Ying Wu

102 papers receiving 1.1k citations

Peers

Ying Wu
Comparison fields: 5 of 126
  • Critical Care and Intensive Care Medicine 214
  • Health Informatics 12
  • Research and Theory 7
  • Developmental Neuroscience 28
  • Cardiology and Cardiovascular Medicine 147
Replace Masahiro Banno with:
Masahiro Banno Japan
Jeanette R. Bauchat United States
David A. Zvara United States
Yin Ting Cheung Hong Kong
Jordi Cortés Spain
Bei Li China
Yan Liang China
Joseph A. Tyndall United States
Michael J. Emery United States
Kirsten Wentlandt Canada
Ying Wu relative to Masahiro Banno Japan Masahiro Banno's profile →
Citations per field
00.5×7.8×
Masahiro Banno · 1×
Citations per year

Countries citing papers authored by Ying Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201266
2 201261
3 200848
4 202045
5 202339
6 202034
7 202134
8 201931
9 201030
10
Forty-year survival with the Starr-Edwards heart valve prosthesis.
200427
11 201326
12 201525
13 201724
14 201224
15
Molecular mechanisms of diabetic coronary dysfunction due to large conductance Ca2⁺-activated K⁺ channel impairment.
201222
16 201422
17 202421
18 202321
19 201218
20 201117

About Ying Wu

Ying Wu is a scholar working on Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Molecular Biology and Insect Science, having authored 112 papers that have together received 1.1k indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (17 papers), Mobile Health and mHealth Applications (5 papers), Pain Mechanisms and Treatments (5 papers), Insect and Pesticide Research (5 papers), Atrial Fibrillation Management and Outcomes (5 papers), Family and Patient Care in Intensive Care Units (4 papers), Plant and animal studies (3 papers) and Cardiac Arrhythmias and Treatments (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (214 citations), Health Informatics (12 citations), Research and Theory (7 citations), Developmental Neuroscience (28 citations) and Cardiology and Cardiovascular Medicine (147 citations). Ying Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Peng Yue, Barbara S. Slusher, Camilo Rojas, Yuling Chen, Qian Xiao, Gary L. Grunkemeier, Ying Deng, Kinga Woźniak, Meihua Ji and Shan Zhang. Their work appears in journals such as Journal of Medical Internet Research, International Journal of Nursing Studies, International Journal of Nursing Practice, International Journal of Nursing Sciences and Frontiers in Microbiology.

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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