Dunyong Tan

427 total citations
18 papers, 343 citations indexed

About

Dunyong Tan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology. According to data from OpenAlex, Dunyong Tan has authored 18 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Oncology. Recurrent topics in Dunyong Tan's work include Growth Hormone and Insulin-like Growth Factors (7 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Estrogen and related hormone effects (3 papers). Dunyong Tan is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (7 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Estrogen and related hormone effects (3 papers). Dunyong Tan collaborates with scholars based in United States, China and Spain. Dunyong Tan's co-authors include Ameae M. Walker, Carlos Caramelo, María Ángeles Castilla, Wen Y. Chen, Santiago Casado, A Riesco, Wei Wu, Eric Ueda, John F. Langenheim and Barbara K. Vonderhaar and has published in prestigious journals such as Biochemistry, Kidney International and Journal of the American Society of Nephrology.

In The Last Decade

Dunyong Tan

18 papers receiving 335 citations

Peers

Dunyong Tan
Jorge Peter Netherlands
Judy L. Shih United States
Jiena Lang United States
Dunyong Tan
Citations per year, relative to Dunyong Tan Dunyong Tan (= 1×) peers Chieko Takagi

Countries citing papers authored by Dunyong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Dunyong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dunyong Tan

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

All Works

18 of 18 papers shown
1.
Tan, Dunyong, Zeqi Huang, Zhe Zhao, et al.. (2023). Single‑cell sequencing, genetics, and epigenetics reveal mesenchymal stem cell senescence in osteoarthritis (Review). International Journal of Molecular Medicine. 53(1). 9 indexed citations
2.
Tan, Dunyong. (2015). Histone 3 Trimethylation of IGFBP-7 Gene Promoter by Expression of D5 Stat5a in Breast Epithelial Cells. The Chinese Journal of Physiology. 預刊文章(預刊文章). 1–10. 1 indexed citations
4.
Tan, Dunyong, et al.. (2014). Expression of a constitutively active prolactin receptor causes histone trimethylation of the p53 gene in breast cancer. Chinese Medical Journal. 127(6). 1077–1083. 7 indexed citations
5.
7.
Tan, Dunyong. (2013). Histone Trimethylation of the p53 Gene by Expression of a Constitutively Active Prolactin Receptor in Prostate Cancer Cells. The Chinese Journal of Physiology. 56(5). 282–290. 11 indexed citations
9.
Tan, Dunyong, et al.. (2012). [Progress in prolactin receptor research].. PubMed. 43(1). 17–23. 4 indexed citations
11.
Tan, Dunyong & Ameae M. Walker. (2009). Short form 1b human prolactin receptor down-regulates expression of the long form. Journal of Molecular Endocrinology. 44(3). 187–194. 29 indexed citations
13.
Wu, Wei, Yen-Hao Chen, Eric Ueda, et al.. (2006). Different Forms of Prolactin Have Opposing Effects on the Expression of Cell Cycle Regulatory Proteins in Differentiated Mammary Epithelial Cells. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 16(2). 75–84. 14 indexed citations
14.
Langenheim, John F., Dunyong Tan, Ameae M. Walker, & Wen Y. Chen. (2005). Two Wrongs Can Make a Right: Dimers of Prolactin and Growth Hormone Receptor Antagonists Behave as Agonists. Molecular Endocrinology. 20(3). 661–674. 25 indexed citations
15.
Tan, Dunyong, David A. Johnson, Wei Wu, et al.. (2005). Unmodified Prolactin (PRL) and S179D PRL-Initiated Bioluminescence Resonance Energy Transfer between Homo- and Hetero-Pairs of Long and Short Human PRL Receptors in Living Human Cells. Molecular Endocrinology. 19(5). 1291–1303. 43 indexed citations
16.
Castilla, María Ángeles, et al.. (1998). Role of vascular endothelial growth factor on erythropoietin-related endothelial cell proliferation.. Journal of the American Society of Nephrology. 9(11). 1998–2004. 66 indexed citations
17.
Montón, Mercedes, María Ángeles Castilla, Dunyong Tan, et al.. (1998). Effects of angiotensin II on endothelial cell growth. Journal of the American Society of Nephrology. 9(6). 969–974. 21 indexed citations
18.
Espinosa, Gaudêncio, Antonio López‐Farré, Félix Manzarbeitia, et al.. (1996). Role of endothelin in the pathophysiology of renal ischemia-reperfusion in normal rabbits. Kidney International. 50(3). 776–782. 34 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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