Yuan Chen

8.9k total citations
205 papers, 4.0k citations indexed

About

Yuan Chen is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yuan Chen has authored 205 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 58 papers in Oncology and 21 papers in Cancer Research. Recurrent topics in Yuan Chen's work include Drug Transport and Resistance Mechanisms (13 papers), Nanoparticle-Based Drug Delivery (9 papers) and Cancer Treatment and Pharmacology (9 papers). Yuan Chen is often cited by papers focused on Drug Transport and Resistance Mechanisms (13 papers), Nanoparticle-Based Drug Delivery (9 papers) and Cancer Treatment and Pharmacology (9 papers). Yuan Chen collaborates with scholars based in China, United States and Germany. Yuan Chen's co-authors include Iver Petersen, Thomas Knösel, Ruitang Deng, Agnieszka Piętas, Iwata Ozaki, Mitchell Garber, Sachiko Matsuhashi, Glen Kristiansen, Bingfang Yan and Leila Valanejad and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Circulation.

In The Last Decade

Yuan Chen

191 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuan Chen China 34 2.0k 676 449 371 358 205 4.0k
Min Zhang China 32 1.5k 0.8× 578 0.9× 579 1.3× 323 0.9× 476 1.3× 209 4.1k
Lirong Zhang China 36 2.1k 1.1× 628 0.9× 882 2.0× 285 0.8× 395 1.1× 202 4.3k
Gang� Li China 33 1.5k 0.8× 378 0.6× 501 1.1× 533 1.4× 289 0.8× 226 3.8k
Alessandra di Masi Italy 31 2.6k 1.3× 748 1.1× 286 0.6× 214 0.6× 282 0.8× 118 4.7k
Jing Hu China 32 1.9k 1.0× 627 0.9× 825 1.8× 429 1.2× 244 0.7× 175 3.9k
Xiaofei Chen China 36 2.2k 1.1× 425 0.6× 346 0.8× 350 0.9× 199 0.6× 203 4.2k
Jianfeng Li China 34 1.7k 0.9× 961 1.4× 680 1.5× 550 1.5× 324 0.9× 162 4.7k
Afsane Bahrami Iran 32 1.7k 0.9× 600 0.9× 867 1.9× 432 1.2× 327 0.9× 144 3.9k
Min Jia China 36 1.8k 0.9× 316 0.5× 334 0.7× 245 0.7× 218 0.6× 137 4.3k
Dan Li China 38 1.8k 0.9× 385 0.6× 518 1.2× 443 1.2× 548 1.5× 183 4.5k

Countries citing papers authored by Yuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Chen. A scholar is included among the top collaborators of Yuan 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 Yuan Chen. Yuan 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.
Ren, Juan, Jiangtao Li, Xiaodan Liu, et al.. (2025). Tandem Versus Single Autologous Stem Cell Transplantation for High‐Risk Multiple Myeloma in the Era of Novel Agents: A Real‐World Study of China. Cancer Medicine. 14(1). e70573–e70573. 1 indexed citations
4.
Fan, Xing‐Xing, et al.. (2024). Biodegradation of different keratin waste by newly isolated thermophilic Brevibacillus gelatini LD5: Insights into the degradation mechanism based on genomic analysis and keratin structural changes. International Journal of Biological Macromolecules. 283(Pt 4). 137757–137757. 5 indexed citations
5.
Ferraro, Emanuela, Atif J. Khan, George Plitas, et al.. (2024). Abstract PO3-04-07: Characterization of response to first-line chemotherapy, trastuzumab, and pertuzumab among patients with de novo metastatic HER2-positive breast cancer. Cancer Research. 84(9_Supplement). PO3–4. 1 indexed citations
6.
Duan, Hong, Han Li, Tianyi Liu, et al.. (2024). Exploring the Molecular Mechanism of Schisandrin C for the Treatment of Atherosclerosis via the PI3K/AKT/mTOR Autophagy Pathway. ACS Omega. 9(30). 32920–32930. 8 indexed citations
7.
Shen, Sherry, et al.. (2024). Sequential use of PI3K/AKT/mTOR pathway inhibitors alpelisib and everolimus in patients with hormone receptor-positive (HR+) metastatic breast cancer.. Journal of Clinical Oncology. 42(16_suppl). 1057–1057. 1 indexed citations
8.
Bange, Erin M., Allison Lipitz‐Snyderman, Gilad J. Kuperman, et al.. (2024). Transforming patient-centered cancer care using telehealth: the MATCHES Center. JNCI Monographs. 2024(64). 76–82. 2 indexed citations
9.
Wang, Ming-Da, Yuan Chen, Yingjian Liang, et al.. (2023). Efficacy of ginseng-based Renshenguben oral solution for cancer-related fatigue among patients with advanced-stage hepatocellular carcinoma: A prospective multicenter cohort study. Hepatobiliary & pancreatic diseases international. 23(3). 249–256. 1 indexed citations
10.
Wang, Yu-tong, Shan Gao, Lijuan Fang, et al.. (2023). Vitamin D deficiency linked to abnormal bone and lipid metabolism predicts high-risk multiple myeloma with poorer prognosis. Frontiers in Endocrinology. 14. 1157969–1157969. 5 indexed citations
11.
12.
Cheng, Ying, Qing Zhou, Baohui Han, et al.. (2023). NEPTUNE China cohort: First-line durvalumab plus tremelimumab in Chinese patients with metastatic non-small-cell lung cancer. Lung Cancer. 178. 87–95. 6 indexed citations
13.
Chen, Yuan, et al.. (2023). Crystal structures of dimeric and heptameric mtHsp60 reveal the mechanism of chaperonin inactivation. Life Science Alliance. 6(6). e202201753–e202201753. 2 indexed citations
14.
Zhang, Xiaowei, Huazhang Miao, Yuan Chen, et al.. (2023). Association between preconception anti-androgen therapy and pregnancy outcomes of patients with PCOS: A prospective cohort study. Frontiers in Endocrinology. 14. 1109861–1109861. 5 indexed citations
15.
Chen, Yuan, et al.. (2022). Risk and predictive factors for severe dengue infection: A systematic review and meta-analysis. PLoS ONE. 17(4). e0267186–e0267186. 49 indexed citations
16.
Lu, Chao, Shuai Gao, Peng Zhang, et al.. (2021). Two types of immune infiltrating cells and six hub genes can predict the occurrence of myasthenia gravis in patients with thymoma. Bioengineered. 12(1). 5004–5016. 4 indexed citations
17.
Tian, Yijun, Qian Liu, Shengnan Yu, et al.. (2020). NRF2-Driven KEAP1 Transcription in Human Lung Cancer. Molecular Cancer Research. 18(10). 1465–1476. 11 indexed citations
18.
Zhang, Xinmu, Christina Nadolny, Yuan Chen, et al.. (2020). Dysregulation of bile acids increases the risk for preterm birth in pregnant women. Nature Communications. 11(1). 2111–2111. 33 indexed citations
19.
Zhang, Shizhu, Yuan Chen, Zhihua Ma, et al.. (2017). PtaB, a lim-domain binding protein inAspergillus fumigatusregulates biofilm formation and conidiation through distinct pathways. Cellular Microbiology. 20(1). e12799–e12799. 16 indexed citations
20.
Ren, Zhaorui, Wen Tao Yang, Yuan Chen, et al.. (2002). Characterization of a novel plasmid pXZ608 fromCorynebacterium glutamicum. FEMS Microbiology Letters. 216(1). 71–75. 4 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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