Chun-Min Fu

790 citations
30 papers · 490 · h-index 12

Impact in

Papers in

    • Congenital Heart Disease Studies 4
    • Kawasaki Disease and Coronary Complications 3
    • Cardiac Structural Anomalies and Repair 2

Chun-Min Fu

29 papers receiving 474 citations

Peers

Chun-Min Fu
Comparison fields: 5 of 100
  • Anesthesiology and Pain Medicine 69
  • Critical Care and Intensive Care Medicine 62
  • Emergency Medicine 107
  • Applied Microbiology and Biotechnology 17
  • Molecular Medicine 24
Replace Joan Lynch with:
Joan Lynch Australia
Cédric Bretonnière France
Alison Pittard United Kingdom
Maria Donnelly Ireland
Ahmet Dilek Türkiye
Daniel W. Ochsenschlager United States
Samuel Lehingue France
Evert‐Jan Wils Netherlands
Cheng Cheng Tan Malaysia
Philipp K. Buehler Switzerland
Chun-Min Fu relative to Joan Lynch Australia Joan Lynch's profile →
Citations per field
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Joan Lynch · 1×
Citations per year

Countries citing papers authored by Chun-Min Fu

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Min Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Min Fu. 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 Chun-Min Fu. The network helps show where Chun-Min Fu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201689
2 201384
3 202037
4 201336
5 201734
6 201819
7 202118
8 201817
9 200917
10 201717
11 201216
12 201514
13 201311
14 199310
15 20119
16 20188
17 20188
18 20127
19 20227
20 20186

About Chun-Min Fu

Chun-Min Fu is a scholar working on Epidemiology, Surgery, Emergency Medicine, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 30 papers that have together received 490 indexed citations. Recurring topics across this work include Cardiac Arrest and Resuscitation (5 papers), Trauma and Emergency Care Studies (4 papers), Congenital Heart Disease Studies (4 papers), Cardiac Arrhythmias and Treatments (3 papers), Kawasaki Disease and Coronary Complications (3 papers), Mechanical Circulatory Support Devices (3 papers), Healthcare professionals’ stress and burnout (2 papers) and Cardiac Structural Anomalies and Repair (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (69 citations), Critical Care and Intensive Care Medicine (62 citations), Emergency Medicine (107 citations), Applied Microbiology and Biotechnology (17 citations) and Molecular Medicine (24 citations). Chun-Min Fu has collaborated with scholars based in Taiwan, United States and Malaysia. Frequent co-authors include Matthew Huei‐Ming, Cheng‐Chung Fang, Tsung‐Chien Lu, Anne M. Turner, Mei‐Hwan Wu, Ming‐Tai Lin, Chih‐Hung Wang, Shyr‐Chyr Chen, Wan‐Ching Lien and Kah-Meng Chong. Their work appears in journals such as Resuscitation, The Pediatric Infectious Disease Journal, Clinical Infectious Diseases, Clinical Microbiology and Infection and BMJ Open.

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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