolactinoma—a case report. General Hospital Psychiatry. 36(1). 125.e1–125.e2.
20.
Li, Cheng‐Ta, Shyh‐Jen Wang, Jussi Hirvonen, et al.. (2010). Antidepressant mechanism of add-on repetitive transcranial magnetic stimulation in medication-resistant depression using cerebral glucose metabolism. Journal of Affective Disorders. 127(1-3). 219–229.
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.
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