Hung Cao-Danh

673 citations
26 papers · 549 indexed · h-index 16

Impact in

Papers in

Hung Cao-Danh

26 papers receiving 541 citations

Peers

Hung Cao-Danh
Comparison fields: 5 of 68
  • Cardiology and Cardiovascular Medicine 259
  • Pathology and Forensic Medicine 176
  • Emergency Medicine 59
  • Developmental Neuroscience 23
  • Molecular Biology 205
Replace Maki Katamura with:
Maki Katamura Japan
Tsuyoshi Urushida Japan
Vassiliki Malliopoulou Greece
Guoxing Li China
Ashraf A. Sabe United States
I M Dauber United States
B.F. Becker Germany
Reimer Ka United States
Shinji Yasuda Japan
Hung Cao-Danh relative to Maki Katamura Japan Maki Katamura's profile →
Citations per field
00.5×1.6×
Maki Katamura · 1×
Citations per year

Countries citing papers authored by Hung Cao-Danh

Since Specialization
Citations

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

Fields of papers citing papers by Hung Cao-Danh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung Cao-Danh. 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 Hung Cao-Danh. The network helps show where Hung Cao-Danh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200560
2 199950
3 200143
4 200233
5 199533
6
Glucose transporter upregulation improves ischemic tolerance in hypertrophied failing heart.
199831
7 199827
8 200727
9 199925
10 200125
11 199423
12 199921
13 200119
14 199516
15 200216
16 199416
17 199915
18 200514
19 200514
20
Adenosine prevents protein kinase C activation during hypothermic ischemia.
199714

About Hung Cao-Danh

Hung Cao-Danh is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Molecular Biology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 549 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (17 papers), Cardiovascular Function and Risk Factors (9 papers), Cardiac electrophysiology and arrhythmias (6 papers), Signaling Pathways in Disease (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Advanced MRI Techniques and Applications (3 papers), Nitric Oxide and Endothelin Effects (3 papers) and Cardiac Fibrosis and Remodeling (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (259 citations), Pathology and Forensic Medicine (176 citations), Emergency Medicine (59 citations), Developmental Neuroscience (23 citations) and Molecular Biology (205 citations). Hung Cao-Danh has collaborated with scholars based in United States and Canada. Frequent co-authors include Pedro J. del Nido, Francis X. McGowan, Ingeborg Friehs, Christof Stamm, Adrian M. Moran, Koh Takeuchi, Douglas B. Cowan, Paul Glynn, Renée Margossian and Marsha A. Moses. Their work appears in journals such as The Annals of Thoracic Surgery, Circulation, Journal of Thoracic and Cardiovascular Surgery, Surgery and Basic Research in Cardiology.

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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