Zhongxiao Wan

2.6k total citations
114 papers, 2.0k citations indexed

About

Zhongxiao Wan is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Zhongxiao Wan has authored 114 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Physiology, 27 papers in Molecular Biology and 24 papers in Epidemiology. Recurrent topics in Zhongxiao Wan's work include Adipose Tissue and Metabolism (24 papers), Adipokines, Inflammation, and Metabolic Diseases (17 papers) and Diet and metabolism studies (10 papers). Zhongxiao Wan is often cited by papers focused on Adipose Tissue and Metabolism (24 papers), Adipokines, Inflammation, and Metabolic Diseases (17 papers) and Diet and metabolism studies (10 papers). Zhongxiao Wan collaborates with scholars based in China, Canada and United States. Zhongxiao Wan's co-authors include Li‐Qiang Qin, Shufen Han, David C. Wright, Jiaying Xu, Zengli Yu, Guiping Wang, Neng Chen, Guo‐Chong Chen, L Castellani and Bingyan Li and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Zhongxiao Wan

110 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongxiao Wan China 26 767 565 364 306 215 114 2.0k
Israel Pérez-Torres Mexico 29 679 0.9× 702 1.2× 317 0.9× 377 1.2× 151 0.7× 116 2.7k
Verónica Guarner‐Lans Mexico 27 668 0.9× 730 1.3× 365 1.0× 346 1.1× 147 0.7× 120 2.7k
Rosário Monteiro Portugal 26 702 0.9× 651 1.2× 525 1.4× 293 1.0× 191 0.9× 59 2.7k
Xu Lin China 24 704 0.9× 747 1.3× 395 1.1× 314 1.0× 375 1.7× 69 2.2k
Francisca Serra Spain 24 722 0.9× 539 1.0× 290 0.8× 425 1.4× 184 0.9× 60 1.6k
Zhaofeng Zhang China 31 404 0.5× 839 1.5× 222 0.6× 197 0.6× 327 1.5× 124 2.5k
Michał Wiciński Poland 27 477 0.6× 513 0.9× 207 0.6× 251 0.8× 125 0.6× 101 2.1k
Alireza Milajerdi Iran 31 562 0.7× 565 1.0× 265 0.7× 407 1.3× 607 2.8× 116 2.6k
Mohammed S. Ellulu Palestinian Territory 13 612 0.8× 397 0.7× 470 1.3× 335 1.1× 292 1.4× 25 2.2k
Dildar Konukoğlu Türkiye 25 505 0.7× 466 0.8× 275 0.8× 332 1.1× 113 0.5× 132 2.4k

