Yu Chen

29.5k total citations · 3 hit papers
171 papers, 9.4k citations indexed

About

Yu Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Yu Chen has authored 171 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 77 papers in Pulmonary and Respiratory Medicine and 27 papers in Oncology. Recurrent topics in Yu Chen's work include Prostate Cancer Treatment and Research (36 papers), Ubiquitin and proteasome pathways (11 papers) and Ferroptosis and cancer prognosis (10 papers). Yu Chen is often cited by papers focused on Prostate Cancer Treatment and Research (36 papers), Ubiquitin and proteasome pathways (11 papers) and Ferroptosis and cancer prognosis (10 papers). Yu Chen collaborates with scholars based in United States, China and Israel. Yu Chen's co-authors include Charles L. Sawyers, Howard I. Scher, John Wongvipat, Dong Gao, Nicola J. Clegg, Philip A. Watson, Vivek Arora, Derek S. Welsbie, Wolfgang G. Junger and Hans Clevers and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Yu Chen

160 papers receiving 9.2k citations

Hit Papers

Development of a Second-Generation Antiandrogen for Treat... 2009 2026 2014 2020 2009 2014 2016 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
Yu Chen United States 45 4.3k 3.7k 2.0k 1.7k 1.4k 171 9.4k
Atsushi Mizokami Japan 49 3.4k 0.8× 3.4k 0.9× 2.4k 1.2× 1.4k 0.8× 1.1k 0.8× 386 8.8k
Bruce Montgomery United States 47 3.2k 0.7× 6.1k 1.6× 3.6k 1.8× 3.2k 1.9× 1.0k 0.7× 244 10.4k
Marc K. Halushka United States 56 4.4k 1.0× 2.4k 0.7× 1.8k 0.9× 2.2k 1.4× 1.9k 1.3× 215 11.8k
Anders Bergh Sweden 58 4.7k 1.1× 4.3k 1.2× 2.1k 1.1× 2.3k 1.4× 1.2k 0.8× 345 12.4k
Phillip A. Dennis United States 49 7.6k 1.8× 2.5k 0.7× 4.6k 2.3× 2.2k 1.3× 538 0.4× 137 12.4k
Maria Tsokos United States 69 5.3k 1.2× 3.5k 0.9× 3.7k 1.8× 1.4k 0.9× 828 0.6× 244 15.2k
Athanassios P. Kyritsis United States 48 3.2k 0.7× 1.5k 0.4× 2.0k 1.0× 1.1k 0.7× 1.2k 0.8× 173 7.9k
Diether Lambrechts Belgium 53 6.3k 1.5× 2.1k 0.6× 3.9k 2.0× 2.8k 1.7× 1.2k 0.8× 296 14.4k
Candace S. Johnson United States 49 2.9k 0.7× 1.0k 0.3× 1.8k 0.9× 959 0.6× 1.6k 1.1× 176 8.1k
Toshihiro Nukiwa Japan 56 4.3k 1.0× 5.7k 1.5× 4.1k 2.0× 1.7k 1.0× 567 0.4× 252 12.8k

