Robert Tung

1.1k citations
28 papers · 957 · h-index 13

Impact in

Papers in

Robert Tung

26 papers receiving 905 citations

Peers

Robert Tung
Comparison fields: 5 of 80
  • Cardiology and Cardiovascular Medicine 407
  • Physiology 77
  • Pathology and Forensic Medicine 268
  • Cellular and Molecular Neuroscience 186
  • Emergency Medicine 81
Replace R. Dale Brown with:
R. Dale Brown United States
David T. Kurjiaka United States
Lorenz Bott‐Flügel Germany
Ryan C. McCormick United States
Hiroyuki Yamakawa Japan
Brett Collins United States
T. E. Bertoríni United States
Naomi Hino‐Fukuyo Japan
Amgad S. Hanna United States
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Citations per field
00.5×10×16.2×
R. Dale Brown · 1×
Citations per year

Countries citing papers authored by Robert Tung

Since Specialization
Citations

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

Fields of papers citing papers by Robert Tung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992173
2 1976132
3 1991114
4 199479
5 199278
6 200571
7 199158
8 199456
9 202154
10 199547
11 199424
12 199423
13 199212
14 20209
15 20204
16 20184
17 20243
18
Incidental Findings of Pulmonary and Hilar Malignancy by Low-Resolution Computed Tomography Used in Myocardial Perfusion Imaging.
20203
19 20213
20 19932

About Robert Tung

Robert Tung is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 957 indexed citations. Recurring topics across this work include Ion channel regulation and function (8 papers), Cardiac electrophysiology and arrhythmias (7 papers), Cardiac pacing and defibrillation studies (5 papers), Cardiac Ischemia and Reperfusion (5 papers), Cardiac Arrhythmias and Treatments (4 papers), Scoliosis diagnosis and treatment (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (407 citations), Physiology (77 citations), Pathology and Forensic Medicine (268 citations), Cellular and Molecular Neuroscience (186 citations) and Emergency Medicine (81 citations). Robert Tung has collaborated with scholars based in United States and Japan. Frequent co-authors include Y Kurachi, Hiroyuki Ito, Toshiaki Katada, André Terzic, Rochelle Hirschhorn, M Ui, Maryrose J. Conklyn, T Sugimoto, Ichiro Kobayashi and R Silber. Their work appears in journals such as The American Journal of Cardiology, Spine Deformity, Circulation Research, Journal of Biomedical Materials Research Part B Applied Biomaterials and Pacing and Clinical Electrophysiology.

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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