Zhenhe Zhou

1.8k total citations · 1 hit paper
86 papers, 1.2k citations indexed

About

Zhenhe Zhou is a scholar working on Cognitive Neuroscience, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Zhenhe Zhou has authored 86 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 23 papers in Molecular Biology and 19 papers in Psychiatry and Mental health. Recurrent topics in Zhenhe Zhou's work include Functional Brain Connectivity Studies (15 papers), Schizophrenia research and treatment (11 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (10 papers). Zhenhe Zhou is often cited by papers focused on Functional Brain Connectivity Studies (15 papers), Schizophrenia research and treatment (11 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (10 papers). Zhenhe Zhou collaborates with scholars based in China, United States and United Kingdom. Zhenhe Zhou's co-authors include Guozhen Yuan, Jianjun Yao, Hongliang Zhou, Haohao Zhu, Zaohuo Cheng, Fuquan Zhang, Jun Wang, Zhiqiang Du, Li Cui and Lin Tian and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Zhenhe Zhou

78 papers receiving 1.2k citations

Hit Papers

Targeting p53–MDM2 interaction by small-molecule inhibito... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenhe Zhou China 17 330 313 299 194 170 86 1.2k
Jing Lan China 19 440 1.3× 575 1.8× 186 0.6× 296 1.5× 156 0.9× 41 2.3k
Ying Zhu China 22 226 0.7× 220 0.7× 689 2.3× 89 0.5× 228 1.3× 72 2.2k
Dominique Maciejewski Netherlands 20 304 0.9× 121 0.4× 84 0.3× 553 2.9× 215 1.3× 51 2.4k
Qin Zhang China 22 326 1.0× 55 0.2× 401 1.3× 177 0.9× 256 1.5× 89 1.4k
Lizhuang Yang China 19 192 0.6× 135 0.4× 285 1.0× 61 0.3× 128 0.8× 58 899
Tianmin Zhu China 16 213 0.6× 190 0.6× 86 0.3× 84 0.4× 60 0.4× 71 695
Julie M. Wilson Canada 18 780 2.4× 57 0.2× 208 0.7× 175 0.9× 70 0.4× 57 2.1k
Shuyue Zhang China 15 160 0.5× 128 0.4× 152 0.5× 117 0.6× 70 0.4× 58 845
Wataru Ukai Japan 19 422 1.3× 183 0.6× 61 0.2× 131 0.7× 34 0.2× 49 1.3k
Fuchun Lin China 25 196 0.6× 335 1.1× 643 2.2× 127 0.7× 186 1.1× 58 1.8k

Countries citing papers authored by Zhenhe Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Zhenhe Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenhe Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenhe Zhou. A scholar is included among the top collaborators of Zhenhe Zhou 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 Zhenhe Zhou. Zhenhe Zhou 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.
Jiang, Ying, et al.. (2025). Multi-omics analysis reveals mechanisms of FMT in Enhancing antidepressant effects of SSRIs. Brain Behavior and Immunity. 126. 176–188. 2 indexed citations
2.
Lu, Zhe, Yaoyao Sun, Qijing Bo, et al.. (2025). Multi-omics reveal critical roles of phosphatidylcholine and sphingomyelin in antipsychotic efficacy for schizophrenia. Signal Transduction and Targeted Therapy. 10(1). 343–343.
3.
Wang, Jun, et al.. (2025). Unveiling distinct representations of P3a in schizophrenia through two-stimulus and three-stimulus auditory oddball paradigms. Schizophrenia Research. 277. 159–168. 2 indexed citations
4.
Zhou, Huimin, et al.. (2025). Multidimensional Analysis of Frailty and Its Influencing Factors in Hospitalized Elderly Stroke Patients. Clinical Interventions in Aging. Volume 20. 1741–1755.
5.
Zhou, Xiangjun, et al.. (2025). The impact of cortical and subcortical volumes on major depression risk: A genetic study. Journal of Affective Disorders. 374. 356–364. 1 indexed citations
8.
Mei, Qian, Qi Liu, Lu Hou, et al.. (2024). Neural Correlates of Cognitive Dysfunction in Conditional Reasoning in Schizophrenia: An Event-related Potential Study. Neuropsychiatric Disease and Treatment. Volume 20. 571–582. 1 indexed citations
9.
Hou, Lu, et al.. (2024). Two-Hour Nicotine Withdrawal Improves Inhibitory Control Dysfunction in Male Smokers: Evidence from a Smoking-Cued Go/No-Go Task ERP Study. Neuropsychiatric Disease and Treatment. Volume 20. 863–875. 4 indexed citations
10.
Zhu, Haohao, et al.. (2024). Aspirin may be more suitable for patients with major depression: Evidence from two-sample Mendelian randomization analysis. Journal of Psychopharmacology. 38(12). 1137–1146. 1 indexed citations
11.
Jiang, Ying, et al.. (2024). The role of gut microbiota and metabolomic pathways in modulating the efficacy of SSRIs for major depressive disorder. Translational Psychiatry. 14(1). 493–493. 13 indexed citations
12.
Wang, Jun, Nataliia Kozhemiako, Zhenglin Guo, et al.. (2023). F95. GENETIC CORRELATES OF SLEEP SPINDLE ABNORMALITIES IN SCHIZOPHRENIA. European Neuropsychopharmacology. 75. S271–S272. 1 indexed citations
13.
Zhu, Haohao, Qin Zhou, Yuan Shen, et al.. (2023). Causal relationship between sex hormone‐binding globulin and major depression: A Mendelian randomization study. Acta Psychiatrica Scandinavica. 148(5). 426–436. 8 indexed citations
14.
Yin, Jiajun, Juan Zhou, Fang Fang, et al.. (2023). Identification of VIPR2 rare and common variants in the Chinese Han population with schizophrenia. Frontiers in Molecular Neuroscience. 16. 1170708–1170708.
15.
Zhao, Xiaoyu, et al.. (2023). Hypoconnectivity within the cingulo‐opercular network in patients with mild cognitive impairment in Chinese communities. International Journal of Geriatric Psychiatry. 38(8). e5979–e5979. 3 indexed citations
16.
Wang, Shushan, et al.. (2021). CYP1A2 polymorphism may contribute to agomelatine-induced acute liver injury: Case report and review of the literature.. PubMed. 100(45). e27736–e27736. 6 indexed citations
17.
Zhou, Zhenhe, et al.. (2015). Treatment with escitalopram improves the attentional bias toward negative facial expressions in patients with major depressive disorders. Journal of Clinical Neuroscience. 22(10). 1609–1613. 9 indexed citations
18.
Zhang, Fuquan, Yong Xu, Yin Yao Shugart, et al.. (2014). Converging Evidence Implicates the Abnormal MicroRNA System in Schizophrenia. Schizophrenia Bulletin. 41(3). 728–735. 34 indexed citations
19.
Zhou, Zhenhe, Guozhen Yuan, Jianjun Yao, Cui Li, & Zaohuo Cheng. (2010). An event-related potential investigation of deficient inhibitory control in individuals with internet addiction disorder. Zhonghua xingwei yixue yu naokexue zazhi. 19(8). 701–703. 1 indexed citations
20.
Zhou, Zhenhe & Guozhen Yuan. (2009). Effect of treatment with quetiapine on mismatch negativity potentials in childhood and adolescent schizophrenia. Zhonghua xingwei yixue yu naokexue zazhi. 18(6). 508–510.

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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