Wenhao Jiang

2.1k total citations
49 papers, 484 citations indexed

About

Wenhao Jiang is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Wenhao Jiang has authored 49 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 11 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Psychiatry and Mental health. Recurrent topics in Wenhao Jiang's work include Functional Brain Connectivity Studies (26 papers), Mental Health Research Topics (10 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Wenhao Jiang is often cited by papers focused on Functional Brain Connectivity Studies (26 papers), Mental Health Research Topics (10 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Wenhao Jiang collaborates with scholars based in China, United States and Netherlands. Wenhao Jiang's co-authors include Yonggui Yuan, Zhenghua Hou, Yingying Yue, Zhijun Zhang, Yingying Yin, Yuqun Zhang, Xiamu Niu, Feng Bai, Liping Ji and Xiaopeng Song and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Wenhao Jiang

44 papers receiving 478 citations

Peers

Wenhao Jiang

PMH

ECP

RNMI

Alen Zamanyan United States

Mayur Pandya United States

Shuang Gao China

Richard Joules United Kingdom

Fang Han China

François Chouinard-Decorte Canada

Tong He Singapore

D. Rangaprakash United States

Howie Rosen United States

Alen Zamanyan United States

Wenhao Jiang

179 ×0.8

76 ×0.7

PMH

29 ×0.3

ECP

131 ×1.6

RNMI

31 ×0.6

Citations per year, relative to Wenhao Jiang Wenhao Jiang (= 1×) peers Alen Zamanyan

Countries citing papers authored by Wenhao Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Wenhao Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenhao Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Wenhao Jiang. A scholar is included among the top collaborators of Wenhao Jiang 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 Wenhao Jiang. Wenhao Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Xu, Zhi, Lei Chen, Tingting Tan, et al.. (2023). Escitalopram-induced QTc prolongation and its relationship with KCNQ1, KCNE1, and KCNH2 gene polymorphisms. Journal of Affective Disorders. 347. 399–405. 2 indexed citations

Duan, Kuaikuai, Jiayu Chen, Vince D. Calhoun, et al.. (2023). Genomic patterns linked to gray matter alterations underlying working memory deficits in adults and adolescents with attention-deficit/hyperactivity disorder. Translational Psychiatry. 13(1). 50–50. 3 indexed citations

Jiang, Wenhao, Fan Li, Xiaoyun Liu, et al.. (2023). Linking individual variability in functional brain connectivity to polygenic risk in major depressive disorder. Journal of Affective Disorders. 329. 55–63. 11 indexed citations

Zhou, Yue, et al.. (2023). Abnormal changes of dynamic topological characteristics in patients with major depressive disorder. Journal of Affective Disorders. 345. 349–357. 9 indexed citations

Chen, Suzhen, Yingying Yin, Yingying Yue, et al.. (2023). Integrating functional neuroimaging and serum proteins improves the diagnosis of major depressive disorder. Journal of Affective Disorders. 325. 421–428. 12 indexed citations

Hu, Changchun, et al.. (2023). Child maltreatment exposure and adolescent nonsuicidal self-injury: the mediating roles of difficulty in emotion regulation and depressive symptoms. Child and Adolescent Psychiatry and Mental Health. 17(1). 16–16. 24 indexed citations

Hu, Changchun, Wenhao Jiang, Mei Wang, et al.. (2023). Microstructural abnormalities of white matter in the cingulum bundle of adolescents with major depression and non-suicidal self-injury. Psychological Medicine. 54(6). 1113–1121. 7 indexed citations

Shan, Dandan, Linlin You, Meng Zhao, et al.. (2022). Serum metabolomic profiling revealed potential diagnostic biomarkers in patients with panic disorder. Journal of Affective Disorders. 323. 461–471. 5 indexed citations

Xu, Zhi, Tingting Tan, Wenhao Jiang, et al.. (2022). Combined HTR1A/1B methylation and human functional connectome to recognize patients with MDD. Psychiatry Research. 317. 114842–114842. 7 indexed citations

10.

Li, Yinghui, Yingying Yue, Suzhen Chen, et al.. (2022). Combined serum IL-6, C-reactive protein, and cortisol may distinguish patients with anhedonia in major depressive disorder. Frontiers in Molecular Neuroscience. 15. 935031–935031. 10 indexed citations

11.

Chen, Suzhen, Gang Chen, Yinghui Li, et al.. (2022). Predicting the diagnosis of various mental disorders in a mixed cohort using blood-based multi-protein model: a machine learning approach. European Archives of Psychiatry and Clinical Neuroscience. 273(6). 1267–1277. 8 indexed citations

12.

Jiang, Wenhao, et al.. (2020). Deep-Learning-Based Segmentation and Localization of White Matter Hyperintensities on Magnetic Resonance Images. Interdisciplinary Sciences Computational Life Sciences. 12(4). 438–446. 11 indexed citations

13.

Jiang, Wenhao, et al.. (2019). DEEP LEARNING ALGORITHMS TO AUTOMATE LEFT VENTRICULAR EJECTION FRACTION ASSESSMENTS ON 2-DIMENSIONAL ECHOCARDIOGRAPHY. Journal of the American College of Cardiology. 73(9). 1610–1610. 3 indexed citations

14.

Jiang, Wenhao, Ole A. Andreassen, Ingrid Agartz, et al.. (2019). Distinct structural brain circuits indicate mood and apathy profiles in bipolar disorder. NeuroImage Clinical. 26. 101989–101989. 3 indexed citations

15.

Duan, Kuaikuai, Jiayu Chen, Vince D. Calhoun, et al.. (2018). Neural correlates of cognitive function and symptoms in attention-deficit/hyperactivity disorder in adults. NeuroImage Clinical. 19. 374–383. 25 indexed citations

16.

Liu, Xiaoyun, Wenhao Jiang, & Yonggui Yuan. (2018). Aberrant Default Mode Network Underlying the Cognitive Deficits in the Patients With Late-Onset Depression. Frontiers in Aging Neuroscience. 10. 310–310. 13 indexed citations

17.

Hou, Zhenghua, Zan Wang, Wenhao Jiang, et al.. (2016). Divergent topological architecture of the default mode network as a pretreatment predictor of early antidepressant response in major depressive disorder. Scientific Reports. 6(1). 39243–39243. 20 indexed citations

18.

Hou, Zhenghua, Wenhao Jiang, Yingying Yin, Zhijun Zhang, & Yonggui Yuan. (2016). The Current Situation on Major Depressive Disorder in China: Research on Mechanisms and Clinical Practice. Neuroscience Bulletin. 32(4). 389–397. 26 indexed citations

19.

Chen, Suzhen, Na Lü, Yingying Yue, et al.. (2016). Reduced serum VGF levels were reversed by antidepressant treatment in depressed patients. The World Journal of Biological Psychiatry. 18(8). 586–591. 16 indexed citations

20.

Yin, Yingying, Xiaofu He, Mingze Xu, et al.. (2016). Structural and Functional Connectivity of Default Mode Network underlying the Cognitive Impairment in Late-onset Depression. Scientific Reports. 6(1). 37617–37617. 29 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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