Hong Yu

15.7k total citations · 3 hit papers
154 papers, 9.8k citations indexed

About

Hong Yu is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hong Yu has authored 154 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 28 papers in Cancer Research and 25 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hong Yu's work include Receptor Mechanisms and Signaling (20 papers), Neuropeptides and Animal Physiology (17 papers) and Mesenchymal stem cell research (15 papers). Hong Yu is often cited by papers focused on Receptor Mechanisms and Signaling (20 papers), Neuropeptides and Animal Physiology (17 papers) and Mesenchymal stem cell research (15 papers). Hong Yu collaborates with scholars based in United States, China and Sweden. Hong Yu's co-authors include Xiao-Ming Guan, Lex H.T. Van der Ploeg, Douglas J. MacNeil, Prashant Trivedi, L. H. T. Van der Ploeg, Catherine D. Strader, Tung M. Fong, R G Smith, Oksana Palyha and D.J.S. Sirinathsinghji and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Hong Yu

153 papers receiving 9.6k citations

Hit Papers

High glucose level and free fatty acid stimulate reactive... 1997 2026 2006 2016 2000 1997 1998 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Yu United States 50 4.0k 2.7k 2.0k 1.4k 1.2k 154 9.8k
Catherine Godson Ireland 58 5.1k 1.3× 1.6k 0.6× 1.1k 0.6× 1.6k 1.2× 738 0.6× 155 11.2k
Gastone G. Nussdorfer Italy 48 2.8k 0.7× 1.7k 0.6× 1.8k 0.9× 544 0.4× 2.4k 2.0× 398 9.1k
Shu Lin Australia 46 3.3k 0.8× 1.8k 0.6× 1.7k 0.9× 715 0.5× 1.3k 1.0× 180 7.6k
Thierry Pedrazzini Switzerland 52 5.4k 1.3× 1.4k 0.5× 1.8k 0.9× 466 0.3× 3.4k 2.8× 137 12.8k
Gabriele V. Ronnett United States 54 5.3k 1.3× 1.7k 0.6× 2.0k 1.0× 1.3k 0.9× 2.1k 1.7× 123 9.8k
Markus Schwaninger Germany 60 4.1k 1.0× 859 0.3× 1.8k 0.9× 350 0.3× 1.7k 1.4× 217 12.3k
Eng‐Ang Ling Singapore 55 3.3k 0.8× 816 0.3× 1.4k 0.7× 281 0.2× 2.5k 2.1× 263 11.0k
Hiroshi Kiyama Japan 59 6.3k 1.6× 982 0.4× 2.5k 1.3× 379 0.3× 5.7k 4.7× 352 13.6k
Maria P. Abbracchio Italy 61 5.5k 1.4× 2.0k 0.7× 1.6k 0.8× 218 0.2× 3.6k 3.0× 233 14.8k
Stephen D. Skaper Italy 67 5.5k 1.4× 737 0.3× 2.5k 1.3× 444 0.3× 6.2k 5.1× 277 15.4k

