Shih‐Jen Tsai

24.3k total citations · 2 hit papers
689 papers, 16.9k citations indexed

About

Shih‐Jen Tsai is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shih‐Jen Tsai has authored 689 papers receiving a total of 16.9k indexed citations (citations by other indexed papers that have themselves been cited), including 224 papers in Psychiatry and Mental health, 182 papers in Cognitive Neuroscience and 141 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shih‐Jen Tsai's work include Functional Brain Connectivity Studies (90 papers), Bipolar Disorder and Treatment (84 papers) and Tryptophan and brain disorders (80 papers). Shih‐Jen Tsai is often cited by papers focused on Functional Brain Connectivity Studies (90 papers), Bipolar Disorder and Treatment (84 papers) and Tryptophan and brain disorders (80 papers). Shih‐Jen Tsai collaborates with scholars based in Taiwan, United States and China. Shih‐Jen Tsai's co-authors include Chen‐Jee Hong, Albert C. Yang, Younger W.‐Y. Yu, Ya‐Mei Bai, Mu‐Hong Chen, Tung‐Ping Su, Ying‐Jay Liou, Cheng‐Ta Li, Tai‐Jui Chen and Tzeng‐Ji Chen and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Shih‐Jen Tsai

662 papers receiving 16.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Role of Interleukin-6 in Depressive Disorder

2020 270 citations Albert C. Yang, Shih‐Jen Tsai et al. International Journal of Molecular Sciences profile →
Inflammatory bowel disease is associated with higher dementia risk: a nationwide longitudinal study

2020 208 citations Ya‐Mei Bai, Shih‐Jen Tsai et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shih‐Jen Tsai Taiwan	63	4.5k	4.1k	3.7k	2.6k	2.3k	689	16.9k
Anil K. Malhotra United States	75	8.1k 1.8×	5.4k 1.3×	4.3k 1.2×	3.3k 1.3×	2.1k 0.9×	584	21.9k
Undine E. Lang Switzerland	54	2.2k 0.5×	2.6k 0.6×	4.1k 1.1×	2.9k 1.1×	3.5k 1.5×	377	17.4k
Hiroshi Kunugi Japan	66	2.9k 0.6×	2.2k 0.5×	3.3k 0.9×	4.2k 1.6×	3.0k 1.3×	446	15.7k
Norio Ozaki Japan	59	2.8k 0.6×	2.4k 0.6×	4.4k 1.2×	4.6k 1.7×	1.6k 0.7×	748	16.2k
Glenda MacQueen Canada	70	6.8k 1.5×	4.3k 1.1×	2.7k 0.7×	1.6k 0.6×	2.8k 1.2×	270	19.4k
Wolfgang Maier Germany	70	5.3k 1.2×	3.8k 0.9×	2.3k 0.6×	2.4k 0.9×	1.1k 0.5×	468	18.7k
Wagner F. Gattaz Brazil	64	6.1k 1.3×	2.3k 0.6×	2.1k 0.6×	2.5k 1.0×	1.9k 0.8×	387	14.5k
Donald Goff United States	78	9.5k 2.1×	5.5k 1.4×	3.4k 0.9×	2.9k 1.1×	2.4k 1.0×	285	20.1k
Jair C. Soares United States	74	9.9k 2.2×	5.6k 1.4×	2.5k 0.7×	1.6k 0.6×	3.1k 1.4×	481	19.9k
William G. Honer Canada	59	5.1k 1.1×	2.4k 0.6×	3.1k 0.8×	2.7k 1.0×	1.0k 0.4×	406	14.0k

Countries citing papers authored by Shih‐Jen Tsai

Since Specialization

Citations

This map shows the geographic impact of Shih‐Jen Tsai'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 Shih‐Jen Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih‐Jen Tsai more than expected).

Fields of papers citing papers by Shih‐Jen Tsai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Jen Tsai. 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 Shih‐Jen Tsai. The network helps show where Shih‐Jen Tsai may publish in the future.

Co-authorship network of co-authors of Shih‐Jen Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐Jen Tsai. A scholar is included among the top collaborators of Shih‐Jen Tsai 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 Shih‐Jen Tsai. Shih‐Jen Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

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).

Lin, Shu-fei, et al.. (2025). Local cortical structure pattern and genetic links in schizophrenia: An MRI and CRISPR/Cas9 study. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 137. 111270–111270. 1 indexed citations

Hsu, Tien‐Wei, Ping‐Tao Tseng, Shih‐Jen Tsai, et al.. (2024). Quality and correctness of AI-generated versus human-written abstracts in psychiatric research papers. Psychiatry Research. 341. 116145–116145. 1 indexed citations

Chen, Mu‐Hong, Tai‐Long Pan, Chih‐Ming Cheng, et al.. (2024). Obsessive-compulsive disorder and suicide: a longitudinal study in Taiwan. Epidemiology and Psychiatric Sciences. 33. e42–e42.

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. 1 indexed citations

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. 5 indexed citations

Chen, Mu‐Hong & Shih‐Jen Tsai. (2023). Maintenance of antidepressant effect by dextromethorphan in patients with treatment-resistant depression who respond to ketamine intervention. Medical Hypotheses. 182. 111242–111242. 1 indexed citations

Li, Cheng‐Ta, Chi‐Hung Juan, Hui‐Ching Lin, et al.. (2022). Cortical excitatory and inhibitory correlates of the fronto-limbic circuit in major depression and differential effects of left frontal brain stimulation in a randomized sham-controlled trial. Journal of Affective Disorders. 311. 364–370. 18 indexed citations

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). 12 indexed citations

10.

Yang, Albert C., et al.. (2020). Role of Interleukin-6 in Depressive Disorder. International Journal of Molecular Sciences. 21(6). 2194–2194. 270 indexed citations breakdown →

11.

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. 60 indexed citations

12.

Cheng, Wei, Edmund T. Rolls, Jiang Qiu, et al.. (2018). Increased functional connectivity of the posterior cingulate cortex with the lateral orbitofrontal cortex in depression. Translational Psychiatry. 8(1). 90–90. 96 indexed citations

13.

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. 9 indexed citations

14.

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. 13 indexed citations

15.

Liou, Ying‐Jay, Tai‐Jui Chen, Shih‐Jen Tsai, et al.. (2010). Evidence of involvement of the human Par-4 (PAWR) gene in major depressive disorder. The World Journal of Biological Psychiatry. 12(4). 288–295. 3 indexed citations

16.

Tsai, Shih‐Jen, Chen‐Jee Hong, Ying‐Jay Liou, et al.. (2009). Tryptophan hydroxylase 2 gene is associated with major depression and antidepressant treatment response. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 33(4). 637–641. 79 indexed citations

17.

Liou, Ying‐Jay, et al.. (2009). Support for the involvement of the KCNK2 gene in major depressive disorder and response to antidepressant treatment. Pharmacogenetics and Genomics. 19(10). 735–741. 39 indexed citations

18.

Tsai, Shih‐Jen. (2006). Cysteamine-related agents could be potential antidepressants through increasing central BDNF levels. Medical Hypotheses. 67(5). 1185–1188. 10 indexed citations

19.

Tsai, Shih‐Jen, et al.. (2003). Clinical and phenomenological comparisons of delusional and non‐delusional major depression in the Chinese elderly. International Journal of Geriatric Psychiatry. 18(6). 486–490. 11 indexed citations

20.

Tsai, Shih‐Jen, et al.. (2002). Association study of Angiotensin I-converting enzyme polymorphism and symptomatology and antidepressant response in major depressive disorders. Journal of Neural Transmission. 109(9). 1209–1214. 41 indexed citations

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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