Amanda J. LeBlanc

1.5k total citations
57 papers, 1.0k citations indexed

About

Amanda J. LeBlanc is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Amanda J. LeBlanc has authored 57 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Cardiology and Cardiovascular Medicine and 18 papers in Physiology. Recurrent topics in Amanda J. LeBlanc's work include Nitric Oxide and Endothelin Effects (9 papers), Cardiovascular Disease and Adiposity (8 papers) and Mesenchymal stem cell research (7 papers). Amanda J. LeBlanc is often cited by papers focused on Nitric Oxide and Endothelin Effects (9 papers), Cardiovascular Disease and Adiposity (8 papers) and Mesenchymal stem cell research (7 papers). Amanda J. LeBlanc collaborates with scholars based in United States, Canada and Japan. Amanda J. LeBlanc's co-authors include James B. Hoying, Judy M. Muller‐Delp, Stuart K. Williams, Timothy R. Nurkiewicz, D. G. Frazer, Vincent Castranova, Lori S. Kang, Jason E. Beare, Rafael Reyes and Robert D. Shipley and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Amanda J. LeBlanc

54 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amanda J. LeBlanc United States 19 275 246 221 206 131 57 1.0k
Yuka Suzuki Japan 17 473 1.7× 95 0.4× 58 0.3× 185 0.9× 64 0.5× 31 1.1k
Rebecca Chapman United States 13 384 1.4× 108 0.4× 128 0.6× 74 0.4× 303 2.3× 15 1.1k
Zhexue Qin China 18 395 1.4× 216 0.9× 99 0.4× 100 0.5× 35 0.3× 45 1.1k
Jean-Marc Hyvelin France 22 361 1.3× 111 0.5× 180 0.8× 143 0.7× 33 0.3× 45 1.1k
Ricardo Villa‐Bellosta Spain 28 731 2.7× 198 0.8× 119 0.5× 105 0.5× 85 0.6× 54 2.3k
Toshifumi Morooka Japan 13 265 1.0× 334 1.4× 92 0.4× 321 1.6× 34 0.3× 21 1.0k
Uttara Saran India 16 431 1.6× 143 0.6× 182 0.8× 30 0.1× 62 0.5× 28 1.1k
Lucas DeMaio United States 16 384 1.4× 130 0.5× 74 0.3× 43 0.2× 62 0.5× 20 1.2k
Guobao Wang China 18 259 0.9× 94 0.4× 60 0.3× 89 0.4× 113 0.9× 58 1.2k
Surovi Hazarika United States 13 524 1.9× 270 1.1× 102 0.5× 112 0.5× 109 0.8× 21 902

Countries citing papers authored by Amanda J. LeBlanc

Since Specialization
Citations

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

Fields of papers citing papers by Amanda J. LeBlanc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda J. LeBlanc

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda J. LeBlanc. A scholar is included among the top collaborators of Amanda J. LeBlanc 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 Amanda J. LeBlanc. Amanda J. LeBlanc 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.
Tan, Yi, Jianxiang Xu, Amanda J. LeBlanc, et al.. (2025). Right ventricular dysfunctions in type 1 diabetic mice: A longitudinal study. World Journal of Diabetes. 16(10). 109526–109526.
2.
Beare, Jason E., Yoram Fleissig, Robert M. Reed, et al.. (2023). Mimicking Clinical Rejection Patterns in a Rat Osteomyocutaneous Flap Model of Vascularized Composite Allotransplantation. Journal of Surgical Research. 295. 28–40. 2 indexed citations
3.
Beare, Jason E., et al.. (2022). Stromal Vascular Fraction Restores Vasodilatory Function by Reducing Oxidative Stress in Aging-Induced Coronary Microvascular Disease. Antioxidants and Redox Signaling. 38(4-6). 261–281. 5 indexed citations
4.
Benson, D. Frank, et al.. (2022). State of the field: cellular and exosomal therapeutic approaches in vascular regeneration. American Journal of Physiology-Heart and Circulatory Physiology. 322(4). H647–H680. 18 indexed citations
5.
Ait‐Aissa, Karima, William E. Hughes, Joseph C. Hockenberry, et al.. (2022). Noncanonical Role of Telomerase in Regulation of Microvascular Redox Environment With Implications for Coronary Artery Disease. Function. 3(5). zqac043–zqac043. 13 indexed citations
6.
Beare, Jason E., et al.. (2022). Stromal Vascular Fraction Reverses the Age-Related Impairment in Revascularization following Injury. Journal of Vascular Research. 59(6). 343–357. 5 indexed citations
7.
Beare, Jason E., et al.. (2021). Cell therapy rescues aging-induced beta-1 adrenergic receptor and GRK2 dysfunction in the coronary microcirculation. GeroScience. 44(1). 329–348. 10 indexed citations
8.
Hughes, William E., et al.. (2021). Aging-Induced Impairment of Vascular Function: Mitochondrial Redox Contributions and Physiological/Clinical Implications. Antioxidants and Redox Signaling. 35(12). 974–1015. 18 indexed citations
9.
Chilton, Paula M., et al.. (2020). Adipose‐resident myeloid‐derived suppressor cells modulate immune cell homeostasis in healthy mice. Immunology and Cell Biology. 98(8). 650–666. 5 indexed citations
10.
Beare, Jason E., et al.. (2020). Thrombospondin‐1 mediates Drp‐1 signaling following ischemia reperfusion in the aging heart. FASEB BioAdvances. 2(5). 304–314. 14 indexed citations
11.
12.
Beare, Jason E., et al.. (2019). Evaluation of Coronary Flow Reserve After Myocardial Ischemia Reperfusion in Rats. Journal of Visualized Experiments. 8 indexed citations
13.
Beare, Jason E., et al.. (2018). Adipose-derived cells improve left ventricular diastolic function and increase microvascular perfusion in advanced age. PLoS ONE. 13(8). e0202934–e0202934. 18 indexed citations
14.
LeBlanc, Amanda J., et al.. (2017). Thrombospondin-1, Free Radicals, and the Coronary Microcirculation: The Aging Conundrum. Antioxidants and Redox Signaling. 27(12). 785–801. 15 indexed citations
15.
LeBlanc, Amanda J., Laxminarayanan Krishnan, Christopher J. Sullivan, Stuart K. Williams, & James B. Hoying. (2012). Microvascular Repair: Post‐Angiogenesis Vascular Dynamics. Microcirculation. 19(8). 676–695. 44 indexed citations
16.
Coentrão, Luís, et al.. (2010). Treatment of severe dialysis reactions with the AN69-ST membrane: biocompatibility does matter. Clinical Kidney Journal. 3(3). 298–299. 1 indexed citations
17.
18.
LeBlanc, Amanda J., et al.. (2008). Duplication and triplication of der(21)t(8;21)(q22;q22) in acute myeloid leukemia. Cancer Genetics and Cytogenetics. 188(2). 83–87. 3 indexed citations
19.
LeBlanc, Amanda J., Rafael Reyes, & Judy M. Muller‐Delp. (2008). Advancing age and loss of ovarian hormones impair flow‐induced dilation in the female coronary microvasculature. The FASEB Journal. 22(S1). 1 indexed citations
20.
Rosenstiel, Philip, Tina Gruosso, Audrey Letourneau, et al.. (2008). HIV-1 Vpr inhibits cytokinesis in human proximal tubule cells. Kidney International. 74(8). 1049–1058. 39 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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