Danielle R. Bruns

591 total citations
35 papers, 416 citations indexed

About

Danielle R. Bruns is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Danielle R. Bruns has authored 35 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 12 papers in Molecular Biology and 9 papers in Physiology. Recurrent topics in Danielle R. Bruns's work include Cardiac Fibrosis and Remodeling (10 papers), Cardiovascular Function and Risk Factors (8 papers) and Cardiovascular Effects of Exercise (7 papers). Danielle R. Bruns is often cited by papers focused on Cardiac Fibrosis and Remodeling (10 papers), Cardiovascular Function and Risk Factors (8 papers) and Cardiovascular Effects of Exercise (7 papers). Danielle R. Bruns collaborates with scholars based in United States and Japan. Danielle R. Bruns's co-authors include Frederick F. Peelor, Benjamin F. Miller, Karyn L. Hamilton, Laurie M. Biela, Joshua C. Drake, Kathleen C. Woulfe, Richard A. Miller, Kenton E. Stephens, Lori A. Walker and Pavel Chernyavskiy and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The FASEB Journal.

In The Last Decade

Danielle R. Bruns

31 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle R. Bruns United States 12 209 125 96 53 49 35 416
Michal K. Handzlik United States 13 285 1.4× 204 1.6× 44 0.5× 115 2.2× 16 0.3× 19 660
Daniella E. Duque-Guimarães United Kingdom 13 204 1.0× 272 2.2× 49 0.5× 33 0.6× 15 0.3× 19 701
Rikke Kruse Denmark 11 238 1.1× 146 1.2× 29 0.3× 78 1.5× 29 0.6× 13 395
Amber C. Howard United States 7 170 0.8× 76 0.6× 14 0.1× 65 1.2× 71 1.4× 10 407
Anja Böhm Germany 16 292 1.4× 350 2.8× 81 0.8× 48 0.9× 8 0.2× 31 763
Jeffrey S. Thresher United States 15 328 1.6× 212 1.7× 23 0.2× 100 1.9× 20 0.4× 20 588
Cristina M. Zingaretti Italy 6 249 1.2× 382 3.1× 136 1.4× 55 1.0× 6 0.1× 6 594
Theresa Schöttl Germany 7 176 0.8× 315 2.5× 87 0.9× 73 1.4× 8 0.2× 8 464
Tanja Miličić Serbia 10 154 0.7× 136 1.1× 65 0.7× 16 0.3× 6 0.1× 31 480
Magdalena Rhedin Sweden 8 139 0.7× 224 1.8× 39 0.4× 18 0.3× 9 0.2× 11 444

Countries citing papers authored by Danielle R. Bruns

Since Specialization
Citations

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

Fields of papers citing papers by Danielle R. Bruns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle R. Bruns. 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 Danielle R. Bruns. The network helps show where Danielle R. Bruns may publish in the future.

Co-authorship network of co-authors of Danielle R. Bruns

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle R. Bruns. A scholar is included among the top collaborators of Danielle R. Bruns 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 Danielle R. Bruns. Danielle R. Bruns 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
1.
Mehl, E., et al.. (2025). Cardiac PAD2 expression and myocardial citrullination decline with age in female mice independent of estrogen. American Journal of Physiology-Heart and Circulatory Physiology. 329(1). H271–H281.
2.
Todd, William D., et al.. (2025). Circadian biology of cardiac aging. Journal of Molecular and Cellular Cardiology. 199. 95–103.
3.
Cook, Christopher L., et al.. (2024). Right ventricular dysfunction in preclinical models of type I and type II diabetes. Canadian Journal of Physiology and Pharmacology. 103(3). 86–97.
4.
Woulfe, Kathleen C., et al.. (2024). The influence of estrogen on myocardial post-translational modifications and cardiac function in women. Canadian Journal of Physiology and Pharmacology. 102(8). 452–464. 1 indexed citations
5.
Gigley, Jason P., et al.. (2024). Molecular and physiological mechanisms of aging are distinct in the cardiac right and left ventricles. Aging Cell. 24(1). e14339–e14339. 2 indexed citations
6.
Bruns, Danielle R., et al.. (2023). Skeletal and cardiac muscle have different protein turnover responses in a model of right heart failure. GeroScience. 45(4). 2545–2557. 5 indexed citations
7.
Bruns, Danielle R., et al.. (2023). More than just a small left ventricle: the right ventricular fibroblast and ECM in health and disease. American Journal of Physiology-Heart and Circulatory Physiology. 325(2). H385–H397. 6 indexed citations
8.
Walker, Lori A., et al.. (2023). Metformin protects against pulmonary hypertension-induced right ventricular dysfunction in an age- and sex-specific manner independent of cardiac AMPK. American Journal of Physiology-Heart and Circulatory Physiology. 325(2). H278–H292. 3 indexed citations
9.
Bruns, Danielle R., et al.. (2023). Juvenile physical activity protects against isoproterenol-induced cardiac dysfunction later in life. Journal of Applied Physiology. 135(3). 572–583. 1 indexed citations
10.
Todd, William D., et al.. (2023). Voluntary Wheel Running Exercise Does Not Attenuate Circadian and Cardiac Dysfunction Caused by Conditional Deletion of Bmal1. Journal of Biological Rhythms. 38(3). 290–304. 5 indexed citations
11.
Bobadilla, Ana‐Clara, et al.. (2023). Physiological and Morphometric Differences in Resident Moderate-Altitude vs. Sea-Level Mice. Aerospace Medicine and Human Performance. 94(12). 887–893. 1 indexed citations
12.
Bruns, Danielle R., et al.. (2022). Exposure to High Altitude Promotes Loss of Muscle Mass That Is Not Rescued by Metformin. High Altitude Medicine & Biology. 23(3). 215–222. 3 indexed citations
13.
Woulfe, Kathleen C., et al.. (2022). Mechanisms and implications of sex differences in cardiac aging. PubMed. 2. 22 indexed citations
14.
Bruns, Danielle R., et al.. (2022). Mechanisms of Exercise-Induced Cardiac Remodeling Differ Between Young and Aged Hearts. Exercise and Sport Sciences Reviews. 50(3). 137–144. 3 indexed citations
15.
Chhatre, Vikram E., et al.. (2021). Transcriptomic analysis of cardiac gene expression across the life course in male and female mice. Physiological Reports. 9(13). e14940–e14940. 9 indexed citations
16.
Stephens, Kenton E., Pavel Chernyavskiy, & Danielle R. Bruns. (2021). Impact of altitude on COVID-19 infection and death in the United States: A modeling and observational study. PLoS ONE. 16(1). e0245055–e0245055. 25 indexed citations
17.
Bruns, Danielle R., et al.. (2021). Inhibition of mTOR by rapamycin does not improve hypoxic pulmonary hypertension-induced right heart failure in old mice. Experimental Gerontology. 151. 111395–111395. 8 indexed citations
18.
Chhatre, Vikram E., et al.. (2021). Cardiac response to adrenergic stress differs by sex and across the lifespan. GeroScience. 43(4). 1799–1813. 19 indexed citations
19.
Bruns, Danielle R., et al.. (2020). The Peripheral Circadian Clock and Exercise: Lessons from Young and Old Mice. SHILAP Revista de lepidopterología. 18(1). 7–7. 14 indexed citations
20.

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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