Myra S. Cocker

1.2k citations
33 papers · 962 · h-index 15

Impact in

Papers in

Myra S. Cocker

33 papers receiving 919 citations

Peers

Myra S. Cocker
Comparison fields: 5 of 43
  • Radiology, Nuclear Medicine and Imaging 492
  • Cardiology and Cardiovascular Medicine 334
  • Health Informatics 13
  • Pulmonary and Respiratory Medicine 90
  • Physiology 46
Replace Sadaf Raza with:
Sadaf Raza United Kingdom
Olivier Ghekiere Belgium
Giancarlo Messalli Italy
Sebastiaan R.D. Piers Netherlands
Matthias F. Kriegel Germany
Chia Ying Liu United States
Christian F Luecke Germany
Kristopher W. Cummings United States
Michael Schmid Germany
Hamza El Aidi Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Myra S. Cocker

Since Specialization
Citations

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

Fields of papers citing papers by Myra S. Cocker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Myra S. Cocker. 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 Myra S. Cocker. The network helps show where Myra S. Cocker may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009184
2 200998
3 200797
4 201188
5 201371
6 200856
7 201246
8 201843
9 201639
10 201329
11 201226
12 201326
13 201324
14 202120
15 201017
16 201115
17 201411
18 201210
19 202310
20 20087

About Myra S. Cocker

Myra S. Cocker is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Rheumatology and Pathology and Forensic Medicine, having authored 33 papers that have together received 962 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (17 papers), Cardiovascular Effects of Exercise (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Viral Infections and Immunology Research (3 papers), Takotsubo Cardiomyopathy and Associated Phenomena (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Cardiac Ischemia and Reperfusion (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (492 citations), Cardiology and Cardiovascular Medicine (334 citations), Health Informatics (13 citations), Pulmonary and Respiratory Medicine (90 citations) and Physiology (46 citations). Myra S. Cocker has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Matthias G. Friedrich, Hassan Abdel‐Aty, Oliver Strohm, John V. Tyberg, Rob S. Beanlands, Robert A. deKemp, Jean N. DaSilva, Hiroshi Ohira, John David Spence and Brian Mc Ardle. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Journal of the American College of Cardiology, Journal of Nuclear Cardiology, Canadian Journal of Cardiology and European Heart Journal - Cardiovascular Imaging.

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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