Guan Yang

734 total citations
13 papers, 398 citations indexed

About

Guan Yang is a scholar working on Molecular Biology, Pollution and Rheumatology. According to data from OpenAlex, Guan Yang has authored 13 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Pollution and 3 papers in Rheumatology. Recurrent topics in Guan Yang's work include Cancer-related molecular mechanisms research (3 papers), Microplastics and Plastic Pollution (3 papers) and TGF-β signaling in diseases (2 papers). Guan Yang is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Microplastics and Plastic Pollution (3 papers) and TGF-β signaling in diseases (2 papers). Guan Yang collaborates with scholars based in China, Czechia and United States. Guan Yang's co-authors include Xiao Yang, Yan Teng, Fangfei Li, Tujun Weng, Huiyu Yao, Yu Lan, Bing Liu, Xuan Cheng, Qi He and Wenlong Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Molecular and Cellular Biology.

In The Last Decade

Guan Yang

12 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guan Yang China 9 200 89 63 61 45 13 398
Patrícia Shigunov Brazil 11 252 1.3× 132 1.5× 72 1.1× 59 1.0× 18 0.4× 31 425
Rongqing Pang China 13 188 0.9× 168 1.9× 42 0.7× 108 1.8× 21 0.5× 47 415
Olga Katsara United States 10 240 1.2× 102 1.1× 68 1.1× 63 1.0× 31 0.7× 19 388
Mercedes García-Villanueva Spain 12 240 1.2× 157 1.8× 95 1.5× 24 0.4× 59 1.3× 17 473
Mingyu Lee South Korea 7 91 0.5× 102 1.1× 35 0.6× 71 1.2× 24 0.5× 12 340
Lei Xiang China 10 280 1.4× 136 1.5× 77 1.2× 76 1.2× 34 0.8× 19 517
Monique Fangradt Germany 8 140 0.7× 98 1.1× 124 2.0× 65 1.1× 50 1.1× 9 451
Cheng‐Nan Chen Taiwan 9 262 1.3× 49 0.6× 76 1.2× 150 2.5× 20 0.4× 12 656
Jaeger Davis United States 5 287 1.4× 36 0.4× 71 1.1× 70 1.1× 18 0.4× 5 534
Zhanna Akopyan Russia 11 182 0.9× 174 2.0× 53 0.8× 98 1.6× 13 0.3× 22 399

Countries citing papers authored by Guan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guan Yang

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

All Works

13 of 13 papers shown
2.
Yang, Guan, et al.. (2024). Developmental Toxicity of PEDOT:PSS in Zebrafish: Effects on Morphology, Cardiac Function, and Intestinal Health. Toxics. 12(2). 150–150. 8 indexed citations
4.
Ye, Qing, Jia Zhou, Qi He, et al.. (2021). SARS-CoV-2 infection in the mouse olfactory system. Cell Discovery. 7(1). 49–49. 51 indexed citations
5.
Wang, Xiaodan, et al.. (2020). DDB1 promotes the proliferation and hypertrophy of chondrocytes during mouse skeleton development. Developmental Biology. 465(2). 100–107. 6 indexed citations
6.
Xie, Jing, Min Wei, Yan Teng, et al.. (2019). Sustained Akt signaling in articular chondrocytes causes osteoarthritis via oxidative stress-induced senescence in mice. Bone Research. 7(1). 23–23. 49 indexed citations
7.
Wang, Yanxiao, Xiaohong Tan, Yuling Tang, et al.. (2019). Dysregulated Tgfbr2/ERK-Smad4/SOX2 Signaling Promotes Lung Squamous Cell Carcinoma Formation. Cancer Research. 79(17). 4466–4479. 24 indexed citations
8.
Tang, Yuling, Guan Yang, Jinliang Zhang, et al.. (2018). E-cadherin is Required for the Homeostasis of Lgr5+ Gastric Antral Stem Cells. International Journal of Biological Sciences. 15(1). 34–43. 6 indexed citations
9.
Shamis, Yulia, Dana E. Cullen, Guan Yang, et al.. (2015). Maternal and zygotic Zfp57 modulate NOTCH signaling in cardiac development. Proceedings of the National Academy of Sciences. 112(16). E2020–9. 20 indexed citations
10.
He, Miao, Fuyu Lin, Lizheng Qin, et al.. (2011). Postnatal expression of sialin in the mouse submandibular gland. Archives of Oral Biology. 56(11). 1333–1338. 8 indexed citations
11.
Yang, Guan, Qiang Sun, Yan Teng, et al.. (2008). PTEN deficiency causes dyschondroplasia in mice by enhanced hypoxia-inducible factor 1α signaling and endoplasmic reticulum stress. Development. 135(21). 3587–3597. 49 indexed citations
12.
Wang, Xiaoyan, Yu Lan, Wenyan He, et al.. (2007). Identification of mesenchymal stem cells in aorta-gonad-mesonephros and yolk sac of human embryos. Blood. 111(4). 2436–2443. 73 indexed citations
13.
Lan, Yu, Bing Liu, Huiyu Yao, et al.. (2007). Essential Role of Endothelial Smad4 in Vascular Remodeling and Integrity. Molecular and Cellular Biology. 27(21). 7683–7692. 97 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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