Xinghua Yang

1.9k total citations
95 papers, 1.3k citations indexed

About

Xinghua Yang is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Xinghua Yang has authored 95 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 18 papers in Endocrinology, Diabetes and Metabolism and 15 papers in Surgery. Recurrent topics in Xinghua Yang's work include Liver Disease Diagnosis and Treatment (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers) and Alcohol Consumption and Health Effects (12 papers). Xinghua Yang is often cited by papers focused on Liver Disease Diagnosis and Treatment (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers) and Alcohol Consumption and Health Effects (12 papers). Xinghua Yang collaborates with scholars based in China, Australia and United States. Xinghua Yang's co-authors include Xiuhua Guo, Wei Wang, Lixin Tao, Deqiang Zheng, Yanxia Luo, Haibin Li, Yuxiang Yan, Zhimin Ma, Xiangtong Liu and Jiajia Jiang and has published in prestigious journals such as PLoS ONE, Environmental Pollution and IEEE Access.

In The Last Decade

Xinghua Yang

90 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinghua Yang China 20 289 238 229 172 159 95 1.3k
Shanshan Yang China 18 231 0.8× 193 0.8× 300 1.3× 154 0.9× 137 0.9× 105 1.3k
Linus Schiöler Sweden 22 160 0.6× 398 1.7× 285 1.2× 190 1.1× 230 1.4× 97 1.6k
Maité Vallejo Mexico 23 217 0.8× 339 1.4× 192 0.8× 186 1.1× 107 0.7× 82 1.5k
Mahmoud Reza Azarpazhooh Iran 25 335 1.2× 310 1.3× 224 1.0× 182 1.1× 179 1.1× 98 2.3k
Sung Min Kim South Korea 22 288 1.0× 304 1.3× 208 0.9× 137 0.8× 212 1.3× 66 1.6k
Yaw‐Wen Chang Taiwan 20 256 0.9× 148 0.6× 560 2.4× 140 0.8× 112 0.7× 78 1.4k
Jae Moon Yun South Korea 25 398 1.4× 260 1.1× 352 1.5× 188 1.1× 221 1.4× 97 1.9k
Xunjie Cheng China 15 221 0.8× 163 0.7× 131 0.6× 229 1.3× 46 0.3× 57 1.0k
Anton JM de Craen Netherlands 21 354 1.2× 324 1.4× 441 1.9× 300 1.7× 336 2.1× 36 1.8k

Countries citing papers authored by Xinghua Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xinghua Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinghua Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinghua Yang. A scholar is included among the top collaborators of Xinghua Yang 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 Xinghua Yang. Xinghua Yang 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.
Tang, Jianmin, et al.. (2025). Directional Temporal Relationship Between Hypertension and Non‐Alcoholic Fatty Liver Disease: A Cross‐Lagged Cohort Study. Journal of Clinical Hypertension. 27(2). e70012–e70012. 1 indexed citations
2.
Jian-hua, MA, Pingan Li, Yue Jiang, et al.. (2024). The Association between Dietary Nutrient Intake and Acceleration of Aging: Evidence from NHANES. Nutrients. 16(11). 1635–1635. 11 indexed citations
3.
Tong, Chao, et al.. (2024). Establishment of a machine learning predictive model for non-alcoholic fatty liver disease: A longitudinal cohort study. Nutrition Metabolism and Cardiovascular Diseases. 34(6). 1456–1466. 3 indexed citations
4.
Jin, Yu, et al.. (2023). A Survey of Approximate Computing: From Arithmetic Units Design to High-Level Applications. Journal of Computer Science and Technology. 38(2). 251–272. 7 indexed citations
5.
Liu, Jia, Yue Liu, Xia Li, et al.. (2023). Distinct hyperuricemia trajectories are associated with different risks of incident diabetes: A prospective cohort study. Nutrition Metabolism and Cardiovascular Diseases. 33(5). 967–977. 7 indexed citations
6.
Tong, Chao, et al.. (2023). Bidirectional relationship between nonalcoholic fatty liver disease and serum creatinine‐to‐body weight ratio as a proxy for skeletal muscle mass index. Journal of Gastroenterology and Hepatology. 38(12). 2061–2069. 2 indexed citations
7.
Qi, Min, et al.. (2023). Earlobe reconstruction with an inferior pedicle flap. Journal of Plastic Reconstructive & Aesthetic Surgery. 80. 91–93. 3 indexed citations
8.
Yu, Xing, Peihua Wang, & Xinghua Yang. (2020). A survey of comorbidity and health behaviors of diabetic patients in an area of Beijing. 22(3). 379–384. 1 indexed citations
9.
Jiang, Jiajia, Xueli Cai, Yuesong Pan, et al.. (2020). Relationship of obesity to adipose tissue insulin resistance. BMJ Open Diabetes Research & Care. 8(1). e000741–e000741. 44 indexed citations
10.
Li, Dongxue, Lili Xia, Xinghua Yang, et al.. (2018). Relative Handgrip Strength Is Inversely Associated with Metabolic Profile and Metabolic Disease in the General Population in China. Frontiers in Physiology. 9. 59–59. 69 indexed citations
11.
Liu, Changbin, Degang Yang, Jianjun Li, et al.. (2018). Dynamic diffusion tensor imaging of spinal cord contusion: A canine model. Journal of Neuroscience Research. 96(6). 1093–1103. 17 indexed citations
12.
Wang, Yunfeng, et al.. (2018). Prediction of transfer among multiple states of blood pressure based on Markov model. Journal of Hypertension. 36(7). 1506–1513. 10 indexed citations
13.
Feng, Wei, Haibin Li, Lixin Tao, et al.. (2017). Relationship between metabolic syndrome and hyperuricemia in physical examination population in a hospital of Beijing. 22(6). 438–441. 1 indexed citations
14.
Zhao, Hou-Yu, Feng Sun, Xinghua Yang, et al.. (2017). [Risk and related factors on metabolic syndrome among people who had received screening on physical check-up programs, in China].. PubMed. 38(12). 1591–1597. 1 indexed citations
15.
Ping, Zhi, Kun Yang, Xinke Liu, et al.. (2017). Trends of Activities of Daily Living Disability Situation and Association with Chronic Conditions among Elderly Aged 80 Years and Over in China. The journal of nutrition health & aging. 22(3). 439–445. 34 indexed citations
16.
Liu, Xiangtong, Lixin Tao, Kai Cao, et al.. (2015). Association of high-density lipoprotein with development of metabolic syndrome components: a five-year follow-up in adults. BMC Public Health. 15(1). 412–412. 20 indexed citations
17.
Yang, Xinghua. (2013). Clinical effect of Poria cocos plus Little Pinellia ternata decoction in treating chemotherapy induced delayed nausea and vomiting. Tianjin Journal of Traditional Chinese Medicine.
18.
Yang, Xinghua, et al.. (2013). [Setting up a risk prediction model on metabolic syndrome among 35-74 year-olds based on the Taiwan MJ Health-checkup Database].. PubMed. 34(9). 874–8. 9 indexed citations
19.
Zhang, Pihong, et al.. (2010). [Anatomic basis of the accompanying pattern of the superficial temporal arterial branches and veins and its clinical application].. PubMed. 26(4). 268–71. 1 indexed citations
20.
Yang, Xinghua. (2007). Recovery of Lignin from Reed Black Liquor of Paper-making by Acidulation Method. 2 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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