Ya-Nan Shu

592 total citations
16 papers, 465 citations indexed

About

Ya-Nan Shu is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Ya-Nan Shu has authored 16 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Ya-Nan Shu's work include Kruppel-like factors research (4 papers), Cancer-related gene regulation (3 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). Ya-Nan Shu is often cited by papers focused on Kruppel-like factors research (4 papers), Cancer-related gene regulation (3 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). Ya-Nan Shu collaborates with scholars based in China and Canada. Ya-Nan Shu's co-authors include Sui‐Bing Miao, Lihua Dong, Yajuan Yin, Xiao‐Li Xie, Lili Zhao, Mei Han, Fan Zhang, Mei Han, Yingjie Li and Jin‐Kun Wen and has published in prestigious journals such as Circulation Research, Arteriosclerosis Thrombosis and Vascular Biology and Gene.

In The Last Decade

Ya-Nan Shu

16 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ya-Nan Shu China	13	272	111	87	54	51	16	465
Sung Ji Yun South Korea	12	318 1.2×	69 0.6×	48 0.6×	33 0.6×	25 0.5×	15	454
Alexandra C Finney United States	10	190 0.7×	59 0.5×	156 1.8×	62 1.1×	45 0.9×	13	459
Tatsuya Usui Japan	12	334 1.2×	80 0.7×	44 0.5×	24 0.4×	39 0.8×	19	506
Weihua Wu China	11	333 1.2×	115 1.0×	69 0.8×	28 0.5×	66 1.3×	20	498
Mi-Ni Lee South Korea	11	264 1.0×	92 0.8×	85 1.0×	61 1.1×	23 0.5×	11	435
Jun Zheng China	15	310 1.1×	174 1.6×	56 0.6×	41 0.8×	36 0.7×	45	593
Rangasudhagar Radhakrishnan United States	13	424 1.6×	158 1.4×	75 0.9×	39 0.7×	56 1.1×	28	599
Jing-Yiing Wu Taiwan	11	182 0.7×	81 0.7×	169 1.9×	38 0.7×	37 0.7×	15	446
José Castellano Spain	10	180 0.7×	95 0.9×	82 0.9×	60 1.1×	90 1.8×	16	392

Countries citing papers authored by Ya-Nan Shu

Since Specialization

Citations

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

Fields of papers citing papers by Ya-Nan Shu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya-Nan Shu. 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 Ya-Nan Shu. The network helps show where Ya-Nan Shu may publish in the future.

Co-authorship network of co-authors of Ya-Nan Shu

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

All Works

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16 of 16 papers shown

Zheng, Bin, Mei Han, Ya-Nan Shu, et al.. (2024). Editorial Expression of Concern: HDAC2 phosphorylation-dependent Klf5 deacetylation and RARα acetylation induced by RAR agonist switch the transcription regulatory programs of p21 in VSMCs. Cell Research. 34(4). 331–331. 1 indexed citations

Ye, Fang, et al.. (2021). [Efficacy and Safety of Different Dosages of Decitabine in the Treatment of High-Risk Patients with Myelodysplastic Syndrome].. PubMed. 29(6). 1845–1850. 1 indexed citations

Chen, Rong, Peng Kong, Fan Zhang, et al.. (2017). EZH2-mediated α-actin methylation needs lncRNA TUG1, and promotes the cortex cytoskeleton formation in VSMCs. Gene. 616. 52–57. 29 indexed citations

Miao, Sui‐Bing, Xiao‐Li Xie, Yajuan Yin, et al.. (2017). Accumulation of Smooth Muscle 22α Protein Accelerates Senescence of Vascular Smooth Muscle Cells via Stabilization of p53 In Vitro and In Vivo. Arteriosclerosis Thrombosis and Vascular Biology. 37(10). 1849–1859. 33 indexed citations

Zhao, Lili, Fan Zhang, Peng Chen, et al.. (2016). Insulin-independent GLUT4 translocation in proliferative vascular smooth muscle cells involves SM22α. Journal of Molecular Medicine. 95(2). 181–192. 13 indexed citations

Lv, Pin, Fan Zhang, Yajuan Yin, et al.. (2016). SM22α inhibits lamellipodium formation and migration via Ras-Arp2/3 signaling in synthetic VSMCs. American Journal of Physiology-Cell Physiology. 311(5). C758–C767. 24 indexed citations

Shu, Ya-Nan, Fan Zhang, Lihua Dong, et al.. (2015). SM22α inhibits vascular inflammation via stabilization of IκBα in vascular smooth muscle cells. Journal of Molecular and Cellular Cardiology. 84. 191–199. 22 indexed citations

Dong, Lihua, Liang Li, Yu Song, et al.. (2015). TRAF6-Mediated SM22α K21 Ubiquitination Promotes G6PD Activation and NADPH Production, Contributing to GSH Homeostasis and VSMC Survival In Vitro and In Vivo. Circulation Research. 117(8). 684–694. 57 indexed citations

Li, Haibo, Yingchun Han, Rong Qi, et al.. (2015). Aggravated restenosis and atherogenesis in ApoCIII transgenic mice but lack of protection in ApoCIII knockouts: the effect of authentic triglyceride-rich lipoproteins with and without ApoCIII. Cardiovascular Research. 107(4). 579–589. 50 indexed citations

10.

Xie, Xiao‐Li, Fan Zhang, Lili Zhao, et al.. (2014). Smooth muscle 22α facilitates angiotensin II-induced signaling and vascular contraction. Journal of Molecular Medicine. 93(5). 547–558. 21 indexed citations

11.

Chen, Rong, Fan Zhang, Ya-Nan Shu, et al.. (2014). Transcriptome profiling reveals that the SM22α-regulated molecular pathways contribute to vascular pathology. Journal of Molecular and Cellular Cardiology. 72. 263–272. 23 indexed citations

12.

Lv, Pin, Sui‐Bing Miao, Ya-Nan Shu, et al.. (2012). Phosphorylation of Smooth Muscle 22α Facilitates Angiotensin II–Induced ROS Production Via Activation of the PKCδ-P47^phoxAxis Through Release of PKCδ and Actin Dynamics and Is Associated With Hypertrophy and Hyperplasia of Vascular Smooth Muscle Cells In Vitro and In Vivo. Circulation Research. 111(6). 697–707. 53 indexed citations

13.

Li, Deguang, Ya-Nan Shu, Pingliang Li, et al.. (2012). Synthesis and structure–activity relationships of aliphatic isothiocyanate analogs as antibiotic agents. Medicinal Chemistry Research. 22(7). 3119–3125. 35 indexed citations

14.

Li, Han, Sui‐Bing Miao, Lihua Dong, et al.. (2011). Clinicopathological correlation of Krüppel-like factor 5 and matrix metalloproteinase-9 expression and cartilage degeneration in human osteoarthritis. Pathology - Research and Practice. 208(1). 9–14. 10 indexed citations

15.

Zheng, Bin, Mei Han, Ya-Nan Shu, et al.. (2011). HDAC2 phosphorylation-dependent Klf5 deacetylation and RARα acetylation induced by RAR agonist switch the transcription regulatory programs of p21 in VSMCs. Cell Research. 21(10). 1487–1508. 67 indexed citations

16.

Zhang, Rui, Mei Han, Bin Zheng, et al.. (2010). Krüppel-like factor 4 interacts with p300 to activate mitofusin 2 gene expression induced by all-trans retinoic acid in VSMCs. Acta Pharmacologica Sinica. 31(10). 1293–1302. 26 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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