Zeng-Quan Yang

838 total citations
20 papers, 653 citations indexed

About

Zeng-Quan Yang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Zeng-Quan Yang has authored 20 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Zeng-Quan Yang's work include Epigenetics and DNA Methylation (10 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (5 papers). Zeng-Quan Yang is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (5 papers). Zeng-Quan Yang collaborates with scholars based in United States, China and Japan. Zeng-Quan Yang's co-authors include Stephen P. Ethier, Gang Liu, Yuanyuan Jiang, Masayuki Imamura, Issei Imoto, Johji Inazawa, Hitoshi Tsuda, Atiphan Pimkhaokham, Yutaka Shimada and Misao Ohki and has published in prestigious journals such as Cancer Research, Scientific Reports and Signal Transduction and Targeted Therapy.

In The Last Decade

Zeng-Quan Yang

19 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zeng-Quan Yang United States	12	488	168	151	73	67	20	653
Qingping Jiang China	13	424 0.9×	171 1.0×	192 1.3×	50 0.7×	63 0.9×	25	663
Changyong Wei United States	12	477 1.0×	145 0.9×	215 1.4×	40 0.5×	46 0.7×	20	656
Leticia Serrano‐Oviedo Spain	16	409 0.8×	139 0.8×	186 1.2×	45 0.6×	123 1.8×	34	632
Xuening Ji China	9	347 0.7×	199 1.2×	209 1.4×	49 0.7×	59 0.9×	16	618
Lois Resnick‐Silverman United States	15	518 1.1×	311 1.9×	97 0.6×	52 0.7×	87 1.3×	18	728
Heather M. Selby United States	14	428 0.9×	265 1.6×	152 1.0×	85 1.2×	72 1.1×	24	666
Diana Resetca Canada	9	646 1.3×	260 1.5×	144 1.0×	71 1.0×	47 0.7×	12	840
Xiaopeng Cui China	17	470 1.0×	137 0.8×	244 1.6×	62 0.8×	75 1.1×	35	676
Giacomo Lettini Italy	15	496 1.0×	133 0.8×	143 0.9×	144 2.0×	44 0.7×	23	652
Krista Meyer United States	10	582 1.2×	250 1.5×	76 0.5×	63 0.9×	86 1.3×	20	808

Countries citing papers authored by Zeng-Quan Yang

Since Specialization

Citations

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

Fields of papers citing papers by Zeng-Quan Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zeng-Quan Yang. 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 Zeng-Quan Yang. The network helps show where Zeng-Quan Yang may publish in the future.

Co-authorship network of co-authors of Zeng-Quan Yang

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

All Works

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20 of 20 papers shown

Deng, Tao, et al.. (2024). Characterization of Shear Damage and Channel Reinforcement of Circumferential Joints between Shield Tunneling Segments Based on Numerical Simulation. Buildings. 14(2). 540–540. 1 indexed citations

Jiang, Yuanyuan, Lanxin Liu, & Zeng-Quan Yang. (2023). KDM4 Demethylases: Structure, Function, and Inhibitors. Advances in experimental medicine and biology. 1433. 87–111. 3 indexed citations

Yang, Zeng-Quan, et al.. (2022). Smoke Detection Algorithm Based on Improved EfficientDet. 61–67.

Jiang, Yuanyuan, et al.. (2021). Multi-omics integration of methyltransferase-like protein family reveals clinical outcomes and functional signatures in human cancer. Scientific Reports. 11(1). 14784–14784. 41 indexed citations

Jiang, Yuanyuan, et al.. (2020). Structural analysis, virtual screening and molecular simulation to identify potential inhibitors targeting 2'-O-ribose methyltransferase of SARS-CoV-2 coronavirus. Journal of Biomolecular Structure and Dynamics. 40(3). 1331–1346. 29 indexed citations

Zhang, Kezhong, Hui Liu, Zhenfeng Song, et al.. (2020). The UPR Transducer IRE1 Promotes Breast Cancer Malignancy by Degrading Tumor Suppressor microRNAs. iScience. 23(9). 101503–101503. 36 indexed citations

