Xiao-Wei Yan

622 citations
9 papers · 427 · h-index 7

Impact in

Papers in

Xiao-Wei Yan

9 papers receiving 415 citations

Peers

Xiao-Wei Yan
Comparison fields: 5 of 66
  • Cardiology and Cardiovascular Medicine 167
  • Complementary and alternative medicine 45
  • Physiology 134
  • Pulmonary and Respiratory Medicine 91
  • Orthopedics and Sports Medicine 18
Replace Sharad Agarwal with:
Sharad Agarwal United Kingdom
Satnam Singh United Kingdom
Shahid H. Sial United States
Daniele Mendes Guizoni Brazil
Luis C. Ramirez United States
Guangyao Wang China
Shohei Ouchi Japan
Yasuaki Fujisawa Japan
Konstantinos Tentolouris Greece
Xiao-Wei Yan relative to Sharad Agarwal United Kingdom Sharad Agarwal's profile →
Citations per field
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Sharad Agarwal · 1×
Citations per year

Countries citing papers authored by Xiao-Wei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Wei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao-Wei Yan. 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 Xiao-Wei Yan. The network helps show where Xiao-Wei Yan may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiao-Wei Yan, 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 Xiao-Wei Yan Line = papers co-authored together Xiao-Wei Yan links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1998243
2 200855
3 201237
4 201026
5 200923
6 201120
7 201816
8 20184
9 20193

About Xiao-Wei Yan

Xiao-Wei Yan is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Epidemiology, Infectious Diseases and Pharmacology, having authored 9 papers that have together received 427 indexed citations. Recurring topics across this work include Sodium Intake and Health (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Cardiovascular Health and Disease Prevention (1 paper), Blood Pressure and Hypertension Studies (1 paper), Radiation Dose and Imaging (1 paper), Respiratory viral infections research (1 paper), Bone health and osteoporosis research (1 paper) and Lipoproteins and Cardiovascular Health (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (167 citations), Complementary and alternative medicine (45 citations), Physiology (134 citations), Pulmonary and Respiratory Medicine (91 citations) and Orthopedics and Sports Medicine (18 citations). Xiao-Wei Yan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Osmund Bertel, Jong Hun Kim, Stefan Christen, Peter Rickenbacher, Wolfgang Kiowski, Patrick Hunziker, Werner Strobel, Gabor Sütsch, Xiaodong Wen and Ping Li. Their work appears in journals such as Circulation, Bone, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Antimicrobial Agents and Chemotherapy and The American Journal of the Medical Sciences.

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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