Duonan Yu

7.2k total citations · 3 hit papers
87 papers, 5.8k citations indexed

About

Duonan Yu is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Duonan Yu has authored 87 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 30 papers in Cancer Research and 20 papers in Immunology. Recurrent topics in Duonan Yu's work include MicroRNA in disease regulation (25 papers), Cancer-related molecular mechanisms research (17 papers) and Immune Cell Function and Interaction (11 papers). Duonan Yu is often cited by papers focused on MicroRNA in disease regulation (25 papers), Cancer-related molecular mechanisms research (17 papers) and Immune Cell Function and Interaction (11 papers). Duonan Yu collaborates with scholars based in China, United States and Japan. Duonan Yu's co-authors include Andrei Thomas‐Tikhonenko, Erik A. Wentzel, Joshua T. Mendell, Chi V. Dang, Michael Dews, Tsung-Cheng Chang, Dan E. Arking, Yun‐Sil Lee, Ravi K. Amaravadi and Craig B. Thompson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Genetics.

In The Last Decade

Duonan Yu

78 papers receiving 5.7k citations

Hit Papers

Widespread microRNA repression by Myc contributes to tumo... 2006 2026 2012 2019 2007 2007 2006 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Duonan Yu China 28 4.1k 2.4k 897 873 645 87 5.8k
Enrico De Smaele Italy 38 4.0k 1.0× 1.8k 0.7× 983 1.1× 389 0.4× 770 1.2× 75 5.4k
Min Sup Song United States 25 4.2k 1.0× 1.5k 0.6× 1.1k 1.3× 391 0.4× 408 0.6× 53 5.3k
Nicholas M. Dean United States 52 6.2k 1.5× 1.5k 0.6× 1.2k 1.3× 358 0.4× 566 0.9× 99 7.8k
Steven B. McMahon United States 42 6.5k 1.6× 1.9k 0.8× 2.2k 2.5× 513 0.6× 711 1.1× 77 8.1k
Clifford G. Tepper United States 41 4.0k 1.0× 1.8k 0.7× 1.3k 1.4× 434 0.5× 821 1.3× 102 6.2k
Martin J. Walsh United States 43 5.1k 1.2× 1.8k 0.7× 639 0.7× 450 0.5× 345 0.5× 105 6.5k
Lindsey D. Mayo United States 28 4.6k 1.1× 1.5k 0.6× 2.4k 2.7× 319 0.4× 934 1.4× 61 6.3k
Richard Possemato United States 26 4.1k 1.0× 1.9k 0.8× 832 0.9× 319 0.4× 601 0.9× 40 5.5k
Laura Sanz Spain 36 4.1k 1.0× 1.2k 0.5× 1.4k 1.6× 394 0.5× 1.4k 2.2× 103 6.3k
Xiaohong Mao China 22 4.8k 1.2× 751 0.3× 1.1k 1.2× 360 0.4× 1.3k 2.0× 40 6.5k

Countries citing papers authored by Duonan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Duonan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duonan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Duonan Yu. A scholar is included among the top collaborators of Duonan Yu 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 Duonan Yu. Duonan Yu 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.
He, Sheng, et al.. (2025). Dysregulated tryptophan metabolism and gut microbiota in chronic hypoxia-induced pulmonary hypertension rats. Journal of Pharmaceutical and Biomedical Analysis. 266. 117111–117111.
2.
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Gao, Xiang, et al.. (2024). MiR‐144/451 attenuates lipopolysaccharide‐induced lung inflammation by downregulating Rac1 and STAT‐3 in macrophages. Journal of Biochemical and Molecular Toxicology. 38(11). e70006–e70006. 1 indexed citations
4.
Wang, Zheng, Lei Wu, Zhihui Xu, et al.. (2023). B lymphocytes transdifferentiate into immunosuppressive erythroblast-like cells. Frontiers in Immunology. 14. 1202943–1202943. 4 indexed citations
5.
Lin, Zhijie, Xiaoyan Xie, Min Gu, et al.. (2022). microRNA-144/451 decreases dendritic cell bioactivity via targeting interferon-regulatory factor 5 to limit DSS-induced colitis. Frontiers in Immunology. 13. 928593–928593. 11 indexed citations
6.
Fang, Lei, Yan Yan, Xin Jiang, et al.. (2021). Tectochrysin ameliorates murine allergic airway inflammation by suppressing Th2 response and oxidative stress. European Journal of Pharmacology. 902. 174100–174100. 23 indexed citations
7.
Fang, Lei, Fan Wu, Yan Yan, et al.. (2020). A mouse allergic asthma model induced by shrimp tropomyosin. International Immunopharmacology. 91. 107289–107289. 14 indexed citations
8.
Wang, Fangfang, Jun Ni, Lei Wu, et al.. (2019). Gender disparity in the survival of patients with primary myelodysplastic syndrome. Journal of Cancer. 10(5). 1325–1332. 16 indexed citations
9.
10.
Yu, Duonan, Camila O. dos Santos, Guowei Zhao, et al.. (2010). miR-451 protects against erythroid oxidant stress by repressing 14-3-3ζ. Genes & Development. 24(15). 1620–1633. 189 indexed citations
11.
Yu, Ming, Laura Riva, Huafeng Xie, et al.. (2009). Insights into GATA-1-Mediated Gene Activation versus Repression via Genome-wide Chromatin Occupancy Analysis. Molecular Cell. 36(4). 682–695. 250 indexed citations
12.
Amaravadi, Ravi K., Duonan Yu, Julian J. Lum, et al.. (2007). Autophagy inhibition enhances therapy-induced apoptosis in a Myc-induced model of lymphoma. Journal of Clinical Investigation. 117(2). 326–336. 936 indexed citations breakdown →
13.
14.
O’Donnell, Kathryn A., Duonan Yu, Karen Zeller, et al.. (2006). Activation of Transferrin Receptor 1 by c-Myc Enhances Cellular Proliferation and Tumorigenesis. Molecular and Cellular Biology. 26(6). 2373–2386. 195 indexed citations
15.
Dews, Michael, Duonan Yu, Danielle Murphy, et al.. (2006). Augmentation of tumor angiogenesis by a Myc-activated microRNA cluster. Nature Genetics. 38(9). 1060–1065. 851 indexed citations breakdown →
16.
Patel, Jagruti, et al.. (2005). Metastasis-associated protein 1 (MTA1) is an essential downstream effector of the c-MYC oncoprotein. Proceedings of the National Academy of Sciences. 102(39). 13968–13973. 99 indexed citations
17.
Yu, Duonan, et al.. (2005). Functional Validation of Genes Implicated in Lymphomagenesis: An in Vivo Selection Assay Using a Myc‐Induced B‐Cell Tumor. Annals of the New York Academy of Sciences. 1059(1). 145–159. 36 indexed citations
18.
Johnson, Kristen, David L. Pflugh, Duonan Yu, et al.. (2004). B cell–specific loss of histone 3 lysine 9 methylation in the VH locus depends on Pax5. Nature Immunology. 5(8). 853–861. 91 indexed citations
19.
Hunter, Christopher A., Duonan Yu, Michael S. Gee, et al.. (2001). Cutting Edge: Systemic Inhibition of Angiogenesis Underlies Resistance to Tumors During Acute Toxoplasmosis. The Journal of Immunology. 166(10). 5878–5881. 69 indexed citations
20.
Yu, Duonan & Robert Auerbach. (1999). Brain-specific differentiation of mouse yolk sac endothelial cells. Developmental Brain Research. 117(2). 159–169. 9 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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