Fa‐Xing Yu

12.8k total citations · 8 hit papers
66 papers, 9.1k citations indexed

About

Fa‐Xing Yu is a scholar working on Cell Biology, Molecular Biology and Oncology. According to data from OpenAlex, Fa‐Xing Yu has authored 66 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cell Biology, 37 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Fa‐Xing Yu's work include Hippo pathway signaling and YAP/TAZ (45 papers), Ubiquitin and proteasome pathways (12 papers) and Wnt/β-catenin signaling in development and cancer (7 papers). Fa‐Xing Yu is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (45 papers), Ubiquitin and proteasome pathways (12 papers) and Wnt/β-catenin signaling in development and cancer (7 papers). Fa‐Xing Yu collaborates with scholars based in China, United States and Singapore. Fa‐Xing Yu's co-authors include Kun‐Liang Guan, Bin Zhao, Jenna L. Jewell, Hyun Woo Park, Steven W. Plouffe, Zhipeng Meng, Young Chul Kim, Ian Lian, Jiagang Zhao and Hai‐Xin Yuan and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Fa‐Xing Yu

62 papers receiving 9.0k citations

Hit Papers

Hippo Pathway in Organ Size Control, Tissue Homeostasis, ... 2012 2026 2016 2021 2015 2012 2013 2015 2015 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fa‐Xing Yu China 32 6.1k 5.4k 1.1k 704 576 66 9.1k
Zhipeng Meng United States 33 4.3k 0.7× 4.6k 0.8× 1.2k 1.1× 1.1k 1.5× 727 1.3× 61 7.7k
Toshiro Moroishi Japan 21 3.6k 0.6× 3.2k 0.6× 705 0.7× 526 0.7× 352 0.6× 51 5.2k
Tomohiko Maehama Japan 32 1.5k 0.2× 6.2k 1.1× 1.1k 1.1× 798 1.1× 937 1.6× 66 7.6k
Xiaomu Wei United States 20 2.9k 0.5× 3.4k 0.6× 819 0.8× 389 0.6× 229 0.4× 26 5.1k
Shengwen Calvin Li United States 27 4.4k 0.7× 4.8k 0.9× 421 0.4× 638 0.9× 334 0.6× 93 6.8k
Norikazu Yabuta Japan 30 2.0k 0.3× 3.4k 0.6× 714 0.7× 1.2k 1.7× 219 0.4× 68 4.9k
Carsten Gram Hansen United Kingdom 20 3.1k 0.5× 2.7k 0.5× 492 0.5× 339 0.5× 202 0.4× 35 4.4k
Shigeyuki Nada Japan 34 1.5k 0.2× 4.7k 0.9× 853 0.8× 380 0.5× 1.2k 2.1× 71 6.8k
Dirk Geerts Netherlands 44 1.2k 0.2× 3.4k 0.6× 708 0.7× 731 1.0× 690 1.2× 120 5.4k
Robert Ballotti France 58 4.8k 0.8× 5.3k 1.0× 1.8k 1.7× 1.0k 1.4× 1.5k 2.6× 143 9.9k

Countries citing papers authored by Fa‐Xing Yu

Since Specialization
Citations

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

Fields of papers citing papers by Fa‐Xing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fa‐Xing Yu. 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 Fa‐Xing Yu. The network helps show where Fa‐Xing Yu may publish in the future.

