Yu Fu

3.5k total citations · 1 hit paper
48 papers, 1.6k citations indexed

About

Yu Fu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yu Fu has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Yu Fu's work include Cancer-related gene regulation (5 papers), RNA Research and Splicing (5 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). Yu Fu is often cited by papers focused on Cancer-related gene regulation (5 papers), RNA Research and Splicing (5 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). Yu Fu collaborates with scholars based in China, United States and United Kingdom. Yu Fu's co-authors include Harald Vöhringer, Alexander W. Jung, Mercedes Jimenez‐Liñan, Lucy Yates, Artem Shmatko, Moritz Gerstung, Ramón Viñas, Santiago González, Luiza Moore and Chi‐Huey Wong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Yu Fu

48 papers receiving 1.6k citations

Hit Papers

Pan-cancer computational histopathology reveals mutations... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Fu China 20 818 228 217 210 197 48 1.6k
Nehmé El-Hachem Canada 19 892 1.1× 285 1.3× 103 0.5× 76 0.4× 351 1.8× 50 1.9k
Sangsoo Kim South Korea 22 1.2k 1.4× 178 0.8× 51 0.2× 138 0.7× 211 1.1× 73 2.3k
Rency S. Varghese United States 23 1.4k 1.7× 325 1.4× 54 0.2× 88 0.4× 111 0.6× 66 1.8k
Xiong Li China 24 1.3k 1.6× 410 1.8× 29 0.1× 66 0.3× 83 0.4× 45 1.9k
Yong‐Moon Lee South Korea 19 549 0.7× 171 0.8× 49 0.2× 44 0.2× 30 0.2× 85 1.2k
Shaopeng Wang China 18 825 1.0× 297 1.3× 59 0.3× 50 0.2× 30 0.2× 43 1.2k
Fu Ou‐Yang Taiwan 20 1.3k 1.6× 401 1.8× 37 0.2× 45 0.2× 103 0.5× 45 2.0k
Aristotelis Chatziioannou Greece 23 938 1.1× 268 1.2× 71 0.3× 35 0.2× 142 0.7× 118 1.8k
Yukiko Matsuoka Japan 19 879 1.1× 96 0.4× 35 0.2× 45 0.2× 95 0.5× 33 1.6k

Countries citing papers authored by Yu Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Fu. A scholar is included among the top collaborators of Yu Fu 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 Yu Fu. Yu Fu 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.
Fu, Yu, Marie Karanian, Raul Perret, et al.. (2023). Deep learning predicts patients outcome and mutations from digitized histology slides in gastrointestinal stromal tumor. npj Precision Oncology. 7(1). 71–71. 10 indexed citations
3.
Fu, Yu, Alexander W. Jung, Ramón Viñas, et al.. (2020). Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis. Nature Cancer. 1(8). 800–810. 367 indexed citations breakdown →
4.
Chen, Qi, Ying Chao, Weiwei Zhang, et al.. (2020). Activation of estrogen receptor α (ERα) is required for Alisol B23-acetate to prevent post-menopausal atherosclerosis and reduced lipid accumulation. Life Sciences. 258. 118030–118030. 18 indexed citations
5.
Zhong, Qicheng, Yu Fu, & Guilian Zhang. (2019). Biomass estimation and a dynamic analysis of forests in Shanghai. 36(3). 524–532. 2 indexed citations
6.
Fu, Yu, Barry Zorman, Pavel Sumazin, Pietro Paolo Sanna, & Vez Repunte‐Canonigo. (2019). Epitranscriptomics: Correlation of N6-methyladenosine RNA methylation and pathway dysregulation in the hippocampus of HIV transgenic rats. PLoS ONE. 14(1). e0203566–e0203566. 11 indexed citations
7.
Guglielmo, Giordano de, Yu Fu, Tomoya Kawamura, et al.. (2019). Increases in compulsivity, inflammation, and neural injury in HIV transgenic rats with escalated methamphetamine self-administration under extended-access conditions. Brain Research. 1726. 146502–146502. 17 indexed citations
8.
Xiong, Wei, Jun Ouyang, Hai Ci, et al.. (2018). The predictive value of serum neopterin for multiple organ dysfunction syndrome in severe burn patients. Pteridines. 29(1). 196–200. 1 indexed citations
9.
Zhang, Meng, Xiaofu Qiu, Bingwei Wang, et al.. (2017). Upregulation of FBXW7 Suppresses Renal Cancer Metastasis and Epithelial Mesenchymal Transition. Disease Markers. 2017. 1–7. 17 indexed citations
10.
Fu, Yu, You-Cheng Lin, Yang Zhao, et al.. (2015). FBXW7 overexpression suppresses renal cancer cell proliferation and induces apoptosis. Medical Oncology. 32(8). 215–215. 15 indexed citations
11.
Hildebrandt, Ellen, Qinghai Zhang, Haitao Ding, et al.. (2014). A survey of detergents for the purification of stable, active human cystic fibrosis transmembrane conductance regulator (CFTR). Biochimica et Biophysica Acta (BBA) - Biomembranes. 1838(11). 2825–2837. 16 indexed citations
12.
Chu, Qiqi, Yu Fu, Xi Chen, et al.. (2014). Dkk2/Frzb in the dermal papillae regulates feather regeneration. Developmental Biology. 387(2). 167–178. 32 indexed citations
13.
Zhu, Guixin, Miao Ding, Libing Mu, et al.. (2014). DNA Damage Induces the Accumulation of Tiam1 by Blocking β-TrCP-dependent Degradation. Journal of Biological Chemistry. 289(22). 15482–15494. 17 indexed citations
14.
Lee, Sung Chang, B. Bennett, Wen‐Xu Hong, et al.. (2013). Steroid-based facial amphiphiles for stabilization and crystallization of membrane proteins. Proceedings of the National Academy of Sciences. 110(13). E1203–11. 119 indexed citations
15.
Fu, Yu, Binlu Huang, Zhen Shi, et al.. (2013). SRSF1 and SRSF9 RNA binding proteins promote Wnt signalling‐mediated tumorigenesis by enhancing β‐catenin biosynthesis. EMBO Molecular Medicine. 5(5). 737–750. 88 indexed citations
16.
Zhang, Qinghai, Yu Fu, Yue Weng, & Wen‐Xu Hong. (2011). Efficient Synthesis of Unsaturated 1-Monoacyl Glycerols for in meso Crystallization of Membrane Proteins. Synlett. 2011(6). 809–812. 13 indexed citations
17.
Wang, Ying, Yu Fu, Lei Gao, et al.. (2010). Xenopus Skip Modulates Wnt/β-Catenin Signaling and Functions in Neural Crest Induction. Journal of Biological Chemistry. 285(14). 10890–10901. 29 indexed citations
18.
Lewis, Jared C., Simone M. Mantovani, Yu Fu, et al.. (2010). Combinatorial Alanine Substitution Enables Rapid Optimization of Cytochrome P450BM3 for Selective Hydroxylation of Large Substrates. ChemBioChem. 11(18). 2502–2505. 95 indexed citations
19.
Fu, Yu. (2008). Plant Community Structure at an Early Ecological Restoration Stage On an Abandoned Quarry in Sibao Mount. Zhongnan Linye Keji Daxue xuebao. 3 indexed citations
20.
Ding, Xiaorong, Jianchun Yu, Tao Yu, Yu Fu, & Jingxian Han. (2006). Acupuncture regulates the aging-related changes in gene profile expression of the hippocampus in senescence-accelerated mouse (SAMP10). Neuroscience Letters. 399(1-2). 11–16. 30 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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