Jiang, Yuanyuan, et al.. (2020). Pan-cancer analysis of RNA methyltransferases identifies FTSJ3 as a potential regulator of breast cancer progression. RNA Biology. 17(4). 474–486. 32 indexed citations

Aras, Siddhesh, Yeohan Song, Subhayu Bandyopadhyay, et al.. (2019). Mitochondrial autoimmunity and MNRR1 in breast carcinogenesis. BMC Cancer. 19(1). 15 indexed citations

Thakur, Chitra, Bailing Chen, Lingzhi Li, et al.. (2018). Loss of mdig expression enhances DNA and histone methylation and metastasis of aggressive breast cancer. Signal Transduction and Targeted Therapy. 3(1). 25–25. 29 indexed citations

10.

Zhang, Xilin, Yi Yao, Wei‐Zen Wei, et al.. (2017). Impaired epidermal Langerhans cell maturation in TGFβ-inducible early gene 1 (TIEG1) knockout mice. Oncotarget. 8(68). 112875–112882. 3 indexed citations

11.

Shan, Wenqi, Yuanyuan Jiang, Huimei Yu, et al.. (2017). HDAC2 overexpression correlates with aggressive clinicopathological features and DNA-damage response pathway of breast cancer.. PubMed. 7(5). 1213–1226. 62 indexed citations

12.

Holowatyj, Andreana N., Qin Ye, Jack Wu, et al.. (2015). Abstract 98: Genetic alterations of KDM4 subfamily and therapeutic effect of novel demethylase inhibitor in breast cancer. Cancer Research. 75(15_Supplement). 98–98. 2 indexed citations

13.

Sun, Lingling, Andreana Holowatyj, Xiu‐E Xu, et al.. (2013). Histone demethylase GASC1, a potential prognostic and predictive marker in esophageal squamous cell carcinoma.. PubMed. 3(5). 509–17. 15 indexed citations

14.

Holowatyj, Andreana N. & Zeng-Quan Yang. (2013). The Role of Histone Demethylase GASC1 in Cancer and its Therapeutic Potential. Current Cancer Therapy Reviews. 9(1). 78–85. 1 indexed citations

15.

Holowatyj, Andreana & Zeng-Quan Yang. (2013). The Role of Histone Demethylase GASC1 in Cancer and its Therapeutic Potential. Current Cancer Therapy Reviews. 9(1). 78–85. 1 indexed citations

16.

Hou, Jinling, Jack Wu, Alan A. Dombkowski, et al.. (2012). Abstract 2192: Genomic amplification and drug-resistance roles of the KDM5A histone demethylase gene in breast cancer. Cancer Research. 72(8_Supplement). 2192–2192. 3 indexed citations

17.

Yang, Zeng-Quan, Gang Liu, Aliccia Bollig‐Fischer, Craig N. Giroux, & Stephen P. Ethier. (2010). Transforming Properties of 8p11-12 Amplified Genes in Human Breast Cancer. Cancer Research. 70(21). 8487–8497. 81 indexed citations

18.

Mueller, Kelly L., Zeng-Quan Yang, Ramsi Haddad, Stephen P. Ethier, & Julie L. Boerner. (2010). EGFR/Met association regulates EGFR TKI resistance in breast cancer. PubMed. 5. 8–8. 81 indexed citations

19.

Zhang, Haijun, Gang Liu, Michele Dziubinski, et al.. (2007). Comprehensive analysis of oncogenic effects of PIK3CA mutations in human mammary epithelial cells. Breast Cancer Research and Treatment. 112(2). 217–227. 54 indexed citations

20.

Imoto, Issei, Zeng-Quan Yang, Atiphan Pimkhaokham, et al.. (2001). Identification of cIAP1 as a candidate target gene within an amplicon at 11q22 in esophageal squamous cell carcinomas.. PubMed. 61(18). 6629–34. 164 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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