Wanjun Guo

158 papers receiving 6.0k citations

Wanjun Guo's Hit Papers

Prevalence of depressive disorders and treatment in China: a cross-sectional epidemiological study 2021 · 584 citations
5840+2+4Years since publication50010001.5k

Peers

Wanjun Guo
Comparison fields: 5 of 181
  • Biological Psychiatry 326
  • Behavioral Neuroscience 189
  • Psychiatry and Mental health 663
  • Clinical Psychology 866
  • Cognitive Neuroscience 704
Replace Le Shi with:
Le Shi China
Anders Gustavsson Sweden
Caroline Bell New Zealand
Hongjun Tian China
Bing Qing Cao China
Bernardo Carpiniello Italy
Fu‐Jun Jia China
Xiangdong Du China
Yaqin Yu China
Manon H. J. Hillegers Netherlands
Wanjun Guo relative to Le Shi China Le Shi's profile →
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Countries citing papers authored by Wanjun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Wanjun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wanjun Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wanjun Guo Line = papers co-authored together Wanjun Guo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prevalence of mental disorders in China: a cross-sectional epidemiological study
Hit paper breakdown →
20191724
2
Prevalence of depressive disorders and treatment in China: a cross-sectional epidemiological study
Hit paper breakdown →
2021584
3 2011327
4 2015190
5 2014161
6 2015128
7 2012127
8 2009114
9 201099
10 201598
11 201588
12 201871
13 202169
14 201467
15 201566
16 201461
17 202060
18 201655
19 202053
20 202152

About Wanjun Guo

Wanjun Guo is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Biological Psychiatry, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging, having authored 166 papers that have together received 6.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (32 papers), Schizophrenia research and treatment (18 papers), Mental Health Treatment and Access (14 papers), Advanced Neuroimaging Techniques and Applications (14 papers), Tryptophan and brain disorders (11 papers), Bipolar Disorder and Treatment (9 papers), Mental Health Research Topics (9 papers) and Substance Abuse Treatment and Outcomes (8 papers). The work is most often cited by research in Biological Psychiatry (326 citations), Behavioral Neuroscience (189 citations), Psychiatry and Mental health (663 citations), Clinical Psychology (866 citations) and Cognitive Neuroscience (704 citations). Wanjun Guo has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Laihong Shen, Tao Li, Jun Xiao, Wei Deng, Xiaohong Ma, Tao Song, Huijun Ge, Yajing Meng, Tingting Qu and Kun Zhao. Their work appears in journals such as Journal of Affective Disorders, Frontiers in Psychiatry, BMC Psychiatry, Psychological Medicine and Schizophrenia Research.

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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