Zhentao Yu

4.1k total citations · 1 hit paper
146 papers, 2.5k citations indexed

About

Zhentao Yu is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Zhentao Yu has authored 146 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Pulmonary and Respiratory Medicine, 60 papers in Surgery and 43 papers in Molecular Biology. Recurrent topics in Zhentao Yu's work include Esophageal Cancer Research and Treatment (52 papers), Gastric Cancer Management and Outcomes (36 papers) and Lung Cancer Diagnosis and Treatment (18 papers). Zhentao Yu is often cited by papers focused on Esophageal Cancer Research and Treatment (52 papers), Gastric Cancer Management and Outcomes (36 papers) and Lung Cancer Diagnosis and Treatment (18 papers). Zhentao Yu collaborates with scholars based in China, United States and United Kingdom. Zhentao Yu's co-authors include Peng Tang, Xing-Zhao Ye, Cheng‐Le Zhuang, Hongdian Zhang, Bicheng Chen, Xiaodong Zhang, Xianxian Wu, Zhilin Sui, Steven P. Balk and Xin Yuan and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Zhentao Yu

135 papers receiving 2.5k citations

Hit Papers

Enhanced Recovery After Surgery Programs Versus Tradition... 2013 2026 2017 2021 2013 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
Zhentao Yu China 22 983 813 796 590 456 146 2.5k
Naoki Okumura Japan 42 663 0.7× 1.6k 1.9× 1.1k 1.4× 663 1.1× 352 0.8× 222 6.2k
Wengen Chen United States 33 1.6k 1.6× 1.0k 1.3× 793 1.0× 786 1.3× 345 0.8× 82 3.7k
Takaaki Fujii Japan 28 774 0.8× 691 0.8× 535 0.7× 859 1.5× 558 1.2× 167 2.5k
Anastasios J. Karayiannakis Greece 36 1.2k 1.2× 1.5k 1.9× 851 1.1× 987 1.7× 479 1.1× 112 3.7k
Luka Brčić Austria 31 655 0.7× 563 0.7× 882 1.1× 606 1.0× 313 0.7× 143 2.5k
Yu‐Wen Tien Taiwan 31 1.2k 1.2× 582 0.7× 503 0.6× 1.4k 2.4× 417 0.9× 144 2.9k
Christina L. Roland United States 30 612 0.6× 945 1.2× 1.4k 1.8× 1.7k 2.9× 585 1.3× 126 3.6k
Matthias Anthuber Germany 29 1.5k 1.5× 905 1.1× 1.0k 1.3× 1.5k 2.5× 311 0.7× 156 3.9k
Antonio Nocito Switzerland 23 1.0k 1.0× 938 1.2× 465 0.6× 1.0k 1.7× 312 0.7× 59 2.9k
Robert Stöhr Germany 26 602 0.6× 1.2k 1.5× 438 0.6× 538 0.9× 789 1.7× 97 2.7k

Countries citing papers authored by Zhentao Yu

Since Specialization
Citations

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

Fields of papers citing papers by Zhentao Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhentao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhentao Yu. A scholar is included among the top collaborators of Zhentao 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 Zhentao Yu. Zhentao 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
2.
Chen, Ruiye, Xiaomin Zeng, Wenyi Hu, et al.. (2025). Accelerated retinal ageing and multimorbidity in middle-aged and older adults. GeroScience. 47(3). 4291–4300.
4.
Wang, Jiahui, et al.. (2024). Non-coding RNAs as potential mediators of resistance to lung cancer immunotherapy and chemotherapy. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 33(5). 1033–1054. 2 indexed citations
5.
Li, Yong, Yin Li, Jianhua Fu, et al.. (2024). Changes in the recent three decades and survey on the current status of surgical treatment for esophageal cancer in China. Thoracic Cancer. 15(22). 1705–1713. 2 indexed citations
6.
Yu, Zhentao, et al.. (2023). RNA structure and multiple weak interactions balance the interplay between RNA binding and phase separation of SARS-CoV-2 nucleocapsid. PNAS Nexus. 2(10). pgad333–pgad333. 13 indexed citations
7.
Ren, Shengnan, Yongli Dong, Weidong Ni, et al.. (2023). Protamine 1 as a secreted colorectal cancer-specific antigen facilitating G1/S phase transition under nutrient stress conditions. Cellular Oncology. 46(2). 357–373. 1 indexed citations
8.
Lu, Pei‐Hua, Yaoting Ji, Haiyan Qu, et al.. (2023). 19P Referral patterns among breast cancer patients in county-level hospitals in China. Annals of Oncology. 34. S1474–S1474.
9.
Liu, Weifang, Tianyou Luo, Zhentao Yu, et al.. (2022). A comprehensive comparison on cell-type composition inference for spatial transcriptomics data. Briefings in Bioinformatics. 23(4). 43 indexed citations
10.
Yu, Zhentao, et al.. (2022). Data-mining based assembly of promising metal-organic frameworks on Xe/Kr separation. Separation and Purification Technology. 304. 122357–122357. 6 indexed citations
11.
Yang, Yueyang, Peng Tang, Hongdian Zhang, et al.. (2022). Comparison of clinicopathological features and prognostic significance between synchronous multiple primary and solitary esophageal squamous cell carcinomas. BMC Cancer. 22(1). 1191–1191. 2 indexed citations
12.
Wang, Ying, Haiyan Sun, Xianxian Wu, et al.. (2021). Myeloid-Derived Suppressor Cells in Immune Microenvironment Promote Progression of Esophagogastric Junction Adenocarcinoma. Frontiers in Oncology. 11. 640080–640080. 6 indexed citations
13.
Zhao, Zhiqiang, et al.. (2020). 29P Genomic features of Chinese lung squamous cell carcinoma patients. Annals of Oncology. 31. S253–S253. 1 indexed citations
14.
Chen, Chuangui, Zhao Ma, Hongdian Zhang, Xiaoqiong Liu, & Zhentao Yu. (2017). Krüppel-Like Factor 4 Enhances Sensitivity of Cisplatin to Esophageal Squamous Cell Carcinoma (ESCC) Cells. Medical Science Monitor. 23. 3353–3359. 8 indexed citations
16.
Yu, Zhentao, Hongdian Zhang, Peng Tang, & Chuangui Chen. (2014). Expression and clinical significance of hypoxia inducible factor-1 a and chemokine receptor 4 in esophageal squamous carcinoma. Zhonghua shiyan waike zazhi. 31(11). 2469–2472. 1 indexed citations
17.
Hu, Shanshan, Hongdian Zhang, Chuangui Chen, Yi Ba, & Zhentao Yu. (2013). Expression and clinical significance of BNIP3 and HIF-1α in esophageal squamous cell carcinoma. Clinical Oncology and Cancer Research. 40(9). 517–520. 1 indexed citations
18.
Zhang, Hongdian, Zhao Ma, Peng Tang, et al.. (2013). Primary esophageal adenosquamous carcinoma: a retrospective analysis of 24 cases. Diseases of the Esophagus. 27(8). 783–789. 19 indexed citations
19.
Tang, Peng, et al.. (2012). [Effect of HMGB1 on the VEGF-C expression and proliferation of esophageal squamous cancer cells].. PubMed. 34(8). 566–70. 8 indexed citations
20.
Chen, Chuangui & Zhentao Yu. (2009). siRNA targeting HIF-1alpha induces apoptosis of pancreatic cancer cells through NF-kappaB-independent and -dependent pathways under hypoxic conditions.. PubMed. 29(4). 1367–72. 20 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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