Suhua Chang

2.7k total citations · 1 hit paper
71 papers, 1.7k citations indexed

About

Suhua Chang is a scholar working on Cognitive Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Suhua Chang has authored 71 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 23 papers in Molecular Biology and 18 papers in Genetics. Recurrent topics in Suhua Chang's work include Functional Brain Connectivity Studies (17 papers), Attention Deficit Hyperactivity Disorder (14 papers) and Genetic Associations and Epidemiology (11 papers). Suhua Chang is often cited by papers focused on Functional Brain Connectivity Studies (17 papers), Attention Deficit Hyperactivity Disorder (14 papers) and Genetic Associations and Epidemiology (11 papers). Suhua Chang collaborates with scholars based in China, United States and Romania. Suhua Chang's co-authors include Liyuan Guo, Kunlin Zhang, Weina Zhang, Jing Wang, D. O. Kim, Lin Lü, Jing Wang, Yanping Bao, Jianyu Que and Le Shi and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Suhua Chang

68 papers receiving 1.7k citations

Hit Papers

Peripheral cytokine levels and response to antidepressant... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Peripheral cytokine levels and response to antidepressant treatment in depression: a systematic review and meta-analysis
    2019 316 citations Jia Jia Liu, Ya Bin Wei et al. Molecular Psychiatry profile →

Peers

Suhua Chang
Michael J. McCarthy United States
Hanna E. Stevens United States
Jason Bruggemann Australia
Spiro P. Pantazatos United States
Luxian Lv China
Araceli Rosa Spain
Shunying Yu China
Maryanne O׳Donnell Australia
Xiufeng Xu China
Detlef E. Dietrich Germany
Michael J. McCarthy United States
Suhua Chang
Citations per year, relative to Suhua Chang Suhua Chang (= 1×) peers Michael J. McCarthy

Countries citing papers authored by Suhua Chang

Since Specialization
Citations

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

Fields of papers citing papers by Suhua Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhua Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Suhua Chang. A scholar is included among the top collaborators of Suhua Chang 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 Suhua Chang. Suhua Chang 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.
Jia, Tianye, Xiao Lin, Yanping Bao, et al.. (2025). Unveiling causal relationship between white matter tracts and psychiatric disorders. Communications Biology. 8(1). 1221–1221. 9 indexed citations
2.
Tian, Shanshan, et al.. (2025). Healthy lifestyle and risk of incidence, mortality and life expectancy of mental disorders. Journal of Affective Disorders. 388. 119592–119592.
3.
Pang, Tao, et al.. (2024). Novel genetic loci of inhibitory control in ADHD and healthy children and genetic correlations with ADHD. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 132. 110988–110988. 1 indexed citations
4.
Chang, Suhua, Tao Pang, Anyi Zhang, et al.. (2024). Whole-genome sequencing identifies novel genes for autism in Chinese trios. Science China Life Sciences. 67(11). 2368–2381. 1 indexed citations
5.
Chen, Wei, et al.. (2023). Ocular and neural genes jointly regulate the visuospatial working memory in ADHD children. Behavioral and Brain Functions. 19(1). 14–14. 1 indexed citations
6.
Yuan, Ze, Lin Xiao, Peng Li, et al.. (2023). The neural correlation of emotion recognition ability and depressive symptoms–evidence from the HCP database. Frontiers in Psychiatry. 13. 1090369–1090369. 5 indexed citations
7.
Wang, Ning, Jing Sun, Tao Pang, et al.. (2022). DNA Methylation Markers and Prediction Model for Depression and Their Contribution for Breast Cancer Risk. Frontiers in Molecular Neuroscience. 15. 845212–845212. 3 indexed citations
8.
Zhou, Hang, Rasmon Kalayasiri, Yan Sun, et al.. (2022). Genome-wide meta-analysis of alcohol use disorder in East Asians. Neuropsychopharmacology. 47(10). 1791–1797. 17 indexed citations
9.
Zhu, Ximei, Suhua Chang, Yanping Bao, et al.. (2022). Somatic symptoms mediate the association between subclinical anxiety and depressive symptoms and its neuroimaging mechanisms. BMC Psychiatry. 22(1). 835–835. 12 indexed citations
10.
Chang, Suhua, Li Yang, Yufeng Wang, & Stephen V. Faraone. (2020). Shared polygenic risk for ADHD, executive dysfunction and other psychiatric disorders. Translational Psychiatry. 10(1). 182–182. 33 indexed citations
11.
Yang, Binrang, Yi Su, Ying Qian, et al.. (2020). The Association with Quantitative Response to Attention-Deficit/Hyperactivity Disorder Medication of the Previously Identified Neurodevelopmental Network Genes. Journal of Child and Adolescent Psychopharmacology. 30(6). 348–354. 13 indexed citations
12.
Liu, Jia Jia, Ya Bin Wei, Rebecca Strawbridge, et al.. (2019). Peripheral cytokine levels and response to antidepressant treatment in depression: a systematic review and meta-analysis. Molecular Psychiatry. 25(2). 339–350. 316 indexed citations breakdown →
13.
Sun, Yan, Suhua Chang, Zhen Liu, et al.. (2019). Identification of novel risk loci with shared effects on alcoholism, heroin, and methamphetamine dependence. Molecular Psychiatry. 26(4). 1152–1161. 28 indexed citations
14.
Qu, Susu, Yang Du, Suhua Chang, et al.. (2017). Common variants near IKZF1 are associated with primary Sjögren's syndrome in Han Chinese. PLoS ONE. 12(5). e0177320–e0177320. 20 indexed citations
15.
16.
Wang, Jinglu, Susu Qu, Weixiao Wang, et al.. (2016). A combined analysis of genome-wide expression profiling of bipolar disorder in human prefrontal cortex. Journal of Psychiatric Research. 82. 23–29. 6 indexed citations
17.
Chang, Suhua, et al.. (2015). Network-Based Analysis of Schizophrenia Genome-Wide Association Data to Detect the Joint Functional Association Signals. PLoS ONE. 10(7). e0133404–e0133404. 32 indexed citations
18.
Gao, Lei, et al.. (2014). Association of Interleukin-10 Polymorphisms with Schizophrenia: A Meta-Analysis. PLoS ONE. 9(3). e90407–e90407. 35 indexed citations
19.
Zhang, Jiajie, Amir Madany Mamlouk, Thomas Martinetz, et al.. (2011). PhyloMap: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus genome. BMC Bioinformatics. 12(1). 248–248. 20 indexed citations
20.

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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