Minlan Yuan

1.3k total citations · 1 hit paper
50 papers, 782 citations indexed

About

Minlan Yuan is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, Minlan Yuan has authored 50 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 18 papers in Experimental and Cognitive Psychology and 10 papers in Clinical Psychology. Recurrent topics in Minlan Yuan's work include Functional Brain Connectivity Studies (19 papers), Mental Health Research Topics (12 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (10 papers). Minlan Yuan is often cited by papers focused on Functional Brain Connectivity Studies (19 papers), Mental Health Research Topics (12 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (10 papers). Minlan Yuan collaborates with scholars based in China, United States and Australia. Minlan Yuan's co-authors include Wei Zhang, Hongru Zhu, Su Lui, Qiyong Gong, Changjian Qiu, Zhengjia Ren, Yajing Meng, Fenfen Ge, Cui Yuan and Yan Zhang and has published in prestigious journals such as Scientific Reports, Cerebral Cortex and Neuropsychopharmacology.

In The Last Decade

Minlan Yuan

42 papers receiving 771 citations

Hit Papers

Epigenetic regulation in major depression and other stres... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minlan Yuan China 18 353 241 149 85 85 50 782
Haggai Sharon Israel 18 455 1.3× 166 0.7× 214 1.4× 39 0.5× 70 0.8× 57 1.0k
Laura S. van Velzen Netherlands 15 453 1.3× 206 0.9× 276 1.9× 43 0.5× 102 1.2× 28 924
Anusha Baskaran Canada 11 349 1.0× 273 1.1× 118 0.8× 46 0.5× 142 1.7× 16 962
Susanne Meinert Germany 15 317 0.9× 191 0.8× 153 1.0× 40 0.5× 66 0.8× 37 700
Joanna Szczepanik United States 14 321 0.9× 114 0.5× 100 0.7× 66 0.8× 155 1.8× 27 775
Hongru Zhu China 17 512 1.5× 290 1.2× 185 1.2× 23 0.3× 41 0.5× 52 781
Brian D. Boyd United States 18 454 1.3× 183 0.8× 173 1.2× 46 0.5× 123 1.4× 46 1.1k
Haris Aslam United States 14 273 0.8× 151 0.6× 114 0.8× 37 0.4× 68 0.8× 41 650
Aybala Sarıçiçek Türkiye 16 352 1.0× 122 0.5× 75 0.5× 101 1.2× 93 1.1× 19 756
Pozi Liu China 17 273 0.8× 131 0.5× 179 1.2× 185 2.2× 62 0.7× 49 896

Countries citing papers authored by Minlan Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Minlan Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minlan Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Minlan Yuan. A scholar is included among the top collaborators of Minlan Yuan 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 Minlan Yuan. Minlan Yuan 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.
Tan, Li, H. J. Yang, Yilong Chen, et al.. (2025). Gut microbiota dysbiosis and metabolic perturbations of bile/glyceric acids in major depressive disorder with IBS comorbidity. mBio. 16(11). e0244725–e0244725.
2.
4.
Zhu, Ting, Yao Hu, Yang Cao, et al.. (2024). Association of clinical phenotypes of depression with comorbid conditions, treatment patterns and outcomes: a 10-year region-based cohort study. Translational Psychiatry. 14(1). 504–504. 1 indexed citations
5.
Goldenthal, Ariel, Evan Lieberman, Mina Rizk, et al.. (2024). Relationships between serotonin 1A receptor DNA methylation, self-reported history of childhood abuse and gray matter volume in major depression. Journal of Affective Disorders. 367. 307–317. 1 indexed citations
6.
Yuan, Minlan, et al.. (2024). Long-term follow-up of brain regional changes and the association with cognitive impairment in quarantined COVID-19 survivors. European Archives of Psychiatry and Clinical Neuroscience. 274(8). 1911–1922. 4 indexed citations
7.
Huang, Zhao, Li Zhou, Jiufei Duan, et al.. (2024). Oxidative Stress Promotes Liver Cancer Metastasis via RNF25‐Mediated E‐Cadherin Protein Degradation. Advanced Science. 11(13). e2306929–e2306929. 19 indexed citations
9.
Zhu, Ting, et al.. (2023). Dissecting clinical and biological heterogeneity in clinical states of bipolar disorder: a 10-year retrospective study from China. Frontiers in Psychiatry. 14. 1128862–1128862. 4 indexed citations
10.
Yuan, Minlan, Bo Liu, Biao Yang, et al.. (2023). Dysfunction of default mode network characterizes generalized anxiety disorder relative to social anxiety disorder and post-traumatic stress disorder. Journal of Affective Disorders. 334. 35–42. 17 indexed citations
11.
Лю, Бо, Lijun Jiang, Minlan Yuan, Hongru Zhu, & Wei Zhang. (2023). Pica in a girl with non-suicidal self-injury: a case report. Frontiers in Psychiatry. 14. 1320079–1320079.
12.
Gu, Xiaojing, et al.. (2023). Identifying novel proteins underlying loneliness by integrating GWAS summary data with human brain proteomes. Neuropsychopharmacology. 48(7). 1087–1097. 5 indexed citations
13.
Liu, Bo, et al.. (2023). The Effect of High-Altitude Hypoxia on Neuropsychiatric Functions. High Altitude Medicine & Biology. 25(1). 26–41. 5 indexed citations
15.
Xiao, Hongqi, Minlan Yuan, Hailong Li, et al.. (2021). Functional connectivity of the hippocampus in predicting early antidepressant efficacy in patients with major depressive disorder. Journal of Affective Disorders. 291. 315–321. 21 indexed citations
16.
Yuan, Minlan, Harry Rubin‐Falcone, Xuejing Lin, et al.. (2020). Smaller left hippocampal subfield CA1 volume is associated with reported childhood physical and/or sexual abuse in major depression: A pilot study. Journal of Affective Disorders. 272. 348–354. 14 indexed citations
17.
Wang, Zuxing, Hongru Zhu, Minlan Yuan, et al.. (2020). The resting-state functional connectivity of amygdala subregions associated with post-traumatic stress symptom and sleep quality in trauma survivors. European Archives of Psychiatry and Clinical Neuroscience. 271(6). 1053–1064. 8 indexed citations
18.
Zhu, Hongru, Yuchen Li, Minlan Yuan, et al.. (2019). Increased functional segregation of brain network associated with symptomatology and sustained attention in chronic post-traumatic stress disorder. Journal of Affective Disorders. 247. 183–191. 21 indexed citations
19.
Yuan, Minlan, Changjian Qiu, Yajing Meng, et al.. (2018). Pre-treatment Resting-State Functional MR Imaging Predicts the Long-Term Clinical Outcome After Short-Term Paroxtine Treatment in Post-traumatic Stress Disorder. Frontiers in Psychiatry. 9. 532–532. 25 indexed citations
20.
Zhao, Youjin, Lizhou Chen, Wenjing Zhang, et al.. (2017). Gray Matter Abnormalities in Non-comorbid Medication-naive Patients with Major Depressive Disorder or Social Anxiety Disorder. EBioMedicine. 21. 228–235. 89 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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