Chun Yang

956 total citations
31 papers, 665 citations indexed

About

Chun Yang is a scholar working on Pharmacology, Toxicology and Molecular Biology. According to data from OpenAlex, Chun Yang has authored 31 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 6 papers in Toxicology and 5 papers in Molecular Biology. Recurrent topics in Chun Yang's work include Pharmacovigilance and Adverse Drug Reactions (6 papers), Platelet Disorders and Treatments (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Chun Yang is often cited by papers focused on Pharmacovigilance and Adverse Drug Reactions (6 papers), Platelet Disorders and Treatments (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Chun Yang collaborates with scholars based in China, United States and Taiwan. Chun Yang's co-authors include David J. Kuter, Michael T. Roberts, John A. Glaspy, Amy M. Bertino, Yuping Xia, Junzhi Li, Yan Chun Li, Tien‐Chun Chang, Tien‐Jyun Chang and Chenyi Liao and has published in prestigious journals such as Blood, Organic Letters and Journal of Alloys and Compounds.

In The Last Decade

Chun Yang

28 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun Yang China 8 351 142 127 110 98 31 665
Abbey Willcox Australia 5 274 0.8× 104 0.7× 259 2.0× 12 0.1× 68 0.7× 14 587
Katherine Chastain United States 13 201 0.6× 57 0.4× 273 2.1× 69 0.6× 52 0.5× 45 607
Margaret F. Veale Australia 15 288 0.8× 93 0.7× 96 0.8× 21 0.2× 58 0.6× 20 628
Z Zawadzki United States 16 219 0.6× 122 0.9× 257 2.0× 75 0.7× 150 1.5× 39 846
Songfu Jiang China 18 251 0.7× 205 1.4× 361 2.8× 47 0.4× 54 0.6× 61 861
Silvia Costantini Italy 16 195 0.6× 116 0.8× 191 1.5× 13 0.1× 287 2.9× 46 697
José A. López United States 10 237 0.7× 91 0.6× 161 1.3× 29 0.3× 46 0.5× 19 500
Philip J. Migliore United States 12 222 0.6× 70 0.5× 172 1.4× 50 0.5× 91 0.9× 17 556
F. Pontillon France 9 64 0.2× 126 0.9× 262 2.1× 90 0.8× 38 0.4× 11 606

Countries citing papers authored by Chun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chun Yang. A scholar is included among the top collaborators of Chun 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 Chun Yang. Chun 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
2.
Lin, Yuting, Yang Zhang, Liang Zhang, et al.. (2025). Neurotoxicity mechanisms of pyrethroids studied by network toxicology and molecular docking. Toxicology Mechanisms and Methods. 35(9). 1533–1546.
3.
Su, Fengyun, et al.. (2025). NOC2L inhibits trophoblast ferroptosis in preeclampsia through the p53/SLC7A11 pathway. Molecular and Cellular Endocrinology. 607. 112589–112589. 2 indexed citations
4.
Chen, Chunmei, Jian Cai, Chun Yang, et al.. (2025). Striasteroids A–C, Three Hybrid Steroids with Neuraminidase Inhibitory Activities from a Marine-Derived Striaticonidium cinctum. Organic Letters. 27(14). 3737–3741. 2 indexed citations
5.
Xia, Juan, Chun Yang, Dan Zheng, et al.. (2025). Engineering sulfur vacancies in NiCo2S4 flower-like structure to achieve exceptional peroxidase activity for advanced colorimetric biomedical diagnostics. Journal of Alloys and Compounds. 1030. 180924–180924. 4 indexed citations
6.
Yang, Chun, et al.. (2024). Detection and analysis of signals of adverse events of memantine based on the US food and drug administration adverse event reporting system. Expert Opinion on Drug Safety. 23(5). 617–625. 5 indexed citations
7.
Zhang, Lingzhi, Liang Shi, Yu Zeng, et al.. (2024). Signal detection and analysis of sulfasalazine adverse reaction events based on the US FDA adverse event reporting database. Expert Opinion on Drug Safety. 25(2). 325–335. 1 indexed citations
8.
Liu, Qian, Yanqin Sun, Chun Yang, et al.. (2024). Prenatal triphenyl phosphate exposure impairs placentation and induces preeclampsia-like symptoms in mice. Environmental Research. 257. 119159–119159. 3 indexed citations
9.
Zhang, Liang, Weijian Liang, Zhixin Chen, et al.. (2024). Metoprolol adverse events and literature analyses: case/non-case analyses using the FDA Adverse Event Reporting System (FAERS). Expert Opinion on Drug Safety. 25(3). 533–540. 3 indexed citations
10.
Zhong, Mingjun, et al.. (2024). Pharmacovigilance analysis of orlistat adverse events based on the FDA adverse event reporting system (FAERS) database. Heliyon. 10(14). e34837–e34837. 8 indexed citations
11.
Wang, Xiuzhu, et al.. (2024). A real‐world disproportionality analysis of semaglutide: Post‐marketing pharmacovigilance data. Journal of Diabetes Investigation. 15(10). 1422–1433. 7 indexed citations
12.
Guo, Xiaochun, et al.. (2024). A real-world disproportionality analysis of the FDA adverse event reporting system events for ibuprofen. Expert Opinion on Drug Safety. 24(2). 201–211. 2 indexed citations
13.
Zhu, Jinfeng, et al.. (2023). Global Status and Future Trends of Fascia and Pain Research in 2013–2022: Bibliometric Analysis Based on CiteSpace and VOSviewer. Journal of Pain Research. Volume 16. 2633–2653. 4 indexed citations
14.
Yang, Chun, et al.. (2022). To Explore the Molecular Mechanism of Acupuncture Alleviating Inflammation and Treating Obesity Based on Text Mining. BioMed Research International. 2022(1). 3133096–3133096. 5 indexed citations
15.
Guo, Jin, et al.. (2021). Study on the Mechanism of Acori Graminei Rhizoma in the Treatment of Alzheimer’s Disease Based on Network Pharmacology and Molecular Docking. BioMed Research International. 2021(1). 5418142–5418142. 4 indexed citations
16.
Yang, Chun, et al.. (2019). Anatomy of the Cun Position at Wrist and Its Application in Pulse Diagnosis. Evidence-based Complementary and Alternative Medicine. 2019. 1–7. 3 indexed citations
18.
Yang, Chun, et al.. (2015). Fascia and Primo Vascular System. Evidence-based Complementary and Alternative Medicine. 2015. 1–6. 12 indexed citations
19.
Yang, Chun, Dongfei Li, Jingxing Dai, et al.. (2010). Anti-aging effect of allografting adipose-derived stem cells in rats. Chieh P'ou Hsueh Pao. 41(1). 87–92. 1 indexed citations
20.
Yang, Chun, et al.. (1999). Demonstration of thyrotropin receptor mRNA in orbital fat and eye muscle tissues from patients with Graves’ ophthalmopathy by in situ hybridization. Journal of Endocrinological Investigation. 22(4). 289–295. 22 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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