Chang-Jiang Yang

952 total citations · 1 hit paper
22 papers, 652 citations indexed

About

Chang-Jiang Yang is a scholar working on Cognitive Neuroscience, Physiology and Clinical Psychology. According to data from OpenAlex, Chang-Jiang Yang has authored 22 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 9 papers in Physiology and 6 papers in Clinical Psychology. Recurrent topics in Chang-Jiang Yang's work include Autism Spectrum Disorder Research (9 papers), Pain Mechanisms and Treatments (6 papers) and Genetics and Neurodevelopmental Disorders (4 papers). Chang-Jiang Yang is often cited by papers focused on Autism Spectrum Disorder Research (9 papers), Pain Mechanisms and Treatments (6 papers) and Genetics and Neurodevelopmental Disorders (4 papers). Chang-Jiang Yang collaborates with scholars based in China and United Kingdom. Chang-Jiang Yang's co-authors include Yijie Du, Yue Wang, Jin Ye, Gen-Cheng Wu, Wen‐Li Mi, Qi‐Liang Mao‐Ying, Biao Sang, Yanqing Wang, Xiaomei Zhu and Xiaowei Wang and has published in prestigious journals such as Neuroscience, Journal of Autism and Developmental Disorders and Psychoneuroendocrinology.

In The Last Decade

Chang-Jiang Yang

21 papers receiving 642 citations

Hit Papers

Prevalence of attention-deficit/hyperactivity disorder in... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang-Jiang Yang China 14 232 188 152 94 76 22 652
Carlos Cruz-Fuentes Mexico 14 242 1.0× 99 0.5× 68 0.4× 130 1.4× 72 0.9× 29 958
Sharon K. Hunter United States 19 201 0.9× 124 0.7× 42 0.3× 102 1.1× 110 1.4× 41 875
Matteo Chiappedi Italy 19 279 1.2× 367 2.0× 96 0.6× 231 2.5× 142 1.9× 81 1.0k
Shrujna Patel Australia 12 194 0.8× 147 0.8× 45 0.3× 101 1.1× 123 1.6× 29 893
Sharon Smile Canada 8 181 0.8× 186 1.0× 52 0.3× 116 1.2× 182 2.4× 18 586
Chul Na South Korea 9 178 0.8× 133 0.7× 66 0.4× 95 1.0× 67 0.9× 11 686
Burak Baykara Türkiye 13 245 1.1× 231 1.2× 34 0.2× 184 2.0× 43 0.6× 52 569
Shuping Tan China 14 169 0.7× 182 1.0× 59 0.4× 54 0.6× 48 0.6× 58 626
Pamela B. Mahon United States 13 156 0.7× 250 1.3× 81 0.5× 154 1.6× 155 2.0× 25 902
Agnieszka Słopień Poland 15 107 0.5× 210 1.1× 84 0.6× 315 3.4× 26 0.3× 76 678

Countries citing papers authored by Chang-Jiang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Jiang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang-Jiang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Jiang Yang. A scholar is included among the top collaborators of Chang-Jiang Yang 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 Chang-Jiang Yang. Chang-Jiang Yang 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
3.
Yang, Chang-Jiang, et al.. (2024). Can bumetanide be a miraculous medicine for autism spectrum disorder: Meta-analysis evidence from randomized controlled trials. Research in autism spectrum disorders. 114. 102363–102363. 3 indexed citations
4.
Yang, Chang-Jiang, et al.. (2024). Physical activity promotes brain development through serotonin during early childhood. Neuroscience. 554. 34–42. 13 indexed citations
5.
Yang, Chang-Jiang, et al.. (2024). Impact of COVID-19 on emotional and behavioral problems among preschool children: a meta-analysis. BMC Pediatrics. 24(1). 455–455. 1 indexed citations
6.
Yang, Chang-Jiang, et al.. (2022). The Impact of Children Behavior on Depressive Symptoms among Parents of Children with ASD: The Mediating Role of Mindfulness and Perceived Social Support. Journal of Mental Health Research in Intellectual Disabilities. 16(2). 92–113.
7.
Yang, Chang-Jiang, et al.. (2019). Validating the Repetitive Behavior Scale-Revised for Children in China Aged 3 to 8 with Autism Spectrum Disorder. Journal of Autism and Developmental Disorders. 49(12). 4941–4956. 10 indexed citations
8.
Yang, Chang-Jiang, et al.. (2019). Oxytocin therapy for core symptoms in autism spectrum disorder: An updated meta-analysis of randomized controlled trials. Research in autism spectrum disorders. 64. 63–75. 23 indexed citations
10.
Yang, Chang-Jiang, Heping Wang, Chunling Liu, et al.. (2015). The cortisol, serotonin and oxytocin are associated with repetitive behavior in autism spectrum disorder. Research in autism spectrum disorders. 18. 12–20. 27 indexed citations
11.
Yang, Chang-Jiang, et al.. (2014). The combined role of serotonin and interleukin-6 as biomarker for autism. Neuroscience. 284. 290–296. 64 indexed citations
12.
Du, Yijie, Chang-Jiang Yang, Bei Li, et al.. (2014). Association of pro-inflammatory cytokines, cortisol and depression in patients with chronic obstructive pulmonary disease. Psychoneuroendocrinology. 46. 141–152. 40 indexed citations
13.
Yang, Chang-Jiang, et al.. (2014). The developmental disruptions of serotonin signaling may involved in autism during early brain development. Neuroscience. 267. 1–10. 100 indexed citations
14.
Han, Ping, Jian‐Lan Zhao, Chang-Jiang Yang, et al.. (2013). Interleukin-33 mediates formalin-induced inflammatory pain in mice. Neuroscience. 241. 59–66. 28 indexed citations
15.
Li, Bing, Chang-Jiang Yang, Na Yue, et al.. (2013). Clomipramine reverses hypoalgesia/hypoesthesia and improved depressive-like behaviors induced by inescapable shock in rats. Neuroscience Letters. 541. 227–232. 15 indexed citations
16.
Mao‐Ying, Qi‐Liang, Xiaowei Wang, Chang-Jiang Yang, et al.. (2012). Robust spinal neuroinflammation mediates mechanical allodynia in Walker 256 induced bone cancer rats. Molecular Brain. 5(1). 16–16. 65 indexed citations
17.
Yang, Chang-Jiang, Qian Li, Gen-Cheng Wu, Yanqing Wang, & Qi‐Liang Mao‐Ying. (2012). A practical model of osteomyelitis-induced bone pain by intra-tibial injection of Staphylococcus aureus in rats. Neuroscience Letters. 513(2). 198–203. 9 indexed citations
18.
Wang, Xiaowei, Shan Hu, Qi‐Liang Mao‐Ying, et al.. (2012). Activation of c-jun N-terminal kinase in spinal cord contributes to breast cancer induced bone pain in rats. Molecular Brain. 5(1). 21–21. 28 indexed citations
19.
Mi, Wen‐Li, Qi‐Liang Mao‐Ying, Xiaowei Wang, et al.. (2011). Involvement of Spinal Neurotrophin-3 in Electroacupuncture Analgesia and Inhibition of Spinal Glial Activation in Rat Model of Monoarthritis. Journal of Pain. 12(9). 974–984. 37 indexed citations
20.
Yang, Chang-Jiang, et al.. (2010). A rat model of bone inflammation-induced pain by intra-tibial complete Freund's adjuvant injection. Neuroscience Letters. 490(3). 175–179. 7 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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