Yang Xiao

3.0k total citations
79 papers, 2.1k citations indexed

About

Yang Xiao is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Yang Xiao has authored 79 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 22 papers in Cell Biology and 10 papers in Epidemiology. Recurrent topics in Yang Xiao's work include Hippo pathway signaling and YAP/TAZ (15 papers), Ubiquitin and proteasome pathways (7 papers) and Congenital heart defects research (6 papers). Yang Xiao is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (15 papers), Ubiquitin and proteasome pathways (7 papers) and Congenital heart defects research (6 papers). Yang Xiao collaborates with scholars based in China, United States and Australia. Yang Xiao's co-authors include James F. Martin, Yuka Morikawa, John P. Leach, Todd R. Heallen, Min Zhang, Matthew C. Hill, Qiong Yang, Mitchell A. Lazar, Thomas J. Martin and Fang‐Tsyr Lin and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Yang Xiao

73 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Xiao China 25 1.2k 479 208 201 189 79 2.1k
Shanshan Feng China 20 1.3k 1.1× 489 1.0× 165 0.8× 200 1.0× 85 0.4× 63 1.9k
Chang Bai United States 15 1.5k 1.3× 455 0.9× 235 1.1× 151 0.8× 99 0.5× 27 2.3k
Kamil Can Akçalı Türkiye 23 912 0.8× 468 1.0× 160 0.8× 293 1.5× 65 0.3× 61 2.1k
Xiaojun Zhu China 25 1.9k 1.6× 242 0.5× 159 0.8× 212 1.1× 258 1.4× 58 2.5k
Soo Jung Kim South Korea 24 1.2k 1.0× 273 0.6× 163 0.8× 174 0.9× 68 0.4× 59 1.9k
Natasha C. Chang Canada 15 1.5k 1.2× 313 0.7× 264 1.3× 362 1.8× 62 0.3× 23 1.9k
Iva Klevernic United Kingdom 10 2.0k 1.7× 336 0.7× 202 1.0× 155 0.8× 66 0.3× 10 2.7k
Marc K. Saba-El-Leil Canada 19 1.9k 1.5× 209 0.4× 181 0.9× 69 0.3× 307 1.6× 28 2.4k
Kwan‐Hyuck Baek South Korea 26 1.1k 0.9× 302 0.6× 177 0.9× 94 0.5× 62 0.3× 50 1.9k

Countries citing papers authored by Yang Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Yang Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Xiao. A scholar is included among the top collaborators of Yang Xiao 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 Yang Xiao. Yang Xiao 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
1.
Wang, Xiaobo, Hongxue Shi, Yang Xiao, et al.. (2025). A non-apoptotic caspase-8–meteorin pathway in hepatocytes promotes MASH fibrosis. Nature Metabolism. 7(10). 2067–2082.
2.
Yang, Lingyu, Lili Yang, Xi Feng, et al.. (2025). Effects of ultrasound-assisted extraction and transglutaminase treatment on the physicochemical properties of protein from Stropharia rugosoannulata. Ultrasonics Sonochemistry. 122. 107637–107637.
3.
Zhao, Beibei, Jiaxin Shi, Yang Xiao, et al.. (2025). Research progress on the mechanism and treatment of cachexia based on tumor microenvironment. Nutrition. 133. 112697–112697. 1 indexed citations
5.
Wu, Chenghua, Dan Li, Xiaowen Jiang, et al.. (2024). Pregnane X receptor activation promotes hematopoiesis during liver regeneration by inducing proliferation of hematopoietic stem and progenitor cells in mice. Pharmacological Research. 210. 107504–107504. 1 indexed citations
6.
Zhang, Yifei, Jie Yang, Shicheng Fan, et al.. (2024). The reversal of PXR or PPARα activation-induced hepatomegaly. Toxicology Letters. 397. 79–88. 3 indexed citations
7.
Fan, Shicheng, Yue Gao, Guomin Xie, et al.. (2024). Fenofibrate-promoted hepatomegaly and liver regeneration are PPARα-dependent and partially related to the YAP pathway. Acta Pharmaceutica Sinica B. 14(7). 2992–3008. 5 indexed citations
8.
Xiao, Yang, Kirill Batmanov, Wenxiang Hu, et al.. (2023). Hepatocytes demarcated by EphB2 contribute to the progression of nonalcoholic steatohepatitis. Science Translational Medicine. 15(682). eadc9653–eadc9653. 33 indexed citations
9.
Guan, Dongyin, Hosung Bae, Ying Chen, et al.. (2023). Hepatocyte SREBP signaling mediates clock communication within the liver. Journal of Clinical Investigation. 133(8). 15 indexed citations
10.
Yamamoto, Tsunehisa, Santosh K. Maurya, Kirill Batmanov, et al.. (2023). RIP140 deficiency enhances cardiac fuel metabolism and protects mice from heart failure. Journal of Clinical Investigation. 133(9). 8 indexed citations
11.
Chen, Xiaoliang, et al.. (2023). Actin cytoskeleton aggregation involves the water channel protein aquaporin 1-mediated human chondrocyte degeneration. Cellular and Molecular Biology. 69(11). 227–232. 1 indexed citations
12.
Jiao, Yongjie, Xiaojing Li, Chaojing Li, et al.. (2023). Cobweb‐Inspired Micro/Nanostructured Scaffolds for Soft Tissue Regeneration with Inhibition Effect of Fibrosis under Dynamic Environment. Advanced Healthcare Materials. 12(30). e2300997–e2300997. 2 indexed citations
13.
Xiao, Yang, et al.. (2022). 14-3-3τ drives estrogen receptor loss via ERα36 induction and GATA3 inhibition in breast cancer. Proceedings of the National Academy of Sciences. 119(43). e2209211119–e2209211119. 5 indexed citations
14.
Wang, Ruimin, Yang Xiao, Jie Yang, et al.. (2022). Pregnane X receptor promotes liver enlargement in mice through the spatial induction of hepatocyte hypertrophy and proliferation. Chemico-Biological Interactions. 367. 110133–110133. 8 indexed citations
15.
Li, Rongsong, Yang Xiao, Kang Li, & Ling Tian. (2022). Transcription and Post-translational Regulation of Autophagy in Insects. Frontiers in Physiology. 13. 825202–825202. 7 indexed citations
16.
Guan, Dongyin, Ying Xiong, Yang Xiao, et al.. (2020). The hepatocyte clock and feeding control chronophysiology of multiple liver cell types. Science. 369(6509). 1388–1394. 111 indexed citations
17.
Lin, Qiang, et al.. (2020). Selecting the supply chain financing mode under price-sensitive demand: Confirmed warehouse financing vs. trade credit. Journal of Industrial and Management Optimization. 17(4). 2031–2031. 8 indexed citations
18.
Morikawa, Yuka, Todd R. Heallen, John P. Leach, Yang Xiao, & James F. Martin. (2017). Dystrophin–glycoprotein complex sequesters Yap to inhibit cardiomyocyte proliferation. Nature. 547(7662). 227–231. 215 indexed citations
19.
Yu, Kun, Fei Lu, Qing Li, et al.. (2017). Accelerated wound-healing capabilities of a dressing fabricated from silkworm cocoon. International Journal of Biological Macromolecules. 102. 901–913. 32 indexed citations
20.
Wang, Jiping, Jing Ma, Jin Zhang, et al.. (2016). Conditional knockout of TFPI-1 in VSMCs of mice accelerates atherosclerosis by enhancing AMOT/YAP pathway. International Journal of Cardiology. 228. 605–614. 23 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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