Luis M. Escudero

2.0k total citations
52 papers, 1.2k citations indexed

About

Luis M. Escudero is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Luis M. Escudero has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Cell Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Luis M. Escudero's work include Cellular Mechanics and Interactions (12 papers), Developmental Biology and Gene Regulation (7 papers) and Cell Image Analysis Techniques (6 papers). Luis M. Escudero is often cited by papers focused on Cellular Mechanics and Interactions (12 papers), Developmental Biology and Gene Regulation (7 papers) and Cell Image Analysis Techniques (6 papers). Luis M. Escudero collaborates with scholars based in Spain, United Kingdom and United States. Luis M. Escudero's co-authors include Matthew Freeman, Marcus Bischoff, R.D. Lobato, Juan Modolell, Alberto Pascual, E. Lamas, Pedro Gómez‐Gálvez, Javier Esparza, Shu‐Yi Wei and Jui‐Chou Hsu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

In The Last Decade

Luis M. Escudero

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis M. Escudero Spain 20 562 483 200 127 125 52 1.2k
Anan Ragab United Kingdom 14 682 1.2× 428 0.9× 110 0.6× 109 0.9× 109 0.9× 15 1.3k
Rebecca McLennan United States 19 839 1.5× 340 0.7× 298 1.5× 111 0.9× 111 0.9× 48 1.3k
Abbas Shirinifard United States 17 591 1.1× 437 0.9× 66 0.3× 281 2.2× 262 2.1× 32 1.3k
Galina Schevzov Australia 30 1.6k 2.8× 1.5k 3.1× 206 1.0× 102 0.8× 110 0.9× 50 2.6k
Louis Dye United States 11 853 1.5× 555 1.1× 156 0.8× 278 2.2× 91 0.7× 18 1.4k
Salim Abdelilah‐Seyfried Germany 31 1.9k 3.4× 827 1.7× 172 0.9× 94 0.7× 103 0.8× 75 2.6k
Ankur Saxena United States 15 942 1.7× 399 0.8× 184 0.9× 139 1.1× 217 1.7× 39 1.8k
Begoña Díaz United States 23 919 1.6× 633 1.3× 103 0.5× 249 2.0× 88 0.7× 44 1.8k
Yang Hong United States 24 1.4k 2.5× 1.2k 2.6× 272 1.4× 143 1.1× 59 0.5× 49 2.5k
Michinori Toriyama Japan 18 493 0.9× 443 0.9× 348 1.7× 150 1.2× 94 0.8× 36 1.2k

Countries citing papers authored by Luis M. Escudero

Since Specialization
Citations

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

Fields of papers citing papers by Luis M. Escudero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis M. Escudero. 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 Luis M. Escudero. The network helps show where Luis M. Escudero may publish in the future.

Co-authorship network of co-authors of Luis M. Escudero

This figure shows the co-authorship network connecting the top 25 collaborators of Luis M. Escudero. A scholar is included among the top collaborators of Luis M. Escudero 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 Luis M. Escudero. Luis M. Escudero 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.
Barone, Vanessa, et al.. (2024). Local and global changes in cell density induce reorganisation of 3D packing in a proliferating epithelium. Development. 151(20). 3 indexed citations
2.
Gómez‐Gálvez, Pedro, Ana M. Palacios, Valentina Annese, et al.. (2022). A quantitative biophysical principle to explain the 3D cellular connectivity in curved epithelia. Cell Systems. 13(8). 631–643.e8. 9 indexed citations
3.
Gómez‐Gálvez, Pedro, et al.. (2021). The complex three-dimensional organization of epithelial tissues. Development. 148(1). 22 indexed citations
4.
Gómez‐Gálvez, Pedro, et al.. (2021). Mechanics and self-organization in tissue development. Seminars in Cell and Developmental Biology. 120. 147–159. 17 indexed citations
5.
Barrera, Víctor Hugo, et al.. (2021). Characterization and Classification of Agricultural Production Systems in the Galapagos Islands (Ecuador). Agricultural Sciences. 12(5). 481–502. 8 indexed citations
6.
Burgos‐Panadero, Rebeca, et al.. (2019). The topology of vitronectin: A complementary feature for neuroblastoma risk classification based on computer‐aided detection. International Journal of Cancer. 146(2). 553–565. 12 indexed citations
7.
Gómez‐Gálvez, Pedro, et al.. (2019). EpiGraph: an open-source platform to quantify epithelial organization. Bioinformatics. 36(4). 1314–1316. 11 indexed citations
8.
Barrera, Víctor Hugo, et al.. (2019). Productividad y sostenibilidad de los sistemas de producción agropecuaria de las islas Galápagos-Ecuador. 2 indexed citations
9.
Suárez‐Calvet, Xavier, Eduard Gallardo, Natàlia de la Oliva, et al.. (2018). Nintedanib decreases muscle fibrosis and improves muscle function in a murine model of dystrophinopathy. Cell Death and Disease. 9(7). 776–776. 33 indexed citations
10.
Gómez‐Gálvez, Pedro, Florencia Cavodeassi, Sol Sotillos, et al.. (2018). Scutoids are a geometrical solution to three-dimensional packing of epithelia. Nature Communications. 9(1). 2960–2960. 99 indexed citations
11.
Sáez, Aurora, et al.. (2017). Rules of tissue packing involving different cell types: human muscle organization. Scientific Reports. 7(1). 40444–40444. 7 indexed citations
12.
Tozluoǧlu, Melda, et al.. (2015). Fundamental physical cellular constraints drive self‐organization of tissues. The EMBO Journal. 35(1). 77–88. 77 indexed citations
13.
Certaines, Jacques D. de, Thibaut Larcher, Dorota Duda, et al.. (2015). Application of texture analysis to muscle MRI: 1-What kind of information should be expected from texture analysis?. SPIRE - Sciences Po Institutional REpository. 3(1). 21 indexed citations
14.
Emmanuele, Valentina, Akatsuki Kubota, Beatriz García-Díaz, et al.. (2014). Fhl1 W122S causes loss of protein function and late-onset mild myopathy. Human Molecular Genetics. 24(3). 714–726. 7 indexed citations
15.
Tadeo, Irene, et al.. (2014). Biotensegrity of the Extracellular Matrix: Physiology, Dynamic Mechanical Balance, and Implications in Oncology and Mechanotherapy. Frontiers in Oncology. 4. 39–39. 42 indexed citations
16.
Delgado, Jorge A., Cole D. Gross, Kazimierz Kowalski, et al.. (2011). Nitrogen Index 4.4. User Manual. VTechWorks (Virginia Tech).
17.
Escudero, Luis M., et al.. (2010). Imaginal discs. Current Biology. 20(10). R429–R431. 23 indexed citations
18.
Escudero, Luis M. & Matthew Freeman. (2007). Mechanism of G1 arrest in the Drosophilaeye imaginal disc. BMC Developmental Biology. 7(1). 13–13. 34 indexed citations
19.
Wei, Shu‐Yi, Luis M. Escudero, Fengwei Yu, et al.. (2005). Echinoid Is a Component of Adherens Junctions That Cooperates with DE-Cadherin to Mediate Cell Adhesion. Developmental Cell. 8(4). 493–504. 146 indexed citations
20.
Escudero, Luis M., et al.. (1997). Distribución, concentración y aspectos biológico pesquero de los principales recursos pelágicos. Crucero BIC Humaboldt 9608-09. Instituto del Mar del Perú - IMARPE. 1 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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