Xiaoyan Yin

9.0k citations
80 papers · 4.8k indexed · 1 hit paper · h-index 37

Xiaoyan Yin

78 papers receiving 4.8k citations

Hit Papers

50 year trends in atrial fibrillation prevalence, inciden...1.1k20152026201820222505007501000

Peers

Xiaoyan Yin
Comparison fields: 5 of 140
  • Cardiology and Cardiovascular Medicine 2.8k
  • Internal Medicine 191
  • Biochemistry 228
  • Endocrinology, Diabetes and Metabolism 324
  • Geophysics 253
Replace T Sugimoto with:
T Sugimoto Japan
Guo‐Wei He China
Katrin Schäfer Germany
Yasuhiko Sakata Japan
Maria Grazia Andreassi Italy
Akira Fujiyoshi Japan
Shiro Kamakura Japan
Hui Quan United States
Christoph Kopp Austria
Sunao Kojima Japan
Xiaoyan Yin relative to T Sugimoto Japan T Sugimoto's profile →
Citations per field
00.5×10×12.7×
T Sugimoto · 1×
Citations per year

Countries citing papers authored by Xiaoyan Yin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 202110
4 202125
5 202129
6 202021
7 201832
8 201745
9 201623
10 201672
11 20166
12 201630
13
50 year trends in atrial fibrillation prevalence, incidence, risk factors, and mortality in the Framingham Heart Study: a cohort studybreakdown →
20151145
14 201529
15 201419
16 201154
17 201124
18 2010183
19 200915
20 200895

About Xiaoyan Yin

Xiaoyan Yin is a scholar working on Cardiology and Cardiovascular Medicine, Aging and Pharmacology, having authored 80 papers that have together received 4.8k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (21 papers), Cardiac Arrhythmias and Treatments (10 papers), Cardiac Imaging and Diagnostics (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Cardiovascular Function and Risk Factors (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.8k citations), Internal Medicine (191 citations) and Biochemistry (228 citations). Xiaoyan Yin has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Emelia J. Benjamin, Martin G. Larson, Ramachandran S. Vasan, Daniel Levy, Patrick T. Ellinor, David D. McManus, Jared W. Magnani, Steven A. Lubitz, Renate B. Schnabel and Sudha Seshadri. Their work appears in journals such as The Lancet, JAMA and Circulation.

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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