Zhiguo Wu

2.8k total citations
106 papers, 1.9k citations indexed

About

Zhiguo Wu is a scholar working on Pharmacology, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Zhiguo Wu has authored 106 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pharmacology, 25 papers in Psychiatry and Mental health and 23 papers in Experimental and Cognitive Psychology. Recurrent topics in Zhiguo Wu's work include Treatment of Major Depression (28 papers), Mental Health Research Topics (18 papers) and Tryptophan and brain disorders (15 papers). Zhiguo Wu is often cited by papers focused on Treatment of Major Depression (28 papers), Mental Health Research Topics (18 papers) and Tryptophan and brain disorders (15 papers). Zhiguo Wu collaborates with scholars based in China, United States and Australia. Zhiguo Wu's co-authors include Yiru Fang, Chen Zhang, Daihui Peng, Wu Hong, Jun Chen, Zhenghui Yi, Chengmei Yuan, Shunying Yu, Zezhi Li and Zuowei Wang and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

Zhiguo Wu

103 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhiguo Wu China 28 460 428 345 341 301 106 1.9k
Robert Alexander United States 21 494 1.1× 395 0.9× 333 1.0× 381 1.1× 245 0.8× 68 3.0k
Stefano Baroni Italy 25 351 0.8× 288 0.7× 157 0.5× 222 0.7× 260 0.9× 125 2.0k
Earle Bain United States 22 504 1.1× 288 0.7× 336 1.0× 736 2.2× 349 1.2× 44 2.2k
Farzin Rezaei Iran 23 663 1.4× 423 1.0× 190 0.6× 169 0.5× 129 0.4× 91 1.5k
Fude Yang China 26 717 1.6× 461 1.1× 157 0.5× 470 1.4× 222 0.7× 146 2.4k
Jurjen J. Luykx Netherlands 26 726 1.6× 253 0.6× 182 0.5× 234 0.7× 166 0.6× 138 1.9k
Tzung Lieh Yeh Taiwan 28 920 2.0× 298 0.7× 266 0.8× 492 1.4× 278 0.9× 105 2.5k
Xiaogang Chen China 31 492 1.1× 331 0.8× 188 0.5× 1.1k 3.2× 477 1.6× 128 3.2k
Suresh Sundram Australia 26 608 1.3× 351 0.8× 447 1.3× 377 1.1× 93 0.3× 101 2.2k
Massimo Pasquini Italy 27 441 1.0× 445 1.0× 138 0.4× 220 0.6× 236 0.8× 103 2.3k

Countries citing papers authored by Zhiguo Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhiguo Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiguo Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiguo Wu. A scholar is included among the top collaborators of Zhiguo Wu 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 Zhiguo Wu. Zhiguo Wu 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
2.
Cai, Hong-Xin, Yu Zhang, Jingyu Wang, et al.. (2024). D-glucaro-1,4-lactone improves Diethylnitrosamine induced hepatocellular carcinoma in rats via the uric acid-ROS pathway. Journal of Ethnopharmacology. 334. 118569–118569. 4 indexed citations
3.
Wu, Zhiguo, Jun Wang, Chen Zhang, et al.. (2024). Clinical distinctions in symptomatology and psychiatric comorbidities between misdiagnosed bipolar I and bipolar II disorder versus major depressive disorder. BMC Psychiatry. 24(1). 352–352. 5 indexed citations
5.
Zhu, Yuncheng, Zhiguo Wu, Dongmei Zhao, et al.. (2023). Clinical Guideline (CANMAT 2016) Discordance of Medications for Patients with Major Depressive Disorder in China. Neuropsychiatric Disease and Treatment. Volume 19. 829–839. 1 indexed citations
6.
Shi, Yifan, Chen Zhang, David Mellor, et al.. (2023). Characteristics and symptomatology of major depressive disorder with atypical features from symptom to syndromal level. Journal of Affective Disorders. 333. 249–256. 1 indexed citations
7.
Cai, Yiyun, Zhiguo Wu, Yousong Su, et al.. (2023). Association between social withdrawal and suicidal ideation in patients with major depressive disorder: The mediational role of emotional symptoms. Journal of Affective Disorders. 347. 69–76. 7 indexed citations
8.
Wang, Yun, Zhiguo Wu, Daihui Peng, et al.. (2022). Age of onset for major depressive disorder and its association with symptomatology. Journal of Affective Disorders. 320. 682–690. 7 indexed citations
9.
Yang, Lu, Zhiguo Wu, Lan Cao, et al.. (2021). Predictors and moderators of quality of life in patients with major depressive disorder: An AGTs-MDD study report. Journal of Psychiatric Research. 138. 96–102. 4 indexed citations
10.
Wang, Fan, Yiming Chen, Dongbin Lyu, et al.. (2021). Difference in the regulation of biological rhythm symptoms of Major depressive disorder between escitalopram and mirtazapine. Journal of Affective Disorders. 296. 258–264. 4 indexed citations
11.
Huang, Leping, et al.. (2019). Relationship among depression, anxiety and social support in elderly patients from community outpatient clinic. Zhonghua xingwei yixue yu naokexue zazhi. 28(7). 580–585. 4 indexed citations
12.
13.
Wu, Zhiguo, Lan Cao, Daihui Peng, et al.. (2018). The clinical correlates of comorbid anxiety symptoms and syndromal anxiety in patients with major depressive disorder. Psychiatry Research. 269. 251–257. 19 indexed citations
14.
Hu, Yingyan, Wu Hong, Alicia K. Smith, et al.. (2017). Association analysis between mitogen-activated protein/extracellular signal-regulated kinase (MEK) gene polymorphisms and depressive disorder in the Han Chinese population. Journal of Affective Disorders. 222. 120–125. 6 indexed citations
15.
Zhang, Chen, Dengfeng Zhang, Zhiguo Wu, et al.. (2016). Complement factor H and susceptibility to major depressive disorder in Han Chinese. The British Journal of Psychiatry. 208(5). 446–452. 23 indexed citations
16.
Su, Yousong, Jun Chen, Yong Wang, et al.. (2016). A comparative study of the clinical features and thyroxine levels between bipolar patients with different first onset types. Chin J Psychiatry. 49(1). 42–46. 2 indexed citations
17.
Wu, Zhiguo, Lan Cao, Haozhe Li, et al.. (2015). Psychiatric comorbidities in patients with major depressive disorder and patients with bipolar II depression in a psychiatric setting. Chin J Psychiatry. 48(5). 266–270. 1 indexed citations
18.
Hong, Wu, Jinbo Fan, Chengmei Yuan, et al.. (2014). Significantly decreased mRNA levels of BDNF and MEK1 genes in treatment-resistant depression. Neuroreport. 25(10). 753–755. 29 indexed citations
19.
Shen, Ting, Meihui Qiu, Chao Li, et al.. (2014). Altered spontaneous neural activity in first-episode, unmedicated patients with major depressive disorder. Neuroreport. 25(16). 1302–1307. 20 indexed citations
20.
Shao, Yang, Bin Xie, & Zhiguo Wu. (2011). Psychiatrists’ attitudes towards the procedure of involuntary admission to mental hospitals in China. International Journal of Social Psychiatry. 58(4). 440–447. 16 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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