Yingzi Chang

496 total citations
22 papers, 420 citations indexed

About

Yingzi Chang is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Yingzi Chang has authored 22 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Immunology and 6 papers in Surgery. Recurrent topics in Yingzi Chang's work include Protein Tyrosine Phosphatases (8 papers), Receptor Mechanisms and Signaling (6 papers) and Neuropeptides and Animal Physiology (6 papers). Yingzi Chang is often cited by papers focused on Protein Tyrosine Phosphatases (8 papers), Receptor Mechanisms and Signaling (6 papers) and Neuropeptides and Animal Physiology (6 papers). Yingzi Chang collaborates with scholars based in United States, Canada and China. Yingzi Chang's co-authors include Donald B. Hoover, Aviv Hassid, Bogdan Ceacareanu, Jacques Robidoux, Daming Zhuang, Chunxiang Zhang, Lili Zhang, Madhulika Dixit, Sreejayan Nair and John C. Hancock and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Circulation Research.

In The Last Decade

Yingzi Chang

21 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingzi Chang United States 14 242 96 84 67 65 22 420
Donald L. Fletcher United States 10 184 0.8× 107 1.1× 61 0.7× 134 2.0× 38 0.6× 14 485
Tetyana V. Pedchenko United States 14 256 1.1× 102 1.1× 59 0.7× 38 0.6× 156 2.4× 14 560
Elaine M. Smolock United States 15 257 1.1× 107 1.1× 33 0.4× 71 1.1× 59 0.9× 24 490
Zheng‐Da Pang China 13 225 0.9× 104 1.1× 28 0.3× 46 0.7× 40 0.6× 20 454
Talat Afroze Canada 12 261 1.1× 43 0.4× 31 0.4× 63 0.9× 71 1.1× 20 512
Mimi Adachi Japan 5 301 1.2× 64 0.7× 44 0.5× 65 1.0× 44 0.7× 6 580
Karim Nadra Switzerland 12 453 1.9× 63 0.7× 70 0.8× 71 1.1× 145 2.2× 16 733
Bin-Xian Zhang United States 12 222 0.9× 30 0.3× 60 0.7× 42 0.6× 105 1.6× 16 413
Ding-An Mao China 12 309 1.3× 65 0.7× 76 0.9× 89 1.3× 45 0.7× 32 609
Robert Monks United States 5 217 0.9× 75 0.8× 25 0.3× 44 0.7× 43 0.7× 6 472

Countries citing papers authored by Yingzi Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yingzi Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingzi Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yingzi Chang. A scholar is included among the top collaborators of Yingzi 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 Yingzi Chang. Yingzi 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.
Chang, Yingzi, et al.. (2022). Regulation of bFGF-induced effects on rat aortic smooth muscle cells by β3-adrenergic receptors. SHILAP Revista de lepidopterología. 3. 100094–100094. 3 indexed citations
3.
Chang, Yingzi, et al.. (2020). Systemic MCPIP1 deficiency in mice impairs lipid homeostasis. SHILAP Revista de lepidopterología. 1. 1–9. 2 indexed citations
4.
Ning, Huan, Qinghong Wang, Yingzi Chang, et al.. (2017). Monocyte chemotactic protein–induced protein 1 controls allergic airway inflammation by suppressing IL-5–producing TH2 cells through the Notch/Gata3 pathway. Journal of Allergy and Clinical Immunology. 142(2). 582–594.e10. 26 indexed citations
5.
Chang, Yingzi & Jacques Robidoux. (2017). Dyslipidemia management update. Current Opinion in Pharmacology. 33. 47–55. 39 indexed citations
6.
Tan, Xi, Jie Gao, Zhan Shi, et al.. (2016). MG132 Induces Expression of Monocyte Chemotactic Protein-Induced Protein 1 in Vascular Smooth Muscle Cells. Journal of Cellular Physiology. 232(1). 122–128. 5 indexed citations
8.
Zhang, Yue, Andrew J. Paterson, Jing Jiang, et al.. (2013). IGF-1R Modulation of Acute GH-Induced STAT5 Signaling: Role of Protein Tyrosine Phosphatase Activity. Molecular Endocrinology. 27(11). 1969–1979. 18 indexed citations
9.
Chang, Yingzi. (2011). A Central Role of PTP1B in Hyperinsulinemia-Enhanced IL-6 Signaling in Dedifferentiated Vascular Smooth Muscle Cells. Journal of Diabetes & Metabolism. 2(2). 3 indexed citations
10.
Qi, Dongfei, Shengping Huang, Ruidong Miao, et al.. (2011). Monocyte Chemotactic Protein-induced Protein 1 (MCPIP1) Suppresses Stress Granule Formation and Determines Apoptosis under Stress. Journal of Biological Chemistry. 286(48). 41692–41700. 44 indexed citations
11.
Chang, Yingzi. (2011). A Central Role of PTP1B in Hyperinsulinemia‐enhanced IL‐6 Signaling in Vascular Smooth Muscle Cells. The FASEB Journal. 25(S1). 1 indexed citations
12.
Zhuang, Daming, et al.. (2008). Chronic insulin treatment amplifies PDGF-induced motility in differentiated aortic smooth muscle cells by suppressing the expression and function of PTP1B. American Journal of Physiology-Heart and Circulatory Physiology. 295(1). H163–H173. 14 indexed citations
13.
Chang, Yingzi, et al.. (2008). Chronic insulin treatment suppresses PTP1B function, induces increased PDGF signaling, and amplifies neointima formation in the balloon-injured rat artery. American Journal of Physiology-Heart and Circulatory Physiology. 296(1). H132–H139. 13 indexed citations
14.
Ceacareanu, Bogdan, Daming Zhuang, Yingzi Chang, et al.. (2005). Nitric oxide attenuates IGF-I-induced aortic smooth muscle cell motility by decreasing Rac1 activity: essential role of PTP-PEST and p130cas. American Journal of Physiology-Cell Physiology. 290(4). C1263–C1270. 15 indexed citations
15.
Chang, Yingzi, et al.. (2005). Pituitary adenylate cyclase-activating polypeptide: Localization and differential influence on isolated hearts from rats and guinea pigs. Regulatory Peptides. 129(1-3). 139–146. 15 indexed citations
16.
Chang, Yingzi, Daming Zhuang, Chunxiang Zhang, & Aviv Hassid. (2004). Increase of PTP levels in vascular injury and in cultured aortic smooth muscle cells treated with specific growth factors. American Journal of Physiology-Heart and Circulatory Physiology. 287(5). H2201–H2208. 23 indexed citations
17.
Chang, Yingzi, Bogdan Ceacareanu, Madhulika Dixit, Sreejayan Nair, & Aviv Hassid. (2002). Nitric Oxide–Induced Motility in Aortic Smooth Muscle Cells. Circulation Research. 91(5). 390–397. 51 indexed citations
18.
Chang, Yingzi, et al.. (2001). Regional Localization and Abundance of Calcitonin Gene-Related Peptide Receptors in Guinea Pig Heart. Journal of Molecular and Cellular Cardiology. 33(4). 745–754. 18 indexed citations
19.
Hoover, Donald B., et al.. (2000). Actions of Tachykinins Within the Heart and Their Relevance to Cardiovascular Disease. The Japanese Journal of Pharmacology. 84(4). 367–373. 52 indexed citations
20.
Hoover, Donald B., et al.. (1998). Characterization of responses to neurokinin A in the isolated perfused guinea pig heart. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 275(6). R1803–R1811. 12 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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