Zhenghui Yi

3.4k total citations · 1 hit paper
114 papers, 2.3k citations indexed

About

Zhenghui Yi is a scholar working on Psychiatry and Mental health, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, Zhenghui Yi has authored 114 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Psychiatry and Mental health, 26 papers in Experimental and Cognitive Psychology and 25 papers in Cognitive Neuroscience. Recurrent topics in Zhenghui Yi's work include Schizophrenia research and treatment (39 papers), Mental Health Research Topics (20 papers) and Bipolar Disorder and Treatment (19 papers). Zhenghui Yi is often cited by papers focused on Schizophrenia research and treatment (39 papers), Mental Health Research Topics (20 papers) and Bipolar Disorder and Treatment (19 papers). Zhenghui Yi collaborates with scholars based in China, United States and Hong Kong. Zhenghui Yi's co-authors include Tieliu Shi, Meixia Zhang, Chengping Wen, Rui Xue, Fang Zhao, Yiru Fang, Zezhi Li, Qinyu Lv, Zhiguo Wu and Shunying Yu and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Zhenghui Yi

109 papers receiving 2.3k citations

Hit Papers

TCMID: traditional Chinese medicine integrative database ... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenghui Yi China 28 691 657 501 316 290 114 2.3k
Masaki Kato Japan 22 891 1.3× 506 0.8× 524 1.0× 285 0.9× 815 2.8× 123 2.5k
Hsien‐Yuan Lane Taiwan 28 645 0.9× 634 1.0× 496 1.0× 153 0.5× 288 1.0× 85 2.4k
Stefan Kloiber Germany 26 511 0.7× 387 0.6× 834 1.7× 298 0.9× 677 2.3× 96 2.9k
Sergi Mas Spain 25 530 0.8× 464 0.7× 230 0.5× 202 0.6× 130 0.4× 115 1.8k
A.J.M. Loonen Netherlands 26 916 1.3× 369 0.6× 286 0.6× 289 0.9× 251 0.9× 161 2.4k
Marina Šagud Croatia 27 664 1.0× 229 0.3× 504 1.0× 276 0.9× 278 1.0× 111 2.0k
Yoshio Yamanouchi Japan 32 564 0.8× 872 1.3× 367 0.7× 232 0.7× 197 0.7× 122 2.8k
Chiara Fabbri Italy 31 1.0k 1.5× 499 0.8× 900 1.8× 300 0.9× 1.2k 4.0× 155 3.1k
Hasan Herken Türkiye 32 1.4k 2.0× 520 0.8× 1.0k 2.1× 380 1.2× 317 1.1× 119 3.4k
Margaret Hahn Canada 32 1.2k 1.8× 652 1.0× 462 0.9× 189 0.6× 284 1.0× 148 2.9k

