Xiuzhong Yao

1.2k total citations · 1 hit paper
27 papers, 956 citations indexed

About

Xiuzhong Yao is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Xiuzhong Yao has authored 27 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Oncology. Recurrent topics in Xiuzhong Yao's work include Liver Disease Diagnosis and Treatment (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Diet, Metabolism, and Disease (5 papers). Xiuzhong Yao is often cited by papers focused on Liver Disease Diagnosis and Treatment (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Diet, Metabolism, and Disease (5 papers). Xiuzhong Yao collaborates with scholars based in China and Ethiopia. Xiuzhong Yao's co-authors include Hongmei Yan, Mingfeng Xia, Shengxiang Rao, Xin Gao, Mengsu Zeng, Yixian Guo, Mengmeng Jiang, Yinglong Guo, Weiping Jia and Hua Bian and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Journal of Hepatology.

In The Last Decade

Xiuzhong Yao

27 papers receiving 945 citations

Hit Papers

PKCα/ZFP64/CSF1 axis resets the tumor microenvironment an... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiuzhong Yao China 14 415 231 215 209 175 27 956
Chee Leong Cheng Singapore 16 361 0.9× 57 0.2× 100 0.5× 230 1.1× 193 1.1× 36 1.0k
Qian Dong China 22 239 0.6× 93 0.4× 413 1.9× 108 0.5× 35 0.2× 80 1.3k
Tatsunori Miyata Japan 20 447 1.1× 53 0.2× 106 0.5× 315 1.5× 626 3.6× 91 1.5k
Kyle J. Thompson United States 19 294 0.7× 32 0.1× 61 0.3× 266 1.3× 156 0.9× 60 998
Young Youn Cho South Korea 20 642 1.5× 62 0.3× 43 0.2× 198 0.9× 126 0.7× 66 1.1k
Arlène K. van Vliet Netherlands 17 342 0.8× 59 0.3× 74 0.3× 166 0.8× 100 0.6× 27 1.1k
Jan Best Germany 20 688 1.7× 43 0.2× 125 0.6× 264 1.3× 214 1.2× 56 1.2k
Chong Zhong China 17 207 0.5× 57 0.2× 28 0.1× 236 1.1× 185 1.1× 66 878
David R. Crowe United States 18 285 0.7× 34 0.1× 51 0.2× 103 0.5× 244 1.4× 31 973

