Michael W. Dae

5.4k citations
113 papers · 4.0k · h-index 33

Impact in

Papers in

Michael W. Dae

109 papers receiving 3.9k citations

Peers

Michael W. Dae
Comparison fields: 5 of 112
  • Cardiology and Cardiovascular Medicine 1.8k
  • Critical Care and Intensive Care Medicine 375
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Emergency Medicine 417
  • Neurology 232
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Countries citing papers authored by Michael W. Dae

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Dae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael W. Dae. 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 Michael W. Dae. The network helps show where Michael W. Dae may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999279
2 1991238
3 2002224
4 1994217
5 2002187
6 2000171
7 2005167
8
Scintigraphic assessment of MIBG uptake in globally denervated human and canine hearts--implications for clinical studies.
1992165
9 1989155
10 2006139
11 2001136
12 2000113
13 1995109
14 1991100
15
A quantitative assessment of patient motion and its effect on myocardial perfusion SPECT images.
199378
16
Absolute quantification of regional myocardial uptake of 99mTc-sestamibi with SPECT: experimental validation in a porcine model.
200170
17 199065
18 198360
19 199759
20 200053

About Michael W. Dae

Michael W. Dae is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery and Epidemiology, having authored 113 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (43 papers), Advanced MRI Techniques and Applications (20 papers), Cardiac electrophysiology and arrhythmias (18 papers), Medical Imaging Techniques and Applications (17 papers), Cardiac Arrhythmias and Treatments (12 papers), Advanced X-ray and CT Imaging (9 papers), Cardiovascular Function and Risk Factors (7 papers) and Thermal Regulation in Medicine (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.8k citations), Critical Care and Intensive Care Medicine (375 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations), Emergency Medicine (417 citations) and Neurology (232 citations). Michael W. Dae has collaborated with scholars based in United States, Japan and Brazil. Frequent co-authors include Elias H. Botvinick, J. William O’Connell, Carol Stillson, Daniel I. Sessler, Håkan Arheden, Jens Bremerich, Rolf Wyttenbach, Dong Gao, Kanu Chatterjee and Jerry C. Griffin. Their work appears in journals such as Journal of the American College of Cardiology, American Heart Journal, Journal of Nuclear Cardiology, IEEE Transactions on Nuclear Science and Circulation.

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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