Pei‐Chi Tu

2.3k total citations
59 papers, 1.7k citations indexed

About

Pei‐Chi Tu is a scholar working on Cognitive Neuroscience, Biological Psychiatry and Psychiatry and Mental health. According to data from OpenAlex, Pei‐Chi Tu has authored 59 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 20 papers in Biological Psychiatry and 20 papers in Psychiatry and Mental health. Recurrent topics in Pei‐Chi Tu's work include Functional Brain Connectivity Studies (25 papers), Tryptophan and brain disorders (20 papers) and Treatment of Major Depression (17 papers). Pei‐Chi Tu is often cited by papers focused on Functional Brain Connectivity Studies (25 papers), Tryptophan and brain disorders (20 papers) and Treatment of Major Depression (17 papers). Pei‐Chi Tu collaborates with scholars based in Taiwan, United States and South Korea. Pei‐Chi Tu's co-authors include Tung‐Ping Su, Cheng‐Ta Li, Carolyn Zyloney, Jian Kong, Randy L. Buckner, Fenna M. Krienen, Shih‐Jen Tsai, Ya‐Mei Bai, Mu‐Hong Chen and Peter S. LaViolette and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Brain.

In The Last Decade

Pei‐Chi Tu

55 papers receiving 1.7k citations

Peers

Pei‐Chi Tu
Eduard Kraft Germany
Sophie M. Heringa Netherlands
Dániel Pham United States
Crystal Cooper United States
Martina Ballmaier United States
Eduard Kraft Germany
Pei‐Chi Tu
Citations per year, relative to Pei‐Chi Tu Pei‐Chi Tu (= 1×) peers Eduard Kraft

Countries citing papers authored by Pei‐Chi Tu

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Chi Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei‐Chi 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 Pei‐Chi Tu. The network helps show where Pei‐Chi Tu may publish in the future.

Co-authorship network of co-authors of Pei‐Chi Tu

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

All Works

20 of 20 papers shown
2.
Tu, Pei‐Chi, Tung‐Ping Su, Shu‐Chen Wei, et al.. (2024). Thalamocortical functional connectivity and rapid antidepressant and antisuicidal effects of low-dose ketamine infusion among patients with treatment-resistant depression. Molecular Psychiatry. 30(1). 61–68. 4 indexed citations
3.
Tu, Pei‐Chi, et al.. (2024). Association between cortical thickness or surface area and divergent thinking in patients with bipolar disorder. Acta Neuropsychiatrica. 36(4). 224–231. 1 indexed citations
4.
Li, Cheng‐Yuan, Mu‐Hong Chen, Pei‐Chi Tu, et al.. (2024). Correlation of Disease Severity, Proinflammatory Cytokines, and Reduced Brain Gray Matter Volumes in Patients with Atopic Dermatitis. Dermatitis. 35(5). 489–497.
5.
Tu, Pei‐Chi, Wei‐Chen Lin, Tung‐Ping Su, et al.. (2024). Thalamocortical Dysconnectivity in Treatment‐Resistant Depression. Journal of Neuroscience Research. 102(10). e25388–e25388.
6.
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
7.
Chen, Mu‐Hong, Wei‐Chen Lin, Cheng‐Ta Li, et al.. (2023). Effects of low-dose ketamine infusion on vascular endothelial growth factor and matrix metalloproteinase-9 among patients with treatment-resistant depression and suicidal ideation. Journal of Psychiatric Research. 165. 91–95. 7 indexed citations
8.
Tsai, Shih‐Jen, Tung‐Ping Su, Cheng‐Ta Li, et al.. (2023). Cytokine- and Vascular Endothelial Growth Factor-Related Gene-Based Genome-Wide Association Study of Low-Dose Ketamine Infusion in Patients with Treatment-Resistant Depression. CNS Drugs. 37(3). 243–253. 12 indexed citations
9.
Su, Tung‐Ping, Cheng‐Ta Li, Wei‐Chen Lin, et al.. (2023). A Randomized, Double-Blind, Midazolam-Controlled Trial of Low-Dose Ketamine Infusion in Patients With Treatment-Resistant Depression and Prominent Suicidal Ideation. The International Journal of Neuropsychopharmacology. 26(5). 331–339. 26 indexed citations
10.
Chen, Mu‐Hong, Ya‐Mei Bai, Cheng‐Ta Li, et al.. (2023). Role of klotho on antidepressant and antisuicidal effects of low-dose ketamine infusion among patients with treatment-resistant depression and suicidal ideation. Journal of Affective Disorders. 340. 471–475. 5 indexed citations
11.
12.
Lin, Wei‐Chen, Tung‐Ping Su, Cheng‐Ta Li, et al.. (2023). Baseline cognitive function predicts full remission of suicidal symptoms among patients with treatment-resistant depression and strong suicidal ideation after low-dose ketamine infusion. Journal of Psychopharmacology. 37(8). 795–801. 2 indexed citations
13.
Lin, Wei‐Chen, Tung‐Ping Su, Cheng‐Ta Li, et al.. (2023). Association of Neurofilament Light Chain With the Antidepressant Effects of Low-Dose Ketamine Infusion Among Patients With Treatment-Resistant Depression. The International Journal of Neuropsychopharmacology. 26(9). 649–653. 7 indexed citations
14.
Lin, Chun‐Jen, Feng‐Chi Chang, Chung‐Jung Lin, et al.. (2021). Long-term cognitive and multimodal imaging outcomes after carotid artery stenting vs intensive medication alone for severe asymptomatic carotid stenosis. Journal of the Formosan Medical Association. 121(1). 134–143. 14 indexed citations
15.
Chen, Mu‐Hong, Cheng‐Ta Li, Wei‐Chen Lin, et al.. (2021). Is one or two infusions better in the first week of low-dose ketamine treatment for medication-resistant depression? A post hoc pooled analysis of randomized placebo-controlled and open-label trials. Journal of Psychiatric Research. 144. 448–454. 5 indexed citations
16.
Lin, Chun‐Jen, Feng‐Chi Chang, Kun‐Hsien Chou, et al.. (2016). Intervention versus Aggressive Medical Therapy for Cognition in Severe Asymptomatic Carotid Stenosis. American Journal of Neuroradiology. 37(10). 1889–1897. 19 indexed citations
17.
Li, Cheng‐Ta, Mu‐Hong Chen, Wei‐Chen Lin, et al.. (2016). The effects of low‐dose ketamine on the prefrontal cortex and amygdala in treatment‐resistant depression: A randomized controlled study. Human Brain Mapping. 37(3). 1080–1090. 117 indexed citations
18.
Lin, Chun‐Jen, Pei‐Chi Tu, Chang‐Ming Chern, et al.. (2014). Connectivity Features for Identifying Cognitive Impairment in Presymptomatic Carotid Stenosis. PLoS ONE. 9(1). e85441–e85441. 45 indexed citations
19.
Bai, Ya‐Mei, Tung‐Ping Su, Shih‐Jen Tsai, et al.. (2014). Comparison of inflammatory cytokine levels among type I/type II and manic/hypomanic/euthymic/depressive states of bipolar disorder. Journal of Affective Disorders. 166. 187–192. 94 indexed citations
20.
Krienen, Fenna M., Pei‐Chi Tu, & Randy L. Buckner. (2010). Clan Mentality: Evidence That the Medial Prefrontal Cortex Responds to Close Others. Journal of Neuroscience. 30(41). 13906–13915. 198 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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