Countries citing papers authored by Yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Chen. A scholar is included among the top collaborators of Yu Chen 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 Chen. Yu Chen 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.
Xu, Tingting, Zhuquan Su, Liya Lu, et al.. (2024). Efficacy and Safety of Platelet-Rich Plasma on Bronchopleural Fistula: A Pilot Prospective Cohort Study. Archivos de Bronconeumología. 61(3). 132–137. 1 indexed citations
2.
Huber, Thomas, et al.. (2024). The role of signaling pathways mediated by the GPCRs CysLTR1/2 in melanocyte proliferation and senescence. Science Signaling. 17(854). eadp3967–eadp3967. 1 indexed citations
3.
Su, Qian, Yuchun Li, Xinyuan Liu, et al.. (2024). Rewiring of Uric Acid Metabolism in the Intestine Promotes High-Altitude Hypoxia Adaptation in Humans. Molecular Biology and Evolution. 41(11). 6 indexed citations
4.
Ran, Leili, Amish J. Patel, Juan Yan, et al.. (2024). MEK Inhibitors Lead to PDGFR Pathway Upregulation and Sensitize Tumors to RAF Dimer Inhibitors in NF1-Deficient Malignant Peripheral Nerve Sheath Tumor. Clinical Cancer Research. 30(22). 5154–5165. 2 indexed citations
5.
Li, Fei, Xudong Xing, Xiang‐Ming Wang, et al.. (2024). Sex differences orchestrated by androgens at single-cell resolution. Nature. 629(8010). 193–200. 30 indexed citations
7.
Han, Xinwei, et al.. (2023). Characteristics of m6A-related LncRNAs in breast cancer as prognostic biomarkers and immunotherapy. Journal of Cancer. 14(15). 2919–2930. 1 indexed citations
8.
9.
Ma, Xiaodi, Yu Chen, Xiangping Qu, et al.. (2022). The Role of DNA Damage and Repair in Idiopathic Pulmonary Fibrosis. Antioxidants. 11(11). 2292–2292. 17 indexed citations
10.
Mao, Ninghui, Zeda Zhang, Young Sun Lee, et al.. (2021). Defining the therapeutic selective dependencies for distinct subtypes of PI3K pathway-altered prostate cancers. Nature Communications. 12(1). 5053–5053. 18 indexed citations
11.
Dhimolea, Eugen, Ricardo De Matos Simoes, Xiang Weng, et al.. (2020). Pleiotropic Mechanisms Drive Endocrine Resistance in the Three-Dimensional Bone Microenvironment. Cancer Research. 81(2). 371–383. 12 indexed citations
12.
Ceraudo, Emilie, Tyler D. Hitchman, Amanda R. Moore, et al.. (2020). Direct evidence that the GPCR CysLTR2 mutant causative of uveal melanoma is constitutively active with highly biased signaling. Journal of Biological Chemistry. 296. 100163–100163. 32 indexed citations
13.
Mao, Ninghui, Dong Gao, Wenhuo Hu, et al.. (2020). Oncogenic ERG Represses PI3K Signaling through Downregulation of IRS2. Cancer Research. 80(7). 1428–1437. 8 indexed citations
14.
He, Yundong, Yinhui Yang, Zhenqing Ye, et al.. (2018). TMPRSS2-ERG Controls Luminal Epithelial Lineage and Antiandrogen Sensitivity in PTEN and TP53 -Mutated Prostate Cancer. Clinical Cancer Research. 24(18). 4551–4565. 51 indexed citations
15.
Ran, Leili, Devan Murphy, Jessica Sher, et al.. (2017). ETV1-Positive Cells Give Rise to BRAFV600E -Mutant Gastrointestinal Stromal Tumors. Cancer Research. 77(14). 3758–3765. 12 indexed citations
16.
Ran, Leili, Inna Sirota, Zhen Cao, et al.. (2015). Combined Inhibition of MAP Kinase and KIT Signaling Synergistically Destabilizes ETV1 and Suppresses GIST Tumor Growth. Cancer Discovery. 5(3). 304–315. 93 indexed citations
17.
Cato, Laura, Antje Neeb, Claudia Muhle‐Goll, et al.. (2014). Coregulator Control of Androgen Receptor Action by a Novel Nuclear Receptor-binding Motif. Journal of Biological Chemistry. 289(13). 8839–8851. 40 indexed citations
18.
Duca, Danny Del, et al.. (2011). Abstract 10257: Nuclear Angiotensin-II Receptor Gene Expression in Cardiac Fibroblasts: Receptor Subtype-Specific Differential Role of IP-3-Receptor (IP3R) Related and Nitric Oxide Signaling. Circulation. 124. 1 indexed citations
19.
Welsbie, Derek S., Jin Xu, Yu Chen, et al.. (2009). Histone Deacetylases Are Required for Androgen Receptor Function in Hormone-Sensitive and Castrate-Resistant Prostate Cancer. Cancer Research. 69(3). 958–966. 144 indexed citations
20.
Tran, Chris, Samedy Ouk, Nicola J. Clegg, et al.. (2009). Development of a Second-Generation Antiandrogen for Treatment of Advanced Prostate Cancer. Science. 324(5928). 787–790. 1689 indexed citations breakdown →

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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