Alexia Vite

901 total citations
21 papers, 637 citations indexed

About

Alexia Vite is a scholar working on Cardiology and Cardiovascular Medicine, Cell Biology and Molecular Biology. According to data from OpenAlex, Alexia Vite has authored 21 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 9 papers in Cell Biology and 6 papers in Molecular Biology. Recurrent topics in Alexia Vite's work include Cardiomyopathy and Myosin Studies (6 papers), Cellular Mechanics and Interactions (6 papers) and Cardiovascular Effects of Exercise (6 papers). Alexia Vite is often cited by papers focused on Cardiomyopathy and Myosin Studies (6 papers), Cellular Mechanics and Interactions (6 papers) and Cardiovascular Effects of Exercise (6 papers). Alexia Vite collaborates with scholars based in United States, France and India. Alexia Vite's co-authors include Glenn L. Radice, Kenneth B. Margulies, Jifen Li, Benjamin L. Prosser, Matthew A. Caporizzo, Kenneth Bedi, Neil Kelly, Julie Heffler, Yingxian Chen and Apoorva Babu and has published in prestigious journals such as Circulation, Nature Medicine and PLoS ONE.

In The Last Decade

Alexia Vite

20 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexia Vite United States 12 348 269 216 95 72 21 637
Felix W. Friedrich Germany 16 424 1.2× 384 1.4× 47 0.2× 132 1.4× 60 0.8× 33 711
Kyle S. Buchholz United States 6 200 0.6× 121 0.4× 103 0.5× 51 0.5× 49 0.7× 10 345
Hiroyuki Kito Japan 11 220 0.6× 54 0.2× 146 0.7× 72 0.8× 61 0.8× 19 512
Danchen Gao China 5 645 1.9× 265 1.0× 60 0.3× 33 0.3× 64 0.9× 7 820
Philip M. Tan United States 5 176 0.5× 102 0.4× 69 0.3× 57 0.6× 48 0.7× 9 341
Alison K. Schroer United States 8 98 0.3× 119 0.4× 65 0.3× 73 0.8× 100 1.4× 8 313
Andreas Brodehl Germany 22 515 1.5× 886 3.3× 290 1.3× 55 0.6× 24 0.3× 46 1.2k
M Szewczykowska Australia 2 563 1.6× 273 1.0× 43 0.2× 312 3.3× 65 0.9× 2 797
Maria A Missinato United States 10 304 0.9× 65 0.2× 49 0.2× 122 1.3× 95 1.3× 12 490
Camilla Schinner Germany 12 133 0.4× 171 0.6× 37 0.2× 45 0.5× 27 0.4× 15 347

Countries citing papers authored by Alexia Vite

Since Specialization
Citations

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

Fields of papers citing papers by Alexia Vite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexia Vite

