Shuya Yan

545 total citations
23 papers, 363 citations indexed

About

Shuya Yan is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Pharmacology. According to data from OpenAlex, Shuya Yan has authored 23 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 7 papers in Psychiatry and Mental health and 6 papers in Pharmacology. Recurrent topics in Shuya Yan's work include Functional Brain Connectivity Studies (7 papers), Treatment of Major Depression (6 papers) and Tryptophan and brain disorders (5 papers). Shuya Yan is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Treatment of Major Depression (6 papers) and Tryptophan and brain disorders (5 papers). Shuya Yan collaborates with scholars based in China, United States and Denmark. Shuya Yan's co-authors include Bennett Leventhal, Edwin H. Cook, Kathlyn E. Fletcher, Mark S. Wainwright, Elizabeth Berry‐Kravis, David Charak, George M. Anderson, Ramesh Arora, Shuming Zhong and Shunkai Lai and has published in prestigious journals such as Journal of Neurochemistry, Journal of Affective Disorders and Life Sciences.

In The Last Decade

Shuya Yan

18 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuya Yan China 8 158 99 82 77 71 23 363
Urs Heilbronner Germany 12 142 0.9× 164 1.7× 77 0.9× 63 0.8× 51 0.7× 39 447
Po‐Yu Chen Taiwan 14 130 0.8× 132 1.3× 52 0.6× 30 0.4× 88 1.2× 33 454
Gwyneth Zai Canada 8 72 0.5× 100 1.0× 126 1.5× 50 0.6× 73 1.0× 23 305
Jeffrey Lieberman United States 9 107 0.7× 170 1.7× 61 0.7× 81 1.1× 51 0.7× 21 432
Rita Masellis Italy 14 197 1.2× 146 1.5× 158 1.9× 104 1.4× 45 0.6× 28 497
Eduardo S. Ghisolfi Brazil 9 145 0.9× 131 1.3× 81 1.0× 28 0.4× 36 0.5× 13 446
Vadim D. Khait United States 7 143 0.9× 149 1.5× 139 1.7× 81 1.1× 149 2.1× 8 485
Marina Mihaljević Serbia 12 73 0.5× 149 1.5× 54 0.7× 34 0.4× 75 1.1× 36 482
Dubravka Jancic United States 9 51 0.3× 127 1.3× 75 0.9× 141 1.8× 91 1.3× 11 447
Evan A. Winiger United States 9 107 0.7× 58 0.6× 81 1.0× 133 1.7× 49 0.7× 19 481

Countries citing papers authored by Shuya Yan

Since Specialization
Citations

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

Fields of papers citing papers by Shuya Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuya Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Shuya Yan. A scholar is included among the top collaborators of Shuya Yan 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 Shuya Yan. Shuya Yan 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.
Yan, Shuya, Yong Zhang, Shunkai Lai, et al.. (2025). Sex differences in brain metabolites of unmedicated depressed adolescents with non-suicidal self-injury: a proton magnetic resonance spectroscopy study. Journal of Affective Disorders. 382. 167–175.
4.
5.
Zhong, Shuming, Shunkai Lai, Yiliang Zhang, et al.. (2024). MIR218 polygenic risk score is associated with cognitive function and neurochemical metabolites among patients with depressed bipolar disorders. Journal of Affective Disorders. 371. 104–112. 1 indexed citations
6.
Zhong, Shuming, Shuya Yan, Shunkai Lai, et al.. (2024). Effects of virtual reality-based cognitive training for adolescents with depressive episodes: A pilot randomized controlled study. Psychiatry Research. 340. 116144–116144. 5 indexed citations
7.
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
8.
Zhang, Yiliang, Shunkai Lai, Ying Wang, et al.. (2024). The effectiveness of vortioxetine on neurobiochemical metabolites and cognitive of major depressive disorders patients: A 8-week follow-up study. Journal of Affective Disorders. 351. 799–807. 7 indexed citations
9.
Lai, Shunkai, Jiali He, Shuming Zhong, et al.. (2024). Gender-related alterations of serum trace elements and neurometabolism in the anterior cingulate cortex of patients with major depressive disorder. Journal of Affective Disorders. 360. 176–187. 4 indexed citations
10.
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
11.
Yan, Shuya, et al.. (2023). The Properties of Involuntary and Voluntary Autobiographical Memories in Chinese Patients with Depression and Healthy Individuals. Cognitive Therapy and Research. 49(6). 1189–1202. 3 indexed citations
12.
Yan, Shuya, et al.. (2023). Adaptive robust maximum correntropy cubature Kalman filter for spacecraft attitude estimation. Advances in Space Research. 72(8). 3376–3385. 4 indexed citations
13.
He, Jiali, Shuya Yan, Qianyi Lu, et al.. (2022). Similarities and differences in working memory and neurometabolism of obsessive-compulsive disorder and major depressive disorder. Journal of Affective Disorders. 311. 556–564. 8 indexed citations
14.
Lai, Shunkai, Shuming Zhong, Ying Wang, et al.. (2022). The prevalence and characteristics of MCCB cognitive impairment in unmedicated patients with bipolar II depression and major depressive disorder. Journal of Affective Disorders. 310. 369–376. 29 indexed citations
15.
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
16.
Yan, Shuya, Lipeng Li, Apurbo Sarkar, & Guotao Yang. (2022). Assessing the efficiency level of the “poverty alleviation through agriculture project”: A case study of fixed observation points in China. Frontiers in Sustainable Food Systems. 6. 1 indexed citations
17.
Zhong, Shuming, Shanhong Zhang, Shunkai Lai, et al.. (2021). Correlations between facial emotion processing and biochemical abnormalities in untreated adolescent patients with major depressive disorder: A proton magnetic resonance spectroscopy study. Journal of Affective Disorders. 296. 408–417. 11 indexed citations
19.
Cook, Edwin H., et al.. (1994). Primary Structure of the Human Platelet Serotonin 5‐HT2A Receptor: Identity with Frontal Cortex Serotonin 5‐HT2A Receptor. Journal of Neurochemistry. 63(2). 465–469. 127 indexed citations
20.
Cook, Edwin H., Ramesh Arora, George M. Anderson, et al.. (1993). Platelet serotonin studies in hyperserotonemic relatives of children with autistic disorder. Life Sciences. 52(25). 2005–2015. 128 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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