Joana Capote

706 total citations
16 papers, 562 citations indexed

About

Joana Capote is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Joana Capote has authored 16 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Biomedical Engineering. Recurrent topics in Joana Capote's work include Muscle Physiology and Disorders (8 papers), Neuroscience and Neural Engineering (6 papers) and Muscle activation and electromyography studies (6 papers). Joana Capote is often cited by papers focused on Muscle Physiology and Disorders (8 papers), Neuroscience and Neural Engineering (6 papers) and Muscle activation and electromyography studies (6 papers). Joana Capote collaborates with scholars based in United States, Mexico and Germany. Joana Capote's co-authors include Marino DiFranco, Julio L. Vergara, Marbella Quiñonez, Christopher Woods, Melissa J. Spencer, Irina Kramerova, M. Carrie Miceli, Sylvia Vetrone, H. Lee Sweeney and David Novo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and The Journal of Physiology.

In The Last Decade

Joana Capote

15 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joana Capote United States 11 420 175 106 104 86 16 562
Alexandre Briguet Switzerland 11 539 1.3× 120 0.7× 53 0.5× 59 0.6× 142 1.7× 13 658
Misako Kaido Japan 13 369 0.9× 105 0.6× 30 0.3× 109 1.0× 92 1.1× 31 500
M. Yamaguchi United States 13 358 0.9× 91 0.5× 67 0.6× 223 2.1× 74 0.9× 34 672
Rebecca Terry United Kingdom 10 391 0.9× 89 0.5× 54 0.5× 30 0.3× 125 1.5× 14 541
Sen Chandra Sreetama United States 12 479 1.1× 134 0.8× 28 0.3× 26 0.3× 140 1.6× 18 684
K. Azibi France 14 583 1.4× 220 1.3× 24 0.2× 162 1.6× 124 1.4× 18 770
François Tiaho France 13 290 0.7× 230 1.3× 73 0.7× 161 1.5× 16 0.2× 30 517
John Magne Kalhovde Norway 8 741 1.8× 134 0.8× 64 0.6× 97 0.9× 288 3.3× 12 961
Weiguang Zhu United States 8 851 2.0× 108 0.6× 47 0.4× 136 1.3× 238 2.8× 8 1.4k
John Hildyard United Kingdom 12 775 1.8× 47 0.3× 44 0.4× 103 1.0× 81 0.9× 23 856

Countries citing papers authored by Joana Capote

Since Specialization
Citations

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

Fields of papers citing papers by Joana Capote

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joana Capote

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

All Works

16 of 16 papers shown
1.
Kramerova, Irina, Natalia Ermolova, Ekaterina Mokhonova, et al.. (2019). Spp1 (osteopontin) promotes TGFβ processing in fibroblasts of dystrophin-deficient muscles through matrix metalloproteinases. Human Molecular Genetics. 28(20). 3431–3442. 51 indexed citations
2.
Peter, Angela K., Gaynor Miller, Joana Capote, et al.. (2017). Nanospan, an alternatively spliced isoform of sarcospan, localizes to the sarcoplasmic reticulum in skeletal muscle and is absent in limb girdle muscular dystrophy 2F. Skeletal Muscle. 7(1). 11–11. 2 indexed citations
3.
Capote, Joana, Irina Kramerova, Leonel Martinez, et al.. (2016). Osteopontin ablation ameliorates muscular dystrophy by shifting macrophages to a pro-regenerative phenotype. The Journal of Cell Biology. 213(2). 275–288. 98 indexed citations
4.
Capote, Joana, Marino DiFranco, & Julio L. Vergara. (2011). Differential Recording of Voltage Changes at the Surface and Transverse Tubular System Membranes of Mammalian Skeletal Muscle Fibers using Di-8-Anepps and Global and TIRFM. Biophysical Journal. 100(3). 590a–590a. 1 indexed citations
5.
Capote, Joana, Marino DiFranco, & Julio L. Vergara. (2010). Excitation-contraction coupling alterations in mdx and utrophin/dystrophin double knockout mice: a comparative study. American Journal of Physiology-Cell Physiology. 298(5). C1077–C1086. 30 indexed citations
6.
Capote, Joana, Marino DiFranco, & Julio L. Vergara. (2009). The Absence of Utrophin Does Not Further the Impairment of Ca2+ Release Displayed by mdx Muscle. Biophysical Journal. 96(3). 236a–236a. 1 indexed citations
7.
DiFranco, Marino, Marbella Quiñonez, Joana Capote, & Julio L. Vergara. (2009). DNA Transfection of Mammalian Skeletal Muscles using <em>In Vivo</em> Electroporation. Journal of Visualized Experiments. 87 indexed citations
8.
Moreno‐Indias, Isabel, N. Castro, Antonio Morales-delaNuez, et al.. (2009). Farm and factory production of goat cheese whey results in distinct chemical composition. Journal of Dairy Science. 92(10). 4792–4796. 19 indexed citations
9.
DiFranco, Marino, Marbella Quiñonez, Joana Capote, & Julio L. Vergara. (2009). DNA Transfection of Mammalian Skeletal Muscles using <em>In Vivo</em> Electroporation. Journal of Visualized Experiments. 2 indexed citations
10.
DiFranco, Marino, Christopher Woods, Joana Capote, & Julio L. Vergara. (2008). Dystrophic skeletal muscle fibers display alterations at the level of calcium microdomains. Proceedings of the National Academy of Sciences. 105(38). 14698–14703. 31 indexed citations
11.
DiFranco, Marino, Joana Capote, Marbella Quiñonez, & Julio L. Vergara. (2007). Voltage-dependent Dynamic FRET Signals from the Transverse Tubules in Mammalian Skeletal Muscle Fibers. The Journal of General Physiology. 130(6). 581–600. 37 indexed citations
12.
Capote, Joana, et al.. (2005). Calcium transients in developing mouse skeletal muscle fibres. The Journal of Physiology. 564(2). 451–464. 47 indexed citations
13.
Woods, Christopher, David Novo, Marino DiFranco, Joana Capote, & Julio L. Vergara. (2005). Propagation in the transverse tubular system and voltage dependence of calcium release in normal and mdx mouse muscle fibres. The Journal of Physiology. 568(3). 867–880. 62 indexed citations
14.
DiFranco, Marino, Patricia Ñeco, Joana Capote, Pratap Meera, & Julio L. Vergara. (2005). Quantitative evaluation of mammalian skeletal muscle as a heterologous protein expression system. Protein Expression and Purification. 47(1). 281–288. 40 indexed citations
15.
DiFranco, Marino, Joana Capote, & Julio L. Vergara. (2005). Optical Imaging and Functional Characterization of the Transverse Tubular System of Mammalian Muscle Fibers using the Potentiometric Indicator di-8-ANEPPS. The Journal of Membrane Biology. 208(2). 141–153. 45 indexed citations
16.
Álvarez, S., et al.. (2003). A note of the chemical composition, intake, and digestion of Atriplex halimus by goat.. 226–228. 9 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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