Xun Yao

1.2k total citations
29 papers, 928 citations indexed

About

Xun Yao is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Xun Yao has authored 29 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 6 papers in Molecular Biology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Xun Yao's work include Colorectal Cancer Surgical Treatments (5 papers), Gastric Cancer Management and Outcomes (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Xun Yao is often cited by papers focused on Colorectal Cancer Surgical Treatments (5 papers), Gastric Cancer Management and Outcomes (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Xun Yao collaborates with scholars based in China, Italy and United Kingdom. Xun Yao's co-authors include Liang Du, Mao‐Ling Wei, Yong Zhou, Xin Sun, Yajie Dong, Antonio Nicolucci, Haoming Tian, Yuan Wu, Joey S.W. Kwong and Giacomo Vespasiani and has published in prestigious journals such as Ophthalmology, International Journal of Cancer and European Journal of Cancer.

In The Last Decade

Xun Yao

28 papers receiving 902 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xun Yao China 15 282 196 189 179 174 29 928
Joana C. Vasconcelos United Kingdom 18 76 0.3× 62 0.3× 182 1.0× 80 0.4× 75 0.4× 34 905
Jenna Bollyky United States 15 80 0.3× 295 1.5× 271 1.4× 58 0.3× 208 1.2× 31 1.0k
Paul E. Knudson United States 10 200 0.7× 323 1.6× 98 0.5× 63 0.4× 99 0.6× 21 766
Mohammed Ashraf Egypt 18 127 0.5× 154 0.8× 74 0.4× 66 0.4× 100 0.6× 46 1.0k
Chi‐Wen Chang Taiwan 16 61 0.2× 70 0.4× 57 0.3× 58 0.3× 136 0.8× 36 620
Andrew Hamer United States 17 105 0.4× 190 1.0× 656 3.5× 16 0.1× 102 0.6× 41 1.2k
Weranja Ranasinghe Australia 17 59 0.2× 32 0.2× 209 1.1× 197 1.1× 121 0.7× 68 890
Xingbo Mo China 19 310 1.1× 284 1.4× 87 0.5× 81 0.5× 581 3.3× 68 1.4k
Shuoming Luo China 18 173 0.6× 477 2.4× 396 2.1× 32 0.2× 312 1.8× 59 1.1k
Lucy Chaillous France 17 173 0.6× 895 4.6× 664 3.5× 28 0.2× 111 0.6× 44 1.5k

Countries citing papers authored by Xun Yao

Since Specialization
Citations

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

Fields of papers citing papers by Xun Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xun Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Xun Yao. A scholar is included among the top collaborators of Xun Yao 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 Xun Yao. Xun Yao 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.
Yuan, Peng, Xun Yao, Jingjing Cui, et al.. (2023). A Machine Learning‐Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2‐Weighted and Diffusion‐Weighted MRI. Journal of Magnetic Resonance Imaging. 60(2). 600–612. 7 indexed citations
3.
Zou, Xiantong, Wei Zhao, Xun Yao, et al.. (2023). Adrenal limb thickness is associated with metabolism profiles in patients with diabetes: A cross‐sectional study. Journal of Diabetes. 16(2). e13479–e13479. 2 indexed citations
4.
Wei, Shengcai, Yiqun Liu, Yinli Zhang, et al.. (2022). Detecting and monitoring tumors in orthotopic colorectal liver metastatic animal models with high-resolution ultrasound. Clinical & Experimental Metastasis. 39(5). 771–781. 2 indexed citations
5.
Yao, Xun, Caixia Sun, Fei Xiong, et al.. (2020). Radiomic signature-based nomogram to predict disease-free survival in stage II and III colon cancer. European Journal of Radiology. 131. 109205–109205. 14 indexed citations
6.
Zhang, Xin, Qian Yu, Xun Yao, et al.. (2019). Effects of Nicorandil on All-Cause Mortality and Cardiac Events in CAD Patients Receiving PCI. International Heart Journal. 60(4). 886–898. 7 indexed citations
7.
8.
Wu, Yuan, Xun Yao, Giacomo Vespasiani, et al.. (2017). Mobile App-Based Interventions to Support Diabetes Self-Management: A Systematic Review of Randomized Controlled Trials to Identify Functions Associated with Glycemic Efficacy. JMIR mhealth and uhealth. 5(3). e35–e35. 208 indexed citations
9.
Yao, Xun, et al.. (2016). Prognostic significance of computed tomography-detected extramural vascular invasion in colon cancer. World Journal of Gastroenterology. 22(31). 7157–7157. 22 indexed citations
10.
Chen, Yuehong, Liang Du, Ling Li, et al.. (2016). Cancer risk of sulfonylureas in patients with type 2 diabetes mellitus: A systematic review. Journal of Diabetes. 9(5). 482–494. 25 indexed citations
11.
Yao, Xun, et al.. (2015). Interleukin-10 polymorphisms associated with susceptibility to acute myeloid leukemia. Genetics and Molecular Research. 14(1). 925–930. 20 indexed citations
12.
Zhou, Yong, Ni Li, Zhuang Wen, et al.. (2009). Glutathione S-transferase P1 gene polymorphism associated with gastric cancer among Caucasians. European Journal of Cancer. 45(8). 1438–1442. 22 indexed citations
13.
Wang, Hong, Yong Zhou, Wen Zhuang, et al.. (2009). Glutathione S-Transferase M1 Null Genotype Associated with Gastric Cancer Among Asians. Digestive Diseases and Sciences. 55(7). 1824–1830. 22 indexed citations
14.
Zhuang, Wen, Xiaoting Wu, Yong Zhou, et al.. (2009). Interleukin10 -592 Promoter Polymorphism Associated with Gastric Cancer Among Asians: A Meta-Analysis of Epidemiologic Studies. Digestive Diseases and Sciences. 55(6). 1525–1532. 25 indexed citations
15.
Zhuang, Wen, Xiaoting Wu, Yong Zhou, et al.. (2008). Polymorphisms of Thymidylate Synthase in the 5′- and 3′-Untranslated Regions and Gastric Cancer. Digestive Diseases and Sciences. 54(7). 1379–1385. 7 indexed citations
16.
Zhou, Yong, Ni Li, Wen Zhuang, et al.. (2008). Interleukin-10 -1082 promoter polymorphism associated with gastric cancer among Asians. European Journal of Cancer. 44(17). 2648–2654. 38 indexed citations
17.
Li, Ni, Xiaohong Chen, Junjun Zhang, et al.. (2007). Effect of AcrySof versus Silicone or Polymethyl Methacrylate Intraocular Lens on Posterior Capsule Opacification. Ophthalmology. 115(5). 830–838. 36 indexed citations
18.
Li, Feng, Na Zhao, Xun Yao, et al.. (2007). Histidine-tryptophan-ketoglutarate solution vs. University of Wisconsin solution for liver transplantation: A systematic review. Liver Transplantation. 13(8). 1125–1136. 66 indexed citations
19.
Zhou, Yong, Ni Li, Wen Zhuang, et al.. (2007). P53 codon 72 polymorphism and gastric cancer: A meta‐analysis of the literature. International Journal of Cancer. 121(7). 1481–1486. 112 indexed citations
20.

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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