Countries citing papers authored by Zhenghui Yi

Since Specialization
Citations

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

Fields of papers citing papers by Zhenghui Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenghui Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenghui Yi. A scholar is included among the top collaborators of Zhenghui Yi 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 Zhenghui Yi. Zhenghui Yi 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.
Wang, Xingsong, Yao Zhang, Ping Wang, et al.. (2025). Altered Brain Network Dynamics in Schizophrenia Patients With Predominant Negative Symptoms: A Resting‐State fMRI Study Using Co‐Activation Pattern Analysis. Human Brain Mapping. 46(14). e70369–e70369. 1 indexed citations
3.
Hong, Wu, et al.. (2024). A case report of adolescent lactation due to the drug blonanserin. BMC Psychiatry. 24(1). 700–700.
4.
Zhang, Jianbiao, Chao Liu, Lingling Wang, et al.. (2024). A transdiagnostic approach of negative symptoms in psychiatric disorders: replication of a two-factor structure in major depressive disorder and bipolar disorder. European Archives of Psychiatry and Clinical Neuroscience. 275(4). 1197–1208. 3 indexed citations
5.
Kong, Li, Yao Zhang, Xiaoxiao Wang, et al.. (2024). The network characteristics in schizophrenia with prominent negative symptoms: a multimodal fusion study. SHILAP Revista de lepidopterología. 10(1). 10–10. 1 indexed citations
6.
Wang, Xiaoxiao, et al.. (2024). Prevalence and clinical correlates of benzodiazepine use in the patients with major depressive disorder. Journal of Affective Disorders. 363. 619–625. 4 indexed citations
8.
Hu, Hui‐xin, Chao Liu, Jianbiao Zhang, et al.. (2023). A transdiagnostic network analysis of motivation and pleasure, expressivity and social functioning. Nature Mental Health. 1(8). 586–595. 8 indexed citations
9.
Zhao, Na, Lei Ji, Decheng Ren, et al.. (2022). NGFR Gene and Single Nucleotide Polymorphisms, rs2072446 and rs11466162, Playing Roles in Psychiatric Disorders. Brain Sciences. 12(10). 1372–1372. 7 indexed citations
10.
Lin, Guan Ning, Weichen Song, Weidi Wang, et al.. (2022). De novo mutations identified by whole-genome sequencing implicate chromatin modifications in obsessive-compulsive disorder. Science Advances. 8(2). eabi6180–eabi6180. 12 indexed citations
11.
Hu, Hui‐xin, Qinyu Lv, Zhenghui Yi, et al.. (2021). Negative belief-updating bias for positive daily life events in individuals with schizophrenia and social anhedonia. Cognitive Neuropsychiatry. 27(4). 237–254. 6 indexed citations
12.
Yu, Shunying, Chengmei Yuan, Wu Hong, et al.. (2021). Gene expression signatures differentiating major depressive disorder from subsyndromal symptomatic depression. Aging. 13(9). 13124–13137. 6 indexed citations
13.
Ji, Lei, Decheng Ren, Liangjie Liu, et al.. (2021). A study of negative life events driven depressive symptoms and academic engagement in Chinese college students. Scientific Reports. 11(1). 17160–17160. 28 indexed citations
14.
Rollins, Colleen, Jane Garrison, Aida Seyedsalehi, et al.. (2020). Evidence in cortical folding patterns for prenatal predispositions to hallucinations in schizophrenia. Translational Psychiatry. 10(1). 387–387. 19 indexed citations
15.
Li, Xu, Qinyu Lv, Hui‐xin Hu, et al.. (2019). The remediation effects of working memory training in schizophrenia patients with prominent negative symptoms. Cognitive Neuropsychiatry. 24(6). 434–453. 8 indexed citations
16.
Li, Zezhi, Zuowei Wang, Chen Zhang, et al.. (2017). Reduced ENA78 levels as novel biomarker for major depressive disorder and venlafaxine efficiency: Result from a prospective longitudinal study. Psychoneuroendocrinology. 81. 113–121. 27 indexed citations
17.
Yuan, Chengmei, Jia Huang, Keming Gao, et al.. (2014). Validation of the Chinese Version of the Short TEMPS-A and its application in patients with mood disorders. Journal of Affective Disorders. 170. 178–184. 13 indexed citations
18.
Yi, Zhenghui, Zezhi Li, Shunying Yu, et al.. (2012). Blood-Based Gene Expression Profiles Models for Classification of Subsyndromal Symptomatic Depression and Major Depressive Disorder. PLoS ONE. 7(2). e31283–e31283. 72 indexed citations
19.
Wu, Zhiguo, Jun Chen, Chengmei Yuan, et al.. (2010). Clinical characteristics of treatment-resistant depression with and without anxious features. Chin J Psychiatry. 43(4). 196–200. 1 indexed citations
20.
Hirabayashi, Kenichi, et al.. (1997). [Current status of HIV infection in Yunnan Province of China].. PubMed. 44(5). 400–10. 1 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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