This figure shows the co-authorship network connecting the top 25 collaborators of Alexia Vite. A scholar is included among the top collaborators of Alexia Vite 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 Alexia Vite. Alexia Vite 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.
Clark, Andy T., et al.. (2024). A Dynamic Gradient Stiffness Material Platform to Manipulate Cardiac Fibroblasts' Spatio‐Temporal Behavior. Advanced Functional Materials. 34(38). 2 indexed citations
2.
Vite, Alexia, et al.. (2024). Distinct cytoskeletal regulators of mechanical memory in cardiac fibroblasts and cardiomyocytes. Basic Research in Cardiology. 119(2). 277–289. 6 indexed citations
3.
Vite, Alexia, Timothy Matsuura, Kenneth Bedi, et al.. (2023). Functional Impact of Alternative Metabolic Substrates in Failing Human Cardiomyocytes. JACC Basic to Translational Science. 9(1). 1–15. 6 indexed citations
4.
Vite, Alexia, Elise A. Corbin, Alexander I. Bennett, et al.. (2023). Biomechanical Impact of Pathogenic MYBPC3 Truncation Variant Revealed by Dynamically Tuning In Vitro Afterload. Journal of Cardiovascular Translational Research. 16(4). 828–841. 4 indexed citations
5.
Lee, Benjamin W., Matthew A. Caporizzo, Christina Y. Chen, et al.. (2023). Adult human cardiomyocyte mechanics in osteogenesis imperfecta. American Journal of Physiology-Heart and Circulatory Physiology. 325(4). H814–H821. 2 indexed citations
6.
7.
Vite, Alexia, Matthew A. Caporizzo, Elise A. Corbin, et al.. (2022). Extracellular stiffness induces contractile dysfunction in adult cardiomyocytes via cell-autonomous and microtubule-dependent mechanisms. Basic Research in Cardiology. 117(1). 41–41. 11 indexed citations
8.
Corbin, Elise A., Alexia Vite, Eliot Peyster, et al.. (2019). Tunable and Reversible Substrate Stiffness Reveals a Dynamic Mechanosensitivity of Cardiomyocytes. ACS Applied Materials & Interfaces. 11(23). 20603–20614. 60 indexed citations
9.
Corbin, Elise A., et al.. (2019). Abstract 756: Sunitinib-Induced Cardiotoxicity in an Engineered Cardiac Microtissue Model With Dynamically Tunable Afterload. Circulation Research. 125(Suppl_1). 1 indexed citations
10.
11.
Vite, Alexia, Matthew A. Caporizzo, Elise A. Corbin, et al.. (2019). Abstract 214: Effect of Matrix Stiffness on Adult Cardiomyocytes Using Dynamic, Tunable, and Reversible Magnetorheological PDMS Substrates. Circulation Research. 125(Suppl_1). 1 indexed citations
12.
Truitt, Rachel, Anbin Mu, Elise A. Corbin, et al.. (2018). Increased Afterload Augments Sunitinib-Induced Cardiotoxicity in an Engineered Cardiac Microtissue Model. JACC Basic to Translational Science. 3(2). 265–276. 42 indexed citations
13.
Chen, Yingxian, Matthew A. Caporizzo, Kenneth Bedi, et al.. (2018). Suppression of detyrosinated microtubules improves cardiomyocyte function in human heart failure. Nature Medicine. 24(8). 1225–1233. 183 indexed citations
14.
Vite, Alexia, et al.. (2018). α-Catenin-dependent cytoskeletal tension controls Yap activity in the heart. Development. 145(5). 57 indexed citations
15.
Vite, Alexia, Jifen Li, & Glenn L. Radice. (2015). New functions for alpha-catenins in health and disease: from cancer to heart regeneration. Cell and Tissue Research. 360(3). 773–783. 37 indexed citations
16.
Vite, Alexia & Glenn L. Radice. (2014). N-Cadherin/Catenin Complex as a Master Regulator of Intercalated Disc Function. Cell Communication & Adhesion. 21(3). 169–179. 51 indexed citations
17.
Li, Jifen, Erhe Gao, Alexia Vite, et al.. (2014). Alpha-Catenins Control Cardiomyocyte Proliferation by Regulating Yap Activity. Circulation Research. 116(1). 70–79. 100 indexed citations
18.
Gandjbakhch, Estelle, Alexia Vite, Françoise Gary, et al.. (2013). Screening of genes encoding junctional candidates in arrhythmogenic right ventricular cardiomyopathy/dysplasia. EP Europace. 15(10). 1522–1525. 15 indexed citations
19.
Vite, Alexia, Estelle Gandjbakhch, Cathérine Prost, et al.. (2013). Desmosomal Cadherins Are Decreased in Explanted Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy Patient Hearts. PLoS ONE. 8(9). e75082–e75082. 22 indexed citations
20.
Gandjbakhch, Estelle, Philippe Charron, Véronique Fressart, et al.. (2011). Plakophilin 2A is the dominant isoform in human heart tissue: consequences for the genetic screening of arrhythmogenic right ventricular cardiomyopathy. Heart. 97(10). 844–849. 13 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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