Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Major Causes of Death among Men and Women in China
2005977 citationsJiang He, Dongfeng Gu et al.New England Journal of Medicineprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Chonghua 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 Chonghua Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chonghua Yao more than expected).
This network shows the impact of papers produced by Chonghua 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 Chonghua Yao. The network helps show where Chonghua Yao may publish in the future.
Co-authorship network of co-authors of Chonghua Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Chonghua Yao.
A scholar is included among the top collaborators of Chonghua 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 Chonghua Yao. Chonghua Yao is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zuo, Huijuan, Chonghua Yao, Yisong Hu, & Lingzhi Kong. (2011). [Relations between smoking, alcohol intake, physical activity, sleeping hours and the metabolic syndrome in Chinese male aged 18 - 45 years old].. PubMed. 32(3). 235–8.3 indexed citations
8.
Liu, Shuqian, Wenyu Wang, Xiaoguang Yang, et al.. (2011). Peer Reviewed: Prevalence of Diabetes and Impaired Fasting Glucose in Chinese Adults, China National Nutrition and Health Survey, 2002. Preventing Chronic Disease. 8(1).1 indexed citations
9.
Chen, Yanyan, Guangwei Li, Chonghua Yao, et al.. (2009). [Impact of metabolic syndrome with hyperglycemia on prevalence of stroke in Chinese].. PubMed. 89(6). 385–8.
Zhai, Fengying, et al.. (2006). [Relationship between metabolic syndrome and stroke in Chinese people].. PubMed. 35(6). 756–8.1 indexed citations
12.
Wu, Yangfeng, John Chalmers, Liming Li, et al.. (2006). Hypertension in China: Data from the 4th national hypertension survey in China. Journal of Hypertension. 24. 41–41.
13.
Hu, Yisong, Chonghua Yao, Wenzhi Wang, et al.. (2006). [Survey on the prevalence of hypertension in different ethnic groups in China in 2002].. PubMed. 35(5). 573–5.13 indexed citations
14.
Zuo, Huijuan, et al.. (2005). Circumcenters in Real Normed Spaces. Bollettino Della Unione Matematica Italiana. 8(2). 2328–31.3 indexed citations
15.
He, Jiang, Dongfeng Gu, Xigui Wu, et al.. (2005). Major Causes of Death among Men and Women in China. New England Journal of Medicine. 353(11). 1124–1134.977 indexed citations breakdown →
Liu, Jing, Dong Zhao, & Chonghua Yao. (2000). Trends in CVD risk factors in urban and rural areas of Beijing during 1984—1993. 28(4). 308–311.4 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.