Nikole J. Byrne

1.7k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Nikole J. Byrne is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Nikole J. Byrne has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 7 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Nikole J. Byrne's work include Cardiovascular Function and Risk Factors (6 papers), Adipose Tissue and Metabolism (4 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Nikole J. Byrne is often cited by papers focused on Cardiovascular Function and Risk Factors (6 papers), Adipose Tissue and Metabolism (4 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Nikole J. Byrne collaborates with scholars based in Canada, United States and United Kingdom. Nikole J. Byrne's co-authors include Jason R.B. Dyck, Jody Levasseur, Grant Masson, Heiko Bugger, Miranda M. Sung, E. Dale Abel, Ty T. Kim, Jamie Boisvenue, Carrie-Lynn M. Soltys and Namakkal S. Rajasekaran and has published in prestigious journals such as Circulation, Circulation Research and Diabetes.

In The Last Decade

Nikole J. Byrne

15 papers receiving 1.1k citations

Hit Papers

Cardiac Late Sodium Channel Current Is a Molecular Target... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nikole J. Byrne Canada 13 548 407 402 271 261 15 1.1k
Jody Levasseur Canada 17 547 1.0× 422 1.0× 504 1.3× 399 1.5× 249 1.0× 21 1.3k
Susana Vallejo Spain 20 381 0.7× 182 0.4× 258 0.6× 244 0.9× 114 0.4× 29 1.2k
Donna L. Beker Canada 13 265 0.5× 167 0.4× 266 0.7× 188 0.7× 133 0.5× 14 650
Flori R. Sari Japan 19 569 1.0× 281 0.7× 291 0.7× 176 0.6× 130 0.5× 32 1.4k
Grant Masson Canada 10 328 0.6× 141 0.3× 190 0.5× 179 0.7× 106 0.4× 12 606
Yunfeng Shen China 17 520 0.9× 387 1.0× 188 0.5× 165 0.6× 202 0.8× 46 1.3k
Guangyao Song China 22 678 1.2× 349 0.9× 141 0.4× 335 1.2× 164 0.6× 107 1.6k
Cecilia Morgantini Canada 18 334 0.6× 587 1.4× 205 0.5× 331 1.2× 443 1.7× 29 1.3k
Erica Vetrano Italy 19 394 0.7× 532 1.3× 348 0.9× 241 0.9× 253 1.0× 34 1.3k
Cristina Campos Carraro Brazil 18 223 0.4× 142 0.3× 291 0.7× 189 0.7× 117 0.4× 61 876

Countries citing papers authored by Nikole J. Byrne

Since Specialization
Citations

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

Fields of papers citing papers by Nikole J. Byrne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nikole J. Byrne. 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 Nikole J. Byrne. The network helps show where Nikole J. Byrne may publish in the future.

Co-authorship network of co-authors of Nikole J. Byrne

This figure shows the co-authorship network connecting the top 25 collaborators of Nikole J. Byrne. A scholar is included among the top collaborators of Nikole J. Byrne 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 Nikole J. Byrne. Nikole J. Byrne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Gopal, Keshav, Nikole J. Byrne, Bruno Saleme, et al.. (2022). TRIM35-mediated degradation of nuclear PKM2 destabilizes GATA4/6 and induces P53 in cardiomyocytes to promote heart failure. Science Translational Medicine. 14(669). eabm3565–eabm3565. 18 indexed citations
2.
Bugger, Heiko, Nikole J. Byrne, & E. Dale Abel. (2022). Animal Models of Dysregulated Cardiac Metabolism. Circulation Research. 130(12). 1965–1993. 21 indexed citations
3.
Byrne, Nikole J., Namakkal S. Rajasekaran, E. Dale Abel, & Heiko Bugger. (2021). Therapeutic potential of targeting oxidative stress in diabetic cardiomyopathy. Free Radical Biology and Medicine. 169. 317–342. 119 indexed citations
5.
Philippaert, Koenraad, Subha Kalyaanamoorthy, Mohammad Fatehi, et al.. (2021). Cardiac Late Sodium Channel Current Is a Molecular Target for the Sodium/Glucose Cotransporter 2 Inhibitor Empagliflozin. Circulation. 143(22). 2188–2204. 144 indexed citations breakdown →
6.
Byrne, Nikole J., Nobutoshi Matsumura, Zaid H. Maayah, et al.. (2020). Empagliflozin Blunts Worsening Cardiac Dysfunction Associated With Reduced NLRP3 (Nucleotide-Binding Domain-Like Receptor Protein 3) Inflammasome Activation in Heart Failure. Circulation Heart Failure. 13(1). e006277–e006277. 177 indexed citations
7.
Byrne, Nikole J., Shubham Soni, Shingo Takahara, et al.. (2020). Chronically Elevating Circulating Ketones Can Reduce Cardiac Inflammation and Blunt the Development of Heart Failure. Circulation Heart Failure. 13(6). e006573–e006573. 90 indexed citations
8.
Matsumura, Nobutoshi, Shingo Takahara, Zaid H. Maayah, et al.. (2018). Resveratrol improves cardiac function and exercise performance in MI-induced heart failure through the inhibition of cardiotoxic HETE metabolites. Journal of Molecular and Cellular Cardiology. 125. 162–173. 39 indexed citations
9.
Byrne, Nikole J., Nirmal Parajuli, Jody Levasseur, et al.. (2017). Empagliflozin Prevents Worsening of Cardiac Function in an Experimental Model of Pressure Overload-Induced Heart Failure. JACC Basic to Translational Science. 2(4). 347–354. 129 indexed citations
10.
Sung, Miranda M., Nikole J. Byrne, Ian M. Robertson, et al.. (2017). Resveratrol improves exercise performance and skeletal muscle oxidative capacity in heart failure. American Journal of Physiology-Heart and Circulatory Physiology. 312(4). H842–H853. 68 indexed citations
11.
Sung, Miranda M., Nikole J. Byrne, Ty T. Kim, et al.. (2017). Cardiomyocyte-specific ablation of CD36 accelerates the progression from compensated cardiac hypertrophy to heart failure. American Journal of Physiology-Heart and Circulatory Physiology. 312(3). H552–H560. 41 indexed citations
12.
Byrne, Nikole J., Jody Levasseur, Miranda M. Sung, et al.. (2016). Normalization of cardiac substrate utilization and left ventricular hypertrophy precede functional recovery in heart failure regression. Cardiovascular Research. 110(2). 249–257. 30 indexed citations
13.
Sung, Miranda M., Ty T. Kim, Emmanuel Denou, et al.. (2016). Improved Glucose Homeostasis in Obese Mice Treated With Resveratrol Is Associated With Alterations in the Gut Microbiome. Diabetes. 66(2). 418–425. 180 indexed citations
14.
Sung, Miranda M., Nikole J. Byrne, Jody Levasseur, et al.. (2015). Cardiomyocyte‐Specific Ablation of the Long‐Chain Fatty Acid Transporter CD36 Accelerates the Progression of Pressure Overload‐Induced Heart Failure in Mice. The FASEB Journal. 29(S1). 1 indexed citations
15.
Sung, Miranda M., Subhash K. Das, Jody Levasseur, et al.. (2014). Resveratrol Treatment of Mice With Pressure-Overload–Induced Heart Failure Improves Diastolic Function and Cardiac Energy Metabolism. Circulation Heart Failure. 8(1). 128–137. 81 indexed citations

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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