Countries citing papers authored by Zhongxiao Wan

Since Specialization
Citations

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

Fields of papers citing papers by Zhongxiao Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongxiao Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongxiao Wan. A scholar is included among the top collaborators of Zhongxiao Wan 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 Zhongxiao Wan. Zhongxiao Wan 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.
Huang, Chun, Shiying Yang, Zhongxiao Wan, et al.. (2025). Machine Learning: A Multicenter Study on Predicting Lateral Lymph Node Metastasis in cN0 Papillary Thyroid Carcinoma. The Journal of Clinical Endocrinology & Metabolism. 110(10). 2762–2776. 1 indexed citations
2.
3.
Zhao, Junyu, Huanhuan Yang, Fei Xie, et al.. (2024). Microvascular burden and long-term risk of stroke and dementia in type 2 diabetes mellitus. Journal of Affective Disorders. 354. 68–74. 4 indexed citations
4.
Lu, S. L., Wenqi Huang, Guojun Du, et al.. (2024). Royal Jelly and 10-Hydroxy-2-Decenoic acid activate autophagy through mTOR/ULK1 pathway to improve cognitive function in diabetic mice. Journal of Functional Foods. 124. 106649–106649. 1 indexed citations
5.
Jia, Yiping, Jiamin Wang, Huanhuan Yang, et al.. (2024). Triglyceride-rich lipoproteins cholesterol, 10-years atherosclerotic cardiovascular disease risk, and risk of myocardial infarction and ischemic stroke. Journal of Lipid Research. 65(11). 100653–100653. 3 indexed citations
6.
Zhang, Liming, Jian Li, Guo‐Chong Chen, et al.. (2023). Combined Exposure to Multiple Metals and Kidney Function in a Midlife and Elderly Population in China: A Prospective Cohort Study. Toxics. 11(3). 274–274. 7 indexed citations
7.
Zhou, Xuan, Shuai Yuan, Lijuan Wang, et al.. (2023). Exploring the Complex Relationship between Gut Microbiota and Risk of Colorectal Neoplasia Using Bidirectional Mendelian Randomization Analysis. Cancer Epidemiology Biomarkers & Prevention. 32(6). 809–817. 6 indexed citations
8.
Yu, Zengli, Xiaoan Zhang, Junxi Zhang, et al.. (2022). Gestational exposure to ambient particulate matter and preterm birth: An updated systematic review and meta-analysis. Environmental Research. 212(Pt C). 113381–113381. 21 indexed citations
9.
Yu, Zengli, et al.. (2022). Long-term trends in the incidence of congenital anomalies in Central China from 1997 to 2019. Public Health. 203. 47–52. 9 indexed citations
10.
Feei, Zheng, et al.. (2020). Geographical distribution of hyperuricemia in mainland China: a comprehensive systematic review and meta-analysis. Global Health Research and Policy. 5(1). 52–52. 71 indexed citations
11.
12.
Chen, Lihua, et al.. (2018). Chia Seed Supplementation Reduces Senescence Markers in Epididymal Adipose Tissue of High-Fat Diet-Fed SAMP8 Mice. Journal of Medicinal Food. 21(8). 755–760. 8 indexed citations
13.
Chang, Jie, et al.. (2018). Chia Seed Does Not Improve Cognitive Impairment in SAMP8 Mice Fed with High Fat Diet. Nutrients. 10(8). 1084–1084. 11 indexed citations
14.
Chen, Guo‐Chong, Xing Tong, Jiaying Xu, et al.. (2016). Whole-grain intake and total, cardiovascular, and cancer mortality: a systematic review and meta-analysis of prospective studies. American Journal of Clinical Nutrition. 104(1). 164–172. 120 indexed citations
15.
Zhang, Jiawen, et al.. (2016). Effect of whey protein on blood lipid profiles: a meta-analysis of randomized controlled trials. European Journal of Clinical Nutrition. 70(8). 879–885. 34 indexed citations
16.
Chen, Guo‐Chong, Zengli Zhang, Zhongxiao Wan, et al.. (2015). Circulating 25-hydroxyvitamin D and risk of lung cancer: a dose–response meta-analysis. Cancer Causes & Control. 26(12). 1719–1728. 41 indexed citations
17.
Durrer, Cody, Zhongxiao Wan, Nic Martinez, et al.. (2015). Differential Impact of Acute High-Intensity Exercise on Circulating Endothelial Microparticles and Insulin Resistance between Overweight/Obese Males and Females. PLoS ONE. 10(2). e0115860–e0115860. 37 indexed citations
18.
Wan, Zhongxiao, et al.. (2014). Globular adiponectin induces a pro-inflammatory response in human astrocytic cells. Biochemical and Biophysical Research Communications. 446(1). 37–42. 42 indexed citations
19.
Wan, Zhongxiao, et al.. (2014). Role of amyloid β in the induction of lipolysis and secretion of adipokines from human adipose tissue. Adipocyte. 4(3). 212–216. 9 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Israel Pérez-Torres Breakdown of academic impact, for papers by Verónica Guarner‐Lans Breakdown of academic impact, for papers by Rosário Monteiro Breakdown of academic impact, for papers by Xu Lin Breakdown of academic impact, for papers by Francisca Serra Breakdown of academic impact, for papers by Zhaofeng Zhang Breakdown of academic impact, for papers by Michał Wiciński Breakdown of academic impact, for papers by Alireza Milajerdi Breakdown of academic impact, for papers by Mohammed S. Ellulu Breakdown of academic impact, for papers by Dildar Konukoğlu
Rankless by CCL
2026