Xun Tang

22.7k citations
172 papers · 3.9k indexed · 2 hit papers · h-index 26

Xun Tang

164 papers receiving 3.8k citations

Hit Papers

Chronic obstructive pulmonary disease in China: a nationw...30620172026202020234008001.2k

Peers

Xun Tang
Comparison fields: 5 of 179
  • Endocrinology, Diabetes and Metabolism 911
  • Health, Toxicology and Mutagenesis 338
  • Cardiology and Cardiovascular Medicine 517
  • Nephrology 136
  • Epidemiology 598
Replace Tao Huang with:
Tao Huang China
Hyun‐Young Park South Korea
Dimitrios G. Goulis Greece
Marc J. Gunter France
Brian A. Ference United States
Li Gong United States
Nadeem Sarwar Pakistan
James M. Brophy Canada
Michael Chan Hong Kong
Thomas J. Cook United States
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Citations per field
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Citations per year

Countries citing papers authored by Xun Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Xun Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xun Tang Line = papers co-authored together Xun Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20243
4 20248
5 20244
6 20238
7 20236
8 20231
9 20228
10 20195
11 20183
12
[Effectiveness of different screening strategies for primary prevention of cardiovascular diseases in a rural northern Chinese population].
20181
13 20181
14
[Relationship between glycemic control and visceral adiposity index among the patients with type 2 diabetes mellitus].
20178
15 20175
16
[Relationship of menopause with cardiovascular disease and related metabolic disorders].
20161
17 20164
18
[Relationship between brachial-ankle pulse wave velocity and glycemic control of type 2 diabetes mellitus patients in Beijing community population].
20152
19 20151
20
Monitoring of In-situ Leaching Stope of Ion-absorbed Rare Earth Mine
20011

About Xun Tang

Xun Tang is a scholar working on Cardiology and Cardiovascular Medicine, Marketing and Endocrinology, Diabetes and Metabolism, having authored 172 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cardiovascular Health and Risk Factors (18 papers), Consumer Market Behavior and Pricing (13 papers), Auction Theory and Applications (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Health Promotion and Cardiovascular Prevention (8 papers), Genetic Associations and Epidemiology (7 papers), Blood Pressure and Hypertension Studies (6 papers) and Nutrition, Genetics, and Disease (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (911 citations), Health, Toxicology and Mutagenesis (338 citations) and Cardiology and Cardiovascular Medicine (517 citations). Xun Tang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yonghua Hu, Pei Gao, Dudan Zhang, Xueying Qin, Danyao Jin, Zhenping Zhao, Maigeng Zhou, Qian Deng, Limin Wang and Mei Zhang.

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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