Bei Wang

1.8k citations
69 papers · 1.3k · h-index 18

Impact in

Papers in

    • Congenital Heart Disease Studies 17
    • Autophagy in Disease and Therapy 8
    • Liver Disease Diagnosis and Treatment 4
    • Cardiovascular Function and Risk Factors 10
    • Cardiac Arrhythmias and Treatments 8
    • Cardiac pacing and defibrillation studies 6
    • Cardiac Valve Diseases and Treatments 5
    • Atrial Fibrillation Management and Outcomes 4

Bei Wang

64 papers receiving 1.3k citations

Peers

Bei Wang
Comparison fields: 5 of 131
  • Epidemiology 496
  • Cardiology and Cardiovascular Medicine 244
  • Geriatrics and Gerontology 37
  • Information Systems 195
  • Physiology 37
Replace David Jackson with:
David Jackson United Kingdom
Joonsoo Park South Korea
Antonio Taddei Italy
Jorng‐Tzong Horng Taiwan
Rui Fang China
Sourish Ghosh India
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Citations per field
00.5×6.1×
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Citations per year

Countries citing papers authored by Bei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017257
2 2011128
3 2014122
4 2006111
5 201265
6 201045
7 201939
8 201832
9 201830
10 202229
11 200828
12 201926
13 201426
14 201525
15 202125
16 201120
17 201619
18 201818
19 201616
20 202116

About Bei Wang

Bei Wang is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery and Pulmonary and Respiratory Medicine, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (17 papers), Cardiovascular Function and Risk Factors (10 papers), Autophagy in Disease and Therapy (8 papers), Cardiac Arrhythmias and Treatments (8 papers), Cardiac pacing and defibrillation studies (6 papers), Cardiac Valve Diseases and Treatments (5 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Epidemiology (496 citations), Cardiology and Cardiovascular Medicine (244 citations), Geriatrics and Gerontology (37 citations), Information Systems (195 citations) and Physiology (37 citations). Bei Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Kejiang Ye, Dawei Huang, Lingli Dong, Chen Chen, Yangyang Hu, Jiali Nie, Wen Zheng, Dao Wen Wang, Lujin Wu and Minghui Zou. Their work appears in journals such as The Journal of Maternal-Fetal & Neonatal Medicine, International journal of cardiac imaging, Pacing and Clinical Electrophysiology, International Journal of Pharmaceutics and Lipids in Health and Disease.

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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