Co-authorship network of co-authors of Fa‐Xing Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Fa‐Xing Yu. A scholar is included among the top collaborators of Fa‐Xing Yu 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 Fa‐Xing Yu. Fa‐Xing Yu 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.
Marzi, Stefano, Ce Gao, Matthias Cavassini, et al.. (2025). Viral reservoir characteristics in lymphoid tissues of HIV-1 elite controllers. JCI Insight. 10(23).
2.
Wang, Xin, Yuan Gu, Zhenxing Zhong, et al.. (2025). Proteasome stress activates YAP/TAZ through the RAP2–MAP4Ks–LATS1/2 pathway and its therapeutic implications in solid tumors. Proceedings of the National Academy of Sciences. 122(51). e2517376122–e2517376122.
3.
Zhong, Zhenxing, et al.. (2024). The Hippo signaling pathway in development and regeneration. Cell Reports. 43(3). 113926–113926. 74 indexed citations breakdown →
4.
Zhong, Zhenxing, Yuwen Zhu, Mingyue Ma, et al.. (2023). Two Hippo signaling modules orchestrate liver size and tumorigenesis. The EMBO Journal. 42(11). e112126–e112126. 33 indexed citations
5.
Wang, Yu, Yuwen Zhu, Yue Chang, et al.. (2023). Proteolytic activation of angiomotin by DDI2 promotes angiogenesis. The EMBO Journal. 42(15). e112900–e112900. 8 indexed citations
6.
Yu, Pengcheng, Ning Qu, Rui Zhu, et al.. (2023). TERT accelerates BRAF mutant–induced thyroid cancer dedifferentiation and progression by regulating ribosome biogenesis. Science Advances. 9(35). eadg7125–eadg7125. 39 indexed citations
7.
Gu, Yuan, Yu Wang, Chenxi He, et al.. (2022). Transmembrane protein KIRREL1 regulates Hippo signaling via a feedback loop and represents a therapeutic target in YAP/TAZ-active cancers. Cell Reports. 40(9). 111296–111296. 23 indexed citations
8.
Tang, Tracy, Andrei W. Konradi, Ying Feng, et al.. (2021). Small Molecule Inhibitors of TEAD Auto-palmitoylation Selectively Inhibit Proliferation and Tumor Growth of NF2 -deficient Mesothelioma. Molecular Cancer Therapeutics. 20(6). 986–998. 147 indexed citations
9.
Shen, Ying, Xiaohong Wang, Yi Liu, et al.. (2021). STAT3-YAP/TAZ signaling in endothelial cells promotes tumor angiogenesis. Science Signaling. 14(712). eabj8393–eabj8393. 90 indexed citations
10.
Zheng, Chao, et al.. (2021). YAP Activation and Implications in Patients and a Mouse Model of Biliary Atresia. Frontiers in Pediatrics. 8. 618226–618226. 8 indexed citations
11.
Zhang, Xiaodan, Lulu Jiang, Jian Li, et al.. (2020). Site-Selective Phosphoglycerate Mutase 1 Acetylation by a Small Molecule. ACS Chemical Biology. 15(3). 632–639. 15 indexed citations
12.
Gu, Yuan, Lei Zhang, & Fa‐Xing Yu. (2017). Functions and regulations of the Hippo signaling pathway in intestinal homeostasis, regeneration and tumorigenesis.. PubMed. 39(7). 588–596. 2 indexed citations
13.
Wang, Yu, et al.. (2017). The Hippo pathway in tissue homeostasis and regeneration. Protein & Cell. 8(5). 349–359. 102 indexed citations
14.
Park, Hyun Woo, Young Chul Kim, Bo Yu, et al.. (2015). Alternative Wnt Signaling Activates YAP/TAZ. Cell. 162(4). 780–794. 554 indexed citations breakdown →
15.
Taniguchi, Koji, Li‐Wha Wu, Sergei I. Grivennikov, et al.. (2015). A gp130–Src–YAP module links inflammation to epithelial regeneration. Nature. 519(7541). 57–62. 502 indexed citations breakdown →
16.
Yu, Fa‐Xing, Yifan Zhang, Hyun Woo Park, et al.. (2013). Protein kinase A activates the Hippo pathway to modulate cell proliferation and differentiation. Genes & Development. 27(11). 1223–1232. 272 indexed citations
17.
Yu, Fa‐Xing, Bin Zhao, Nattapon Panupinthu, et al.. (2012). Regulation of the Hippo-YAP Pathway by G-Protein-Coupled Receptor Signaling. Cell. 150(4). 780–791. 1282 indexed citations breakdown →
18.
He, Hongpeng, et al.. (2011). CBP/p300 and SIRT1 Are Involved in Transcriptional Regulation of S-Phase Specific Histone Genes. PLoS ONE. 6(7). e22088–e22088. 18 indexed citations
19.
20.
Yu, Fa‐Xing, et al.. (2008). Histone 2B (H2B) Expression Is Confined to a Proper NAD+/NADH Redox Status. Journal of Biological Chemistry. 283(40). 26894–26901. 62 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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