Xiaocan Guo

1.9k total citations · 1 hit paper
17 papers, 1.5k citations indexed

About

Xiaocan Guo is a scholar working on Cell Biology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Xiaocan Guo has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cell Biology, 4 papers in Infectious Diseases and 4 papers in Molecular Biology. Recurrent topics in Xiaocan Guo's work include Hippo pathway signaling and YAP/TAZ (8 papers), Viral Infections and Vectors (4 papers) and Hair Growth and Disorders (2 papers). Xiaocan Guo is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (8 papers), Viral Infections and Vectors (4 papers) and Hair Growth and Disorders (2 papers). Xiaocan Guo collaborates with scholars based in China, United States and France. Xiaocan Guo's co-authors include Houqi Liu, Yue Wang, Minjuan Wu, Chen Xu, Junfeng Jiang, Zhenyu Xu, Lei Xiao, Jun Xiong, Jiuhong Kang and Bin Zhao and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and PLoS ONE.

In The Last Decade

Xiaocan Guo

17 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Endogenous miRNA Sponge lincRNA-RoR Regulates Oct4, Nanog, and Sox2 in Human Embryonic Stem Cell Self-Renewal

2013 652 citations Yue Wang, Zhenyu Xu et al. Developmental Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaocan Guo China	11	1.0k	632	558	119	93	17	1.5k
Sushama Sivakumar United States	11	1.3k 1.3×	634 1.0×	511 0.9×	137 1.2×	57 0.6×	14	1.6k
Zhubo Wei United States	12	639 0.6×	199 0.3×	373 0.7×	228 1.9×	45 0.5×	17	919
Anders Bratt Sweden	6	601 0.6×	258 0.4×	285 0.5×	84 0.7×	142 1.5×	6	845
Dale O. Cowley United States	15	631 0.6×	170 0.3×	204 0.4×	202 1.7×	125 1.3×	29	875
Ri‐Ichiroh Manabe Japan	13	453 0.4×	134 0.2×	306 0.5×	79 0.7×	74 0.8×	32	840
Monica Ballarino Italy	24	2.1k 2.0×	1.2k 1.9×	101 0.2×	122 1.0×	135 1.5×	40	2.4k
Maja M. Janas United States	16	1.4k 1.4×	888 1.4×	74 0.1×	65 0.5×	119 1.3×	19	1.6k
Samrat T. Kundu United States	15	599 0.6×	187 0.3×	257 0.5×	160 1.3×	70 0.8×	26	938
Dieter Näf United States	18	1.0k 1.0×	424 0.7×	146 0.3×	298 2.5×	301 3.2×	23	1.4k
Dario Antonini Italy	20	840 0.8×	196 0.3×	170 0.3×	400 3.4×	60 0.6×	40	1.2k

Countries citing papers authored by Xiaocan Guo

Since Specialization

Citations

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

Fields of papers citing papers by Xiaocan Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaocan Guo

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Cao, Xiaolei, Fei Huang, Mei Tang, et al.. (2025). RIPK4 promotes epidermal differentiation through phase separation and activation of LATS1/2. Developmental Cell. 60(20). 2761–2776.e11. 1 indexed citations

Teng, Yue, Shuxia Liu, Shan Yang, et al.. (2019). Computer-designed orthogonal RNA aptamers programmed to recognize Ebola virus glycoproteins. Biosafety and Health. 1(2). 105–111. 5 indexed citations

Teng, Yue, et al.. (2018). Contact reductions from live poultry market closures limit the epidemic of human infections with H7N9 influenza. Journal of Infection. 76(3). 295–304. 9 indexed citations

Guo, Xiaocan, et al.. (2018). Predicting the Epidemic Potential and Global Diffusion of Mosquito-Borne Diseases Using Machine Learning. SSRN Electronic Journal. 2 indexed citations

Si, Yuan, Xinyan Ji, Xiaolei Cao, et al.. (2017). Src Inhibits the Hippo Tumor Suppressor Pathway through Tyrosine Phosphorylation of Lats1. Cancer Research. 77(18). 4868–4880. 117 indexed citations

Guo, Xiaocan, Yang Zhao, Huan Yan, et al.. (2017). Single tumor-initiating cells evade immune clearance by recruiting type II macrophages. Genes & Development. 31(3). 247–259. 220 indexed citations

Teng, Yue, Shufeng Liu, Xiaocan Guo, et al.. (2017). An Integrative Analysis Reveals a Central Role of P53 Activation via MDM2 in Zika Virus Infection Induced Cell Death. Frontiers in Cellular and Infection Microbiology. 7. 327–327. 21 indexed citations

Shen, Shuying, Xiaocan Guo, Huan Yan, et al.. (2015). A miR-130a-YAP positive feedback loop promotes organ size and tumorigenesis. Cell Research. 25(9). 997–1012. 86 indexed citations

Dai, Xiaoming, Huan Liu, Shuying Shen, et al.. (2015). YAP activates the Hippo pathway in a negative feedback loop. Cell Research. 25(10). 1175–1178. 63 indexed citations

10.

Zhou, Tong, Minjuan Wu, Xiaocan Guo, & Houqi Liu. (2014). RNA interference mediated JAM-A gene silencing promotes human epidermal stem cell proliferation. Human Cell. 28(2). 73–80. 6 indexed citations

11.

Wu, Minjuan, Xiaocan Guo, Ling Yang, et al.. (2014). Mesenchymal Stem Cells With Modification of Junctional Adhesion Molecule A Induce Hair Formation. Stem Cells Translational Medicine. 3(4). 481–488. 9 indexed citations

12.

Wang, Yue, Zhenyu Xu, Junfeng Jiang, et al.. (2013). Endogenous miRNA Sponge lincRNA-RoR Regulates Oct4, Nanog, and Sox2 in Human Embryonic Stem Cell Self-Renewal. Developmental Cell. 25(1). 69–80. 652 indexed citations breakdown →

13.

Guo, Xiaocan & Bin Zhao. (2013). Integration of mechanical and chemical signals by YAP and TAZ transcription coactivators. Cell & Bioscience. 3(1). 33–33. 38 indexed citations

14.

Dai, Xiaoming, Fangtao Chi, Ying Feng, et al.. (2013). Phosphorylation of Angiomotin by Lats1/2 Kinases Inhibits F-actin Binding, Cell Migration, and Angiogenesis. Journal of Biological Chemistry. 288(47). 34041–34051. 127 indexed citations

15.

Xu, Zhenyu, Junfeng Jiang, Chen Xu, et al.. (2013). MicroRNA-181 Regulates CARM1 and Histone Aginine Methylation to Promote Differentiation of Human Embryonic Stem Cells. PLoS ONE. 8(1). e53146–e53146. 41 indexed citations

16.

Wang, Shimin, Liang Dong, Chao Wang, et al.. (2013). Par-1 Regulates Tissue Growth by Influencing Hippo Phosphorylation Status and Hippo-Salvador Association. PLoS Biology. 11(8). e1001620–e1001620. 51 indexed citations

17.

Wu, Minjuan, Qing Sun, Xiaocan Guo, & Houqi Liu. (2012). hMSCs possess the potential to differentiate into DP cellsin vivoandin vitro. PubMed. 19(2). 37–43. 18 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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