Shu‐Fen Wung

1.3k citations
67 papers · 995 indexed · h-index 19
Topics
Cardiac electrophysiology and arrhythmias (16 papers)ECG Monitoring and Analysis (15 papers)Healthcare Technology and Patient Monitoring (11 papers)
Partner nations
United StatesTaiwanJapan

In The Last Decade

Shu‐Fen Wung

57 papers receiving 946 citations

Peers

Shu‐Fen Wung
Comparison fields: 5 of 113
  • Cardiology and Cardiovascular Medicine 425
  • Surgery 227
  • Radiology, Nuclear Medicine and Imaging 147
  • Genetics 145
  • Biomedical Engineering 114
Replace Amy Y. Tsou with:
Amy Y. Tsou United States
Jolanta Lewko Poland
Weihua Gao United States
Peggo K. W. Lam Hong Kong
Joshua J. Pankratz United States
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Esther Rubinat Spain
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Shu‐Fen Wung relative to Amy Y. Tsou United States Amy Y. Tsou's profile →
Citations per field
00.5×7.6×
Amy Y. Tsou · 1×
Citations per year

Countries citing papers authored by Shu‐Fen Wung

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐Fen Wung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Fen Wung. 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 Shu‐Fen Wung. The network helps show where Shu‐Fen Wung may publish in the future.

Co-authorship network of co-authors of Shu‐Fen Wung

This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Fen Wung. A scholar is included among the top collaborators of Shu‐Fen Wung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shu‐Fen Wung. Shu‐Fen Wung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 11
6 46
7 16
8 4
9 15
10 2
11 11
12 4
13 20
14 17
15 3
16 6
17 19
18
Genetic advances in coronary artery disease.
3
19 11
20 46

About Shu‐Fen Wung

Shu‐Fen Wung is a scholar working on Medical Laboratory Technology, Cardiology and Cardiovascular Medicine and General Dentistry, having authored 67 papers that have together received 995 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (16 papers), ECG Monitoring and Analysis (15 papers) and Healthcare Technology and Patient Monitoring (11 papers). The work is most often cited by research in Medical Laboratory Technology (43 citations), Cardiology and Cardiovascular Medicine (425 citations) and Issues, ethics and legal aspects (14 citations). Shu‐Fen Wung has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Barbara J. Drew, Mary G. Adams, Michele M. Pelter, Ann K. Cashion, Janet K. Williams, Cynthia A. Prows, Jean Jenkins, Suzanne Feetham, Pei‐Chao Lin and Neva L. Crogan. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

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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