Yu Sun

7.8k total citations · 3 hit papers
83 papers, 4.8k citations indexed

About

Yu Sun is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Yu Sun has authored 83 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 23 papers in Physiology and 18 papers in Cancer Research. Recurrent topics in Yu Sun's work include Telomeres, Telomerase, and Senescence (21 papers), MicroRNA in disease regulation (9 papers) and Extracellular vesicles in disease (6 papers). Yu Sun is often cited by papers focused on Telomeres, Telomerase, and Senescence (21 papers), MicroRNA in disease regulation (9 papers) and Extracellular vesicles in disease (6 papers). Yu Sun collaborates with scholars based in China, United States and United Kingdom. Yu Sun's co-authors include Eric W.‐F. Lam, Judith Campisi, Peter S. Nelson, Han Liu, Ying Wang, James L. Kirkland, Ilsa M. Coleman, Tomasz M. Beer, Celestia S. Higano and Peggy L. Porter and has published in prestigious journals such as Nature Medicine, Nature Communications and Journal of Neuroscience.

In The Last Decade

Yu Sun

80 papers receiving 4.7k citations

Hit Papers

Treatment-induced damage to the tumor microenvironment pr... 2012 2026 2016 2021 2012 2015 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Sun China 34 2.5k 1.2k 1.1k 960 876 83 4.8k
Bart Ghesquière Belgium 41 3.9k 1.6× 1.7k 1.4× 719 0.7× 1.5k 1.5× 651 0.7× 106 6.6k
Yanru Wang China 43 4.0k 1.6× 1.2k 1.0× 1.4k 1.3× 864 0.9× 496 0.6× 226 6.7k
Ling Liu China 37 4.6k 1.8× 961 0.8× 1.5k 1.4× 863 0.9× 1.0k 1.2× 137 7.0k
Wei Cui China 43 3.8k 1.5× 702 0.6× 779 0.7× 584 0.6× 412 0.5× 120 6.4k
Aimin Li China 38 2.6k 1.1× 890 0.7× 879 0.8× 553 0.6× 316 0.4× 220 5.1k
Benjamin P.C. Chen United States 41 4.8k 1.9× 974 0.8× 1.7k 1.6× 955 1.0× 1.1k 1.2× 85 7.1k
Xin Hong China 43 2.6k 1.0× 942 0.8× 1.9k 1.8× 2.0k 2.1× 402 0.5× 142 6.2k
Jin Woo Kim South Korea 39 3.2k 1.3× 804 0.7× 860 0.8× 647 0.7× 328 0.4× 201 5.9k
Gaoliang Ouyang China 31 3.3k 1.3× 1.6k 1.4× 1.6k 1.5× 607 0.6× 308 0.4× 51 5.8k

Countries citing papers authored by Yu Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yu Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Sun. A scholar is included among the top collaborators of Yu Sun 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 Yu Sun. Yu Sun 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
3.
Zhang, Hongwei, Qixia Xu, Zhirui Jiang, et al.. (2025). Targeting Senescence with Apigenin Improves Chemotherapeutic Efficacy and Ameliorates Age‐Related Conditions in Mice. Advanced Science. 12(20). e2412950–e2412950. 8 indexed citations
4.
Sun, Yu, Jianping Cao, Nan Zhang, et al.. (2024). Phthalates on indoor surfaces and associated exposure via surface touch behavior: Observation in university dormitories and its implications. Building and Environment. 265. 111976–111976. 3 indexed citations
5.
Liu, Hanxin, Qixia Xu, Zi Li, et al.. (2023). Rutin is a potent senomorphic agent to target senescent cells and can improve chemotherapeutic efficacy. Aging Cell. 23(1). e13921–e13921. 55 indexed citations
6.
Dou, Xuefeng, Qiang Fu, Qilai Long, et al.. (2023). PDK4-dependent hypercatabolism and lactate production of senescent cells promotes cancer malignancy. Nature Metabolism. 5(11). 1887–1910. 88 indexed citations
7.
Xie, Ya‐Jia, et al.. (2022). A New Landscape of Human Dental Aging: Causes, Consequences, and Intervention Avenues. Aging and Disease. 14(4). 0–0. 10 indexed citations
8.
Xu, Qixia, Qiang Fu, Zi Li, et al.. (2021). The flavonoid procyanidin C1 has senotherapeutic activity and increases lifespan in mice. Nature Metabolism. 3(12). 1706–1726. 217 indexed citations breakdown →
9.
Bello, Ayodeji, Bo Wang, Zhao Yan, et al.. (2021). Composted biochar affects structural dynamics, function and co-occurrence network patterns of fungi community. The Science of The Total Environment. 775. 145672–145672. 87 indexed citations
10.
Liu, Hanxin, Huifang Zhao, & Yu Sun. (2021). Tumor microenvironment and cellular senescence: Understanding therapeutic resistance and harnessing strategies. Seminars in Cancer Biology. 86(Pt 3). 769–781. 71 indexed citations
11.
Muñoz, Denise P., Steven M. Yannone, Anneleen Daemen, et al.. (2019). Targetable mechanisms driving immunoevasion of persistent senescent cells link chemotherapy-resistant cancer to aging. JCI Insight. 4(14). 118 indexed citations
12.
Xie, Zhihong, Wei Liu, Yu Sun, et al.. (2019). The genome of Ensifer alkalisoli YIC4027 provides insights for host specificity and environmental adaptations. BMC Genomics. 20(1). 643–643. 12 indexed citations
13.
Cao, Mengtao, Fei Chen, Ni Xie, et al.. (2018). c-Jun N-terminal kinases differentially regulate TNF- and TLRs-mediated necroptosis through their kinase-dependent and -independent activities. Cell Death and Disease. 9(12). 1140–1140. 51 indexed citations
14.
Sun, Yu, et al.. (2017). DNA Damage Induces a Secretory Program in the Quiescent TME that Fosters Adverse Cancer Phenotypes. Molecular Cancer Research. 15(7). 842–851. 14 indexed citations
15.
Zhang, Boyi, Fei Chen, Qixia Xu, et al.. (2017). Revisiting ovarian cancer microenvironment: a friend or a foe?. Protein & Cell. 9(8). 674–692. 40 indexed citations
16.
Guo, Yu Amanda, Zilong Wang, You Li, et al.. (2016). Lateralization of gene expression in the honeybee brain during olfactory learning. Scientific Reports. 6(1). 34727–34727. 16 indexed citations
17.
Brigidi, G. Stefano, Yu Sun, Dayne Beccano-Kelly, et al.. (2014). Palmitoylation of δ-catenin by DHHC5 mediates activity-induced synapse plasticity. Nature Neuroscience. 17(4). 522–532. 99 indexed citations
18.
Fu, Jinxiang, Xiaohui Zhang, Jie Li, et al.. (2010). Myeloma cells inhibit osteogenic differentiation of mesenchymal stem cells and kill osteoblasts via TRAIL-induced apoptosis. Archives of Medical Science. 4(4). 496–504. 16 indexed citations
19.
Bluemn, Eric G., Kelly G. Paulson, Erin E. Higgins, et al.. (2009). Merkel cell polyomavirus is not detected in prostate cancers, surrounding stroma, or benign prostate controls. Journal of Clinical Virology. 44(2). 164–166. 18 indexed citations
20.
Fu, Jinxiang, Jianhua Zhang, Xiaohui Zhang, & Yu Sun. (2008). Basic research Upregulated expression of RANKL on bone marrow stromal cells can stimulate osteoclast precursors to mature into functional osteoclasts and promote survival of myeloma cells. Archives of Medical Science. 4(3). 233–241. 3 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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