Jason R.B. Dyck

27.6k citations
298 papers · 21.3k indexed · 5 hit papers · h-index 81

Jason R.B. Dyck

291 papers receiving 21.1k citations

Hit Papers

Mitochondrial Overload and Incomplete Fatty Acid Oxidatio...20082026201420202008201320142021202450010001.5k

Peers

Jason R.B. Dyck
Comparison fields: 5 of 159
  • Molecular Biology 10.4k
  • Physiology 6.3k
  • Cardiology and Cardiovascular Medicine 5.9k
  • Surgery 3.2k
  • Epidemiology 2.7k
Replace E. Dale Abel with:
E. Dale Abel United States
Gary D. Lopaschuk Canada
Olga Ilkayeva United States
Neil B. Ruderman United States
Gregory R. Steinberg Canada
Daisuke Koya Japan
Kristina Schoonjans Switzerland
Antonio Vidal‐Puig United Kingdom
Kitt Falk Petersen United States
Matthijs K. C. Hesselink Netherlands
Jason R.B. Dyck relative to E. Dale Abel United States E. Dale Abel's profile →
Citations per field
00.5×1.5×
E. Dale Abel · 1×
Citations per year

Countries citing papers authored by Jason R.B. Dyck

Since Specialization
Citations

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

Fields of papers citing papers by Jason R.B. Dyck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason R.B. Dyck. 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 Jason R.B. Dyck. The network helps show where Jason R.B. Dyck may publish in the future.

Co-authorship network of co-authors of Jason R.B. Dyck

This figure shows the co-authorship network connecting the top 25 collaborators of Jason R.B. Dyck. A scholar is included among the top collaborators of Jason R.B. Dyck based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason R.B. Dyck. Jason R.B. Dyck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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6 10
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8 36
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10 24
11 128
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13 49
14 10
15 125
16 115
17 319
18 197
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Mitochondrial Overload and Incomplete Fatty Acid Oxidation Contribute to Skeletal Muscle Insulin Resistancebreakdown →
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About Jason R.B. Dyck

Jason R.B. Dyck is a scholar working on Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Physiology, having authored 298 papers that have together received 21.3k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (68 papers), Adipose Tissue and Metabolism (58 papers) and Metabolism, Diabetes, and Cancer (52 papers). The work is most often cited by research in Geriatrics and Gerontology (1.4k citations), Cardiology and Cardiovascular Medicine (5.9k citations) and Physiology (6.3k citations). Jason R.B. Dyck has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Gary D. Lopaschuk, Vernon W. Dolinsky, Martin E. Young, John R. Ussher, Evangelos D. Michelakis, Miranda M. Sung, Peter E. Light, Carrie-Lynn M. Soltys, Beshay N. Zordoky and Deborah M. Muoio. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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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