Countries citing papers authored by Hong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Yu. A scholar is included among the top collaborators of Hong 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 Hong Yu. Hong 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.
Lan, Wei‐Ren, Xueman Chen, Hong Yu, et al.. (2025). UGDH Lactylation Aggravates Osteoarthritis by Suppressing Glycosaminoglycan Synthesis and Orchestrating Nucleocytoplasmic Transport to Activate MAPK Signaling. Advanced Science. 12(20). e2413709–e2413709. 7 indexed citations
2.
Cao, Hui, et al.. (2023). MicroRNA-98 inhibition accelerates the development of atherosclerosis via regulation of dysfunction of endothelial cell. Clinical and Experimental Hypertension. 45(1). 2206068–2206068. 8 indexed citations
3.
Yue, Tao, Rongrong Wu, Changchen Xiao, et al.. (2021). Long noncoding RNA LUCAT1 enhances the survival and therapeutic effects of mesenchymal stromal cells post-myocardial infarction. Molecular Therapy — Nucleic Acids. 27. 412–426. 7 indexed citations
4.
Wang, Kan, Zhi Jiang, Keith A. Webster, et al.. (2016). Enhanced Cardioprotection by Human Endometrium Mesenchymal Stem Cells Driven by Exosomal MicroRNA-21. Stem Cells Translational Medicine. 6(1). 209–222. 238 indexed citations
6.
Xie, Xiaojie, et al.. (2014). Stem Cell-Based Therapies for Atherosclerosis: Perspectives and Ongoing Controversies. Stem Cells and Development. 23(15). 1731–1740. 9 indexed citations
7.
Zhu, Haiying, Jin‐Dan Kang, Suo Li, et al.. (2014). Production of rhesus monkey cloned embryos expressing monomeric red fluorescent protein by interspecies somatic cell nuclear transfer. Biochemical and Biophysical Research Communications. 444(4). 638–643. 3 indexed citations
8.
Xu, Yinchuan, Xinyang Hu, Lihan Wang, et al.. (2013). Preconditioning via Angiotensin Type 2 Receptor Activation Improves Therapeutic Efficacy of Bone Marrow Mononuclear Cells for Cardiac Repair. PLoS ONE. 8(12). e82997–e82997. 20 indexed citations
9.
Eton, Darwin & Hong Yu. (2010). Enhanced cell therapy strategy to treat chronic limb-threatening ischemia. Journal of Vascular Surgery. 52(1). 199–204. 5 indexed citations
10.
Wu, Qiuling, Qi Ma, Lina A. Shehadeh, et al.. (2010). Expression of the Argonaute protein PiwiL2 and piRNAs in adult mouse mesenchymal stem cells. Biochemical and Biophysical Research Communications. 396(4). 915–920. 40 indexed citations
11.
Tan, Yi, Yan Li, Jian Xiao, et al.. (2009). A novel CXCR4 antagonist derived from human SDF-1β enhances angiogenesis in ischaemic mice. Cardiovascular Research. 82(3). 513–521. 37 indexed citations
12.
Mumenthaler, Shannon M., Hong Yu, Sheila Tze, et al.. (2008). Expression of arginase II in prostate cancer. International Journal of Oncology. 32(2). 357–65. 42 indexed citations
13.
Yu, Hong. (2008). Experimental studies on antiproliferation activities and early apoptosis inducement of polysaccharides from Spirulina platensis. Haiyang kexue. 2 indexed citations
14.
Yu, Hong. (2004). Recent advances in heat shock protein 60. Zhongguo bingli shengli zazhi.
15.
Yu, Hong & Xuecheng Zhang. (2003). Experimental Studies on Antitumor Effects of Polysaccharides from Spirulina platensis. 13(7). 83–86. 1 indexed citations
16.
Yu, Hong, et al.. (2002). The Association between Insulin ,Panerepic Glucagons in The Blood of C HD Patients and Differentiation of Syndrome and Type. Zhongguo zhongyi jichu yixue zazhi. 8(9). 53–55. 1 indexed citations
17.
Eton, Darwin, et al.. (1999). Genetic engineering of stent grafts with a highly efficient pseudotyped retroviral vector. Journal of Vascular Surgery. 29(5). 863–873. 20 indexed citations
18.
Kaul, Malvika, Hong Yu, Yacov Ron, & Joseph P. Dougherty. (1998). Regulated Lentiviral Packaging Cell Line Devoid of Most Viralcis-Acting Sequences. Virology. 249(1). 167–174. 45 indexed citations
19.
Tjaden, Gabrielle, et al.. (1990). Density-dependent nerve growth factor regulation of Gs-alpha RNA in pheochromocytoma 12 cells.. Molecular and Cellular Biology. 10(6). 3277–3279. 4 indexed citations
20.
Yu, Hong & James W. Whittaker. (1989). Vanadate activation of bromoperoxidase from Corallinaofficinalis. Biochemical and Biophysical Research Communications. 160(1). 87–92. 35 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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