Shunkai Lai

1.5k total citations
61 papers, 1.0k citations indexed

About

Shunkai Lai is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Pharmacology. According to data from OpenAlex, Shunkai Lai has authored 61 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Psychiatry and Mental health, 26 papers in Cognitive Neuroscience and 14 papers in Pharmacology. Recurrent topics in Shunkai Lai's work include Functional Brain Connectivity Studies (25 papers), Bipolar Disorder and Treatment (24 papers) and Treatment of Major Depression (14 papers). Shunkai Lai is often cited by papers focused on Functional Brain Connectivity Studies (25 papers), Bipolar Disorder and Treatment (24 papers) and Treatment of Major Depression (14 papers). Shunkai Lai collaborates with scholars based in China, Czechia and Norway. Shunkai Lai's co-authors include Shuming Zhong, Yanbin Jia, Xiaoxiao Liao, Tingting He, Jian Chen, Tao Liu, Ying Wang, Guanmao Chen, Yanbin Jia and Li Huang and has published in prestigious journals such as Nano Letters, PLoS ONE and Journal of Affective Disorders.

In The Last Decade

Shunkai Lai

55 papers receiving 1.0k citations

Peers

Shunkai Lai
Huaqing Meng China
Thomas Desmidt France
Linda Mah Canada
Takamasa Noda Japan
Abhishekh H. Ashok United Kingdom
A. Mechri Tunisia
Javier de Diego-Adeliño Spain
Meina Quan China
A. Klimke Germany
Romain Colle France
Huaqing Meng China
Shunkai Lai
Citations per year, relative to Shunkai Lai Shunkai Lai (= 1×) peers Huaqing Meng

Countries citing papers authored by Shunkai Lai

Since Specialization
Citations

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

Fields of papers citing papers by Shunkai Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shunkai Lai. 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 Shunkai Lai. The network helps show where Shunkai Lai may publish in the future.

Co-authorship network of co-authors of Shunkai Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Shunkai Lai. A scholar is included among the top collaborators of Shunkai Lai 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 Shunkai Lai. Shunkai Lai 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
1.
2.
Wu, Yingchao, Shuming Zhong, Ying Wang, et al.. (2025). Cognitive and metabolic signatures of early and late-onset depression: A comparative study. Journal of Affective Disorders. 379. 10–18. 1 indexed citations
3.
Zhong, Shuming, Jia-Li He, Yingchao Wu, et al.. (2024). The differences in testosterone and stress hormones between unipolar and bipolar depression in adolescents and adults. Psychoneuroendocrinology. 172. 107227–107227. 2 indexed citations
4.
Lai, Shunkai, Shuming Zhong, Yiliang Zhang, et al.. (2024). Sex-differential cognitive performance on MCCB of youth with BD-II depression. BMC Psychiatry. 24(1). 345–345. 2 indexed citations
5.
Lü, Xiaodan, Shunkai Lai, Ying Wang, et al.. (2023). Biochemical metabolism in the anterior cingulate cortex and cognitive function in major depressive disorder with or without insomnia syndrome. Journal of Affective Disorders. 335. 256–263. 7 indexed citations
6.
Lai, Shunkai, et al.. (2023). The effect of exogenous estrogen on depressive mood in women: A systematic review and meta-analysis of randomized controlled trials. Journal of Psychiatric Research. 162. 21–29. 18 indexed citations
7.
Zhong, Hui, Yiliang Zhang, Jie Yin, et al.. (2023). Personality traits as predictors for treatment response to sertraline among unmedicated obsessive-compulsive Disorder: A 12-weeks retrospective longitudinal study. Journal of Psychiatric Research. 170. 245–252. 1 indexed citations
8.
Yan, Shuya, Shiyi Shen, Qianyi Lu, et al.. (2023). Virtual reality working memory training improves cognitive performance of acute and remitted patients with major depressive disorder. Journal of Affective Disorders. 344. 267–276. 8 indexed citations
9.
Zhong, Shuming, et al.. (2023). Sex differences in serum trace elements and minerals levels in unmedicated patients with major depressive episode: The role of suicidal ideation. Journal of Affective Disorders. 348. 26–34. 5 indexed citations
10.
Yan, Shuya, et al.. (2022). Effects of virtual reality working memory training on event-based prospective memory in patients with major depressive disorder. Journal of Psychiatric Research. 156. 91–99. 7 indexed citations
11.
Liu, Xiao, Shunkai Lai, Lian Liu, et al.. (2022). Development of a Novel Retina−Based Diagnostic Score for Early Detection of Major Depressive Disorder: An Interdisciplinary View. Frontiers in Psychiatry. 13. 897759–897759. 13 indexed citations
12.
Zhong, Shuming, Xuanjun Liu, Shunkai Lai, et al.. (2021). Childhood trauma history is linked to abnormal brain metabolism of non-medicated adult patients with major depressive disorder. Journal of Affective Disorders. 302. 101–109. 14 indexed citations
13.
Zhong, Shuming, Shunkai Lai, Tingting He, et al.. (2021). Correlations Between Working Memory Impairment and Neurometabolites of the Prefrontal Cortex in Drug-Naive Obsessive-Compulsive Disorder. Neuropsychiatric Disease and Treatment. Volume 17. 2647–2657. 6 indexed citations
14.
Zhang, Yiliang, Shuming Zhong, & Shunkai Lai. (2019). The brain imaging mechanisms of visual cognitive impairment in depression. Zhonghua xingwei yixue yu naokexue zazhi. 28(10). 951–955. 1 indexed citations
15.
Liu, Xuanjun, Shuming Zhong, Junhao Chen, et al.. (2019). Serum copper and zinc levels correlate with biochemical metabolite ratios in the prefrontal cortex and lentiform nucleus of patients with major depressive disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 99. 109828–109828. 25 indexed citations
16.
17.
Gong, Jiaying, Guanmao Chen, Yanbin Jia, et al.. (2018). Disrupted functional connectivity within the default mode network and salience network in unmedicated bipolar II disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 88. 11–18. 56 indexed citations
18.
Zhong, Shuming, Ying Wang, Shunkai Lai, et al.. (2018). Associations between executive function impairment and biochemical abnormalities in bipolar disorder with suicidal ideation. Journal of Affective Disorders. 241. 282–290. 26 indexed citations
19.
Chen, Guanmao, Lianping Zhao, Yanbin Jia, et al.. (2017). Functional connectivity strengths in unmedicated patients with major depressive disorder: a resting-state functional magnetic resonance imaging study. Chin J Psychiatry. 50(5). 377–382. 1 indexed citations
20.
Lai, Shunkai, Shuming Zhong, Xiaoxiao Liao, et al.. (2017). Biochemical abnormalities in basal ganglia and executive dysfunction in acute- and euthymic-episode patients with bipolar disorder: A proton magnetic resonance spectroscopy study. Journal of Affective Disorders. 225. 108–116. 19 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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