Ray Kozak

7 papers receiving 1.9k citations

Ray Kozak's Hit Papers

The cardiac phenotype induced by PPARα overexpression mimics that caused by diabetes mellitus 2002 · 784 citations
7840+8+16Years since publication250500750

Peers

Ray Kozak
Comparison fields: 5 of 63
  • Cardiology and Cardiovascular Medicine 981
  • Physiology 703
  • Biochemistry 191
  • Molecular Biology 1.1k
  • Geriatrics and Gerontology 43
Replace Jonathan Buchanan with:
Jonathan Buchanan United States
Gary D. Lopaschuk Canada
Heather Theobald United States
Qutuba G. Karwi Canada
Quy N. Diep Canada
Richard B. Wambolt Canada
Chaomei Shi United States
P. H. M. Willemsen Netherlands
Kazuhisa Takeuchi Japan
Natasha Fillmore United States
Ray Kozak relative to Jonathan Buchanan United States Jonathan Buchanan's profile →
Citations per field
00.5×1.6×
Jonathan Buchanan · 1×
Citations per year

Countries citing papers authored by Ray Kozak

Since Specialization
Citations

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

Fields of papers citing papers by Ray Kozak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
The cardiac phenotype induced by PPARα overexpression mimics that caused by diabetes mellitus
Hit paper breakdown →
2002784
2
The cardiac phenotype induced by PPARα overexpression mimics that caused by diabetes mellitus
Hit paper breakdown →
2002698
3 2002225
4 200397
5 200247
6 200340
7 199611
8 19960

About Ray Kozak

Ray Kozak is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Biochemistry, having authored 8 papers that have together received 1.9k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (5 papers), Cardiovascular Function and Risk Factors (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Adipose Tissue and Metabolism (4 papers), Nitric Oxide and Endothelin Effects (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (981 citations), Physiology (703 citations), Biochemistry (191 citations), Molecular Biology (1.1k citations) and Geriatrics and Gerontology (43 citations). Ray Kozak has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include Gary D. Lopaschuk, Daniel P. Kelly, Richard W. Gross, Brian N. Finck, John J. Lehman, Teresa C. Leone, Xianlin Han, Michael J. Welch, Attila Kovács and Michael J. Bennett. Their work appears in journals such as Journal of Clinical Investigation, Canadian Journal of Physiology and Pharmacology, American Journal of Physiology-Endocrinology and Metabolism, Journal of Biological Chemistry and American Journal of Physiology-Heart and Circulatory Physiology.

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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