Zhaowen Liu

1.9k total citations
37 papers, 882 citations indexed

About

Zhaowen Liu is a scholar working on Cognitive Neuroscience, Molecular Biology and Experimental and Cognitive Psychology. According to data from OpenAlex, Zhaowen Liu has authored 37 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 11 papers in Molecular Biology and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Zhaowen Liu's work include Functional Brain Connectivity Studies (15 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Mental Health Research Topics (6 papers). Zhaowen Liu is often cited by papers focused on Functional Brain Connectivity Studies (15 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Mental Health Research Topics (6 papers). Zhaowen Liu collaborates with scholars based in China, United States and United Kingdom. Zhaowen Liu's co-authors include Jianfeng Feng, Ye Yao, Wei Cheng, Kai Zhang, Junying Zhang, Keith M. Kendrick, Shouheng Tuo, Guangming Lu, Benjamin Becker and Jie Zhang and has published in prestigious journals such as Circulation, Nature Communications and Journal of Neuroscience.

In The Last Decade

Zhaowen Liu

34 papers receiving 874 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhaowen Liu China 15 527 205 143 123 87 37 882
Stuart Oldham Australia 14 682 1.3× 160 0.8× 257 1.8× 110 0.9× 106 1.2× 25 1.1k
Junjie Zheng China 13 584 1.1× 141 0.7× 274 1.9× 103 0.8× 165 1.9× 61 832
John A. Hansen United States 7 448 0.9× 190 0.9× 84 0.6× 91 0.7× 152 1.7× 12 984
Dani S. Bassett United States 20 683 1.3× 147 0.7× 188 1.3× 85 0.7× 154 1.8× 81 1.1k
Samir Das Canada 11 608 1.2× 80 0.4× 246 1.7× 67 0.5× 150 1.7× 25 966
Patrick Sleiman United States 10 314 0.6× 112 0.5× 140 1.0× 157 1.3× 148 1.7× 16 719
Kenia Martínez Spain 20 637 1.2× 431 2.1× 149 1.0× 38 0.3× 147 1.7× 37 925
Zhaoxin Wang China 20 346 0.7× 110 0.5× 116 0.8× 370 3.0× 85 1.0× 70 1.2k
Eric Earl United States 18 504 1.0× 131 0.6× 265 1.9× 291 2.4× 120 1.4× 41 1.2k
Yu Yong Choi South Korea 8 346 0.7× 171 0.8× 123 0.9× 56 0.5× 69 0.8× 22 571

Countries citing papers authored by Zhaowen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zhaowen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaowen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaowen Liu. A scholar is included among the top collaborators of Zhaowen Liu 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 Zhaowen Liu. Zhaowen Liu 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.
Lee, Young A, Yingzhe Zhang, Chris J. Kennedy, et al.. (2024). Enhancing Suicide Risk Prediction With Polygenic Scores in Psychiatric Emergency Settings: Prospective Study. SHILAP Revista de lepidopterología. 5. e58357–e58357.
3.
Yu, Gechang, Zhaowen Liu, Xinran Wu, et al.. (2023). Common and disorder-specific cortical thickness alterations in internalizing, externalizing and thought disorders during early adolescence: an Adolescent Brain and Cognitive Development study. Journal of Psychiatry and Neuroscience. 48(5). E345–E356. 7 indexed citations
4.
5.
Liu, Zhaowen, Xinran Wu, Gechang Yu, et al.. (2023). Decoding anxiety–impulsivity subtypes in preadolescent internalising disorders: findings from the Adolescent Brain Cognitive Development study. The British Journal of Psychiatry. 223(6). 542–554. 8 indexed citations
6.
Grotzinger, Andrew D., Kritika Singh, Tyne W. Miller‐Fleming, et al.. (2023). Transcriptome-Wide Structural Equation Modeling of 13 Major Psychiatric Disorders for Cross-Disorder Risk and Drug Repurposing. JAMA Psychiatry. 80(8). 811–811. 12 indexed citations
7.
Gong, Jie, Long‐Biao Cui, Zhaowen Liu, et al.. (2022). The correlation between dynamic functional architecture and response to electroconvulsive therapy combined with antipsychotics in schizophrenia. European Journal of Neuroscience. 55(8). 2024–2036. 2 indexed citations
8.
Fatori, Daniel, Paulo Suen, Izio Klein, et al.. (2022). Trajectories of common mental disorders symptoms before and during the COVID-19 pandemic: findings from the ELSA-Brasil COVID-19 Mental Health Cohort. Social Psychiatry and Psychiatric Epidemiology. 57(12). 2445–2455. 7 indexed citations
9.
Wu, Xinran, Xiangzhen Kong, Deniz Vatansever, et al.. (2022). Dynamic changes in brain lateralization correlate with human cognitive performance. PLoS Biology. 20(3). e3001560–e3001560. 32 indexed citations
10.
Liu, Renhe, Longwei Qiu, Qingchun Li, et al.. (2022). Source-to-sink analysis of Mesozoic–Cenozoic sandstone-type uranium deposits in the Qaidam Basin. Ore Geology Reviews. 149. 105049–105049. 5 indexed citations
11.
Zhang, Lu, Qunjie Zhou, Zhaowen Liu, et al.. (2021). Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age. NeuroImage. 237. 118188–118188. 5 indexed citations
12.
Du, Jingnan, Lena Palaniyappan, Zhaowen Liu, et al.. (2021). The genetic determinants of language network dysconnectivity in drug-naïve early stage schizophrenia. Schizophrenia. 7(1). 18–18. 22 indexed citations
13.
Wang, Zhiwei, Yilin Liu, Zhaowen Liu, et al.. (2020). MECP2 Duplication Causes Aberrant GABA Pathways, Circuits and Behaviors in Transgenic Monkeys: Neural Mappings to Patients with Autism. Journal of Neuroscience. 40(19). 3799–3814. 25 indexed citations
14.
Cheng, Wei, Edmund T. Rolls, Trevor W. Robbins, et al.. (2019). Decreased brain connectivity in smoking contrasts with increased connectivity in drinking. eLife. 8. 38 indexed citations
15.
Zhang, Junying, et al.. (2019). Stratification of Breast Cancer by Integrating Gene Expression Data and Clinical Variables. Molecules. 24(3). 631–631. 9 indexed citations
16.
Liu, Zhaowen, Edmund T. Rolls, Zhi Liu, et al.. (2019). Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results. Bioinformatics. 35(19). 3771–3778. 34 indexed citations
17.
Liu, Zhaowen, Jie Zhang, Xiaohua Xie, et al.. (2018). Neural and genetic determinants of creativity. NeuroImage. 174. 164–176. 52 indexed citations
18.
Tuo, Shouheng, et al.. (2017). Niche harmony search algorithm for detecting complex disease associated high-order SNP combinations. Scientific Reports. 7(1). 11529–11529. 36 indexed citations
19.
Zhang, Junying, Xiguo Yuan, Zhaowen Liu, et al.. (2017). Network based stratification of major cancers by integrating somatic mutation and gene expression data. PLoS ONE. 12(5). e0177662–e0177662. 16 indexed citations
20.
Liu, Zhaowen, Junying Zhang, Xiguo Yuan, et al.. (2015). Detecting pan-cancer conserved microRNA modules from microRNA expression profiles across multiple cancers. Molecular BioSystems. 11(8). 2227–2237. 5 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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