Shuming Zhong

3.6k total citations
107 papers, 2.4k citations indexed

About

Shuming Zhong is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shuming Zhong has authored 107 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cognitive Neuroscience, 47 papers in Psychiatry and Mental health and 33 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shuming Zhong's work include Functional Brain Connectivity Studies (53 papers), Bipolar Disorder and Treatment (41 papers) and Advanced MRI Techniques and Applications (20 papers). Shuming Zhong is often cited by papers focused on Functional Brain Connectivity Studies (53 papers), Bipolar Disorder and Treatment (41 papers) and Advanced MRI Techniques and Applications (20 papers). Shuming Zhong collaborates with scholars based in China, United States and Czechia. Shuming Zhong's co-authors include Yanbin Jia, Ying Wang, Li Huang, Shunkai Lai, Guanmao Chen, Xiaoxiao Liao, Yanbin Jia, Tingting He, Tao Liu and Jian Chen and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Shuming Zhong

98 papers receiving 2.4k citations

Peers

Shuming Zhong
Yanbin Jia China
Giuseppe Delvecchio Italy
Toshikazu Ikuta United States
Luciano Minuzzi Canada
Nils Opel Germany
Eric Plitman Canada
Lianne Schmaal Australia
Isabel Valli United Kingdom
Yun‐Ai Su China
Benjamin Flores United States
Yanbin Jia China
Shuming Zhong
Citations per year, relative to Shuming Zhong Shuming Zhong (= 1×) peers Yanbin Jia

Countries citing papers authored by Shuming Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Shuming Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuming Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Shuming Zhong. A scholar is included among the top collaborators of Shuming Zhong 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 Shuming Zhong. Shuming Zhong 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.
Guo, Zixuan, Xinyue Tang, Shuming Zhong, et al.. (2025). Vortioxetine Improves Brain Glymphatic System Function, Functional Connectivity, and Cognitive Functions in Major Depressive Disorder. Depression and Anxiety. 2025(1). 1990117–1990117.
3.
Wu, Yingchao, Shuming Zhong, Ying Wang, et al.. (2025). Cognitive and metabolic signatures of early and late-onset depression: A comparative study. Journal of Affective Disorders. 379. 10–18. 1 indexed citations
4.
Zhong, Shuming, Jia-Li He, Yingchao Wu, et al.. (2024). The differences in testosterone and stress hormones between unipolar and bipolar depression in adolescents and adults. Psychoneuroendocrinology. 172. 107227–107227. 2 indexed citations
5.
Xiao, Shu, Hong Yan, Guanmao Chen, et al.. (2024). Gut proinflammatory bacteria is associated with abnormal functional connectivity of hippocampus in unmedicated patients with major depressive disorder. Translational Psychiatry. 14(1). 292–292. 13 indexed citations
6.
Lü, Xiaodan, Shunkai Lai, Ying Wang, et al.. (2023). Biochemical metabolism in the anterior cingulate cortex and cognitive function in major depressive disorder with or without insomnia syndrome. Journal of Affective Disorders. 335. 256–263. 7 indexed citations
7.
Lai, Shunkai, et al.. (2023). The effect of exogenous estrogen on depressive mood in women: A systematic review and meta-analysis of randomized controlled trials. Journal of Psychiatric Research. 162. 21–29. 18 indexed citations
8.
Zhong, Hui, Yiliang Zhang, Jie Yin, et al.. (2023). Personality traits as predictors for treatment response to sertraline among unmedicated obsessive-compulsive Disorder: A 12-weeks retrospective longitudinal study. Journal of Psychiatric Research. 170. 245–252. 1 indexed citations
9.
Zhong, Shuming, Xuanjun Liu, Shunkai Lai, et al.. (2021). Childhood trauma history is linked to abnormal brain metabolism of non-medicated adult patients with major depressive disorder. Journal of Affective Disorders. 302. 101–109. 14 indexed citations
10.
Zhong, Shuming, Shunkai Lai, Tingting He, et al.. (2021). Correlations Between Working Memory Impairment and Neurometabolites of the Prefrontal Cortex in Drug-Naive Obsessive-Compulsive Disorder. Neuropsychiatric Disease and Treatment. Volume 17. 2647–2657. 6 indexed citations
11.
Zhao, Lianping, Guanmao Chen, Yanbin Jia, et al.. (2019). Alteration of Red Nucleus Microstructure in Depressive Bipolar II Disorder and Unipolar Depression: A Diffusion Kurtosis and Perfusion Imaging Study. Neuropsychiatry. 9(1). 2 indexed citations
12.
Zhang, Yiliang, Shuming Zhong, & Shunkai Lai. (2019). The brain imaging mechanisms of visual cognitive impairment in depression. Zhonghua xingwei yixue yu naokexue zazhi. 28(10). 951–955. 1 indexed citations
13.
Liu, Xuanjun, Shuming Zhong, Junhao Chen, et al.. (2019). Serum copper and zinc levels correlate with biochemical metabolite ratios in the prefrontal cortex and lentiform nucleus of patients with major depressive disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 99. 109828–109828. 25 indexed citations
14.
Wang, Junjing, Ying Wang, Huiyuan Huang, et al.. (2019). Abnormal dynamic functional network connectivity in unmedicated bipolar and major depressive disorders based on the triple-network model. Psychological Medicine. 50(3). 465–474. 95 indexed citations
15.
16.
Chen, Guanmao, Lianping Zhao, Yanbin Jia, et al.. (2017). Functional connectivity strengths in unmedicated patients with major depressive disorder: a resting-state functional magnetic resonance imaging study. Chin J Psychiatry. 50(5). 377–382. 1 indexed citations
17.
Zhao, Lianping, Ying Wang, Yanbin Jia, et al.. (2017). Altered interhemispheric functional connectivity in remitted bipolar disorder: A Resting State fMRI Study. Scientific Reports. 7(1). 4698–4698. 26 indexed citations
18.
Lai, Shunkai, Shuming Zhong, Xiaoxiao Liao, et al.. (2017). Biochemical abnormalities in basal ganglia and executive dysfunction in acute- and euthymic-episode patients with bipolar disorder: A proton magnetic resonance spectroscopy study. Journal of Affective Disorders. 225. 108–116. 19 indexed citations
19.
Zhong, Shuming, Ying Wang, Guoxiang Zhao, et al.. (2014). Similarities of biochemical abnormalities between major depressive disorder and bipolar depression: A proton magnetic resonance spectroscopy study. Journal of Affective Disorders. 168. 380–386. 52 indexed citations
20.
Jia, Yanbin, Ying Wang, Shuming Zhong, et al.. (2012). A 1H magnetic resonance spectroscopy imaging study on the prefrontal lobe and hippocampus in patients with bipolar depressive disorder. 38(6). 358–362. 2 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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