Qun Wang

53 papers receiving 627 citations

Peers

Qun Wang
Comparison fields: 5 of 122
  • General Health Professions 180
  • Cardiology and Cardiovascular Medicine 124
  • Finance 54
  • Experimental and Cognitive Psychology 64
  • Endocrinology, Diabetes and Metabolism 72
Replace Turky H. Almigbal with:
Turky H. Almigbal Saudi Arabia
Manuel Ridao-López Spain
Tzahit Simon‐Tuval Israel
María João Forjaz Spain
Stephanie Heinemann Germany
Kathryn Nicholson Canada
Hanif Abdul Rahman Brunei
Sateesh Sakhamuri Trinidad and Tobago
Tsuyoshi Hamano Japan
Jennifer Voth Canada
Qun Wang relative to Turky H. Almigbal Saudi Arabia Turky H. Almigbal's profile →
Citations per field
00.5×
Turky H. Almigbal · 1×
Citations per year

Countries citing papers authored by Qun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201548
2 200948
3 202148
4 202045
5 201645
6 201638
7 202037
8 201435
9 201732
10 201523
11 202321
12 202121
13 201619
14 201616
15 202116
16 201916
17 202311
18 202211
19 202110
20 20148

About Qun Wang

Qun Wang is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, General Health Professions, Surgery and Physiology, having authored 70 papers that have together received 653 indexed citations. Recurring topics across this work include Diabetes Management and Education (8 papers), Cardiac Health and Mental Health (7 papers), Mobile Health and mHealth Applications (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Cardiovascular and exercise physiology (4 papers), Sleep and related disorders (3 papers), Heart Rate Variability and Autonomic Control (3 papers) and COVID-19 and Mental Health (3 papers). The work is most often cited by research in General Health Professions (180 citations), Cardiology and Cardiovascular Medicine (124 citations), Finance (54 citations), Experimental and Cognitive Psychology (64 citations) and Endocrinology, Diabetes and Metabolism (72 citations). Qun Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Sek Ying Chair, Eliza Mi Ling Wong, Ho Yu Cheng, Olivier Kalmus, Stephan Brenner, Manuela De Allegri, Mingxiang Feng, Lijie Tan, Hao Wang and Xujuan Zheng. Their work appears in journals such as Journal of Advanced Nursing, International Journal of Environmental Research and Public Health, Nursing Open, Neurosurgical FOCUS and Frontiers in Public Health.

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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