Countries citing papers authored by Xiuzhong Yao

Since Specialization
Citations

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

Fields of papers citing papers by Xiuzhong Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiuzhong Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiuzhong Yao. A scholar is included among the top collaborators of Xiuzhong 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 Xiuzhong Yao. Xiuzhong 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.
Sun, Xiaoyang, Li Fan, Hongmei Yan, et al.. (2024). Intermittent compared with continuous calorie restriction for treatment of metabolic dysfunction-associated steatotic liver disease: a randomized clinical trial. American Journal of Clinical Nutrition. 121(1). 158–166. 5 indexed citations
2.
Wang, Ruwen, Jian Gao, Jiaojiao Liu, et al.. (2023). Insulin Glargine is More Suitable Than Exenatide in Preventing Muscle Loss in Non-Obese Type 2 Diabetic Patients with NAFLD. Experimental and Clinical Endocrinology & Diabetes. 131(11). 583–588. 3 indexed citations
3.
Chen, Jiejun, Yixian Guo, Yunfei Zhang, et al.. (2022). Preoperative identification of cytokeratin 19 status of hepatocellular carcinoma based on diffusion kurtosis imaging. Abdominal Radiology. 48(2). 579–589. 9 indexed citations
5.
Wei, Chuanyuan, Meng-Xuan Zhu, Pengfei Zhang, et al.. (2022). PKCα/ZFP64/CSF1 axis resets the tumor microenvironment and fuels anti-PD1 resistance in hepatocellular carcinoma. Journal of Hepatology. 77(1). 163–176. 114 indexed citations breakdown →
7.
Yang, Xinyu, Xinxia Chang, Shengdi Wu, et al.. (2021). Performance of liver stiffness measurements obtained with FibroScan is affected by glucose metabolism in patients with nonalcoholic fatty liver disease. Lipids in Health and Disease. 20(1). 27–27. 13 indexed citations
8.
Guo, Yixian, Qiong Song, Mengmeng Jiang, et al.. (2020). Histological Subtypes Classification of Lung Cancers on CT Images Using 3D Deep Learning and Radiomics. Academic Radiology. 28(9). e258–e266. 62 indexed citations
9.
Yao, Xiuzhong, et al.. (2020). Solubilization of Hexyl Aminolevulinate by Surfactants for Tumor Fluorescence Detection. Photochemistry and Photobiology. 96(5). 1088–1095. 1 indexed citations
10.
Jiang, Mengmeng, Yinglong Guo, Yixian Guo, et al.. (2019). Assessing PD-L1 Expression Level by Radiomic Features From PET/CT in Nonsmall Cell Lung Cancer Patients: An Initial Result. Academic Radiology. 27(2). 171–179. 98 indexed citations
12.
Yan, Hongmei, Mingfeng Xia, Xinxia Chang, et al.. (2015). Efficacy of Berberine in Patients with Non-Alcoholic Fatty Liver Disease. PLoS ONE. 10(8). e0134172–e0134172. 180 indexed citations
13.
Wu, Li, Xiuzhong Yao, Kai Liu, et al.. (2014). Application of 3.0 Tesla Magnetic Resonance Imaging for Diagnosis in the Orthotopic Nude Mouse Model of Pancreatic Cancer. EXPERIMENTAL ANIMALS. 63(4). 403–413. 5 indexed citations
14.
Wu, Wenchuan, Xiuzhong Yao, Chao Lin, et al.. (2014). Should Steroid Therapy Be Necessarily Needed for Autoimmune Pancreatitis Patients with Lesion Resected due to Misdiagnosed or Suspected Malignancy?. Gastroenterology Research and Practice. 2014. 1–6. 1 indexed citations
15.
Song, Qiong, Meng-Su Zeng, Caizhong Chen, et al.. (2012). Non–Contrast-Enhanced Magnetic Resonance Angiography Using T2-Weighted 3-Dimensional Fat-Suppressed Turbo Spin Echo (SPACE). Journal of Computer Assisted Tomography. 36(6). 675–680. 5 indexed citations
16.
Yan, Hongmei, Mingfeng Xia, Xinxia Chang, et al.. (2011). Circulating Fibroblast Growth Factor 21 Levels Are Closely Associated with Hepatic Fat Content: A Cross-Sectional Study. PLoS ONE. 6(9). e24895–e24895. 84 indexed citations
17.
Xia, Mingfeng, Hongmei Yan, Huandong Lin, et al.. (2011). Elevation of liver enzymes within the normal limits and metabolic syndrome. Clinical and Experimental Pharmacology and Physiology. 38(6). 373–379. 31 indexed citations
18.
Xia, Mingfeng, Hongmei Yan, Wanyuan He, et al.. (2011). Standardized Ultrasound Hepatic/Renal Ratio and Hepatic Attenuation Rate to Quantify Liver Fat Content: An Improvement Method. Obesity. 20(2). 444–452. 112 indexed citations
19.
Bian, Hua, Hongmei Yan, Mingfeng Xia, et al.. (2010). [Relationship between liver fat content and liver enzymes in individuals with various statuses of glucose metabolism].. PubMed. 90(48). 3385–90. 1 indexed citations
20.
Yao, Xiuzhong, Yuan Ji, Mengsu Zeng, Shengxiang Rao, & Bo Yang. (2010). Solid Pseudopapillary Tumor of the Pancreas. Pancreas. 39(4). 486–491. 40 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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