Ricardo Escalante

15.8k total citations
79 papers, 2.2k citations indexed

About

Ricardo Escalante is a scholar working on Cell Biology, Molecular Biology and Epidemiology. According to data from OpenAlex, Ricardo Escalante has authored 79 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cell Biology, 32 papers in Molecular Biology and 22 papers in Epidemiology. Recurrent topics in Ricardo Escalante's work include Autophagy in Disease and Therapy (22 papers), Cellular Mechanics and Interactions (21 papers) and Endoplasmic Reticulum Stress and Disease (19 papers). Ricardo Escalante is often cited by papers focused on Autophagy in Disease and Therapy (22 papers), Cellular Mechanics and Interactions (21 papers) and Endoplasmic Reticulum Stress and Disease (19 papers). Ricardo Escalante collaborates with scholars based in Spain, United States and United Kingdom. Ricardo Escalante's co-authors include Leandro Sastre, William F. Loomis, Juan Jesus Vicente, Javier Calvo‐Garrido, Gad Shaulsky, María Galardi‐Castilla, Sergio Carilla-Latorre, Luis Carlos Tábara, Olivier Vincent and Rosa Calvo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Ricardo Escalante

77 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ricardo Escalante Spain 27 1.1k 867 491 219 190 79 2.2k
Siegfried Reipert Austria 25 1.5k 1.3× 835 1.0× 303 0.6× 141 0.6× 131 0.7× 66 2.4k
Annette Siebers Germany 15 1.5k 1.4× 311 0.4× 337 0.7× 142 0.6× 259 1.4× 27 2.5k
Brian D. Dill United States 25 1.5k 1.4× 216 0.2× 205 0.4× 194 0.9× 115 0.6× 31 2.4k
Emmanuelle Caron United Kingdom 29 1.4k 1.3× 1.1k 1.2× 180 0.4× 404 1.8× 325 1.7× 52 3.7k
Yoichi Kamata Japan 30 952 0.8× 549 0.6× 73 0.1× 145 0.7× 182 1.0× 120 3.0k
Karine Lindmo Norway 11 569 0.5× 522 0.6× 653 1.3× 208 0.9× 91 0.5× 14 1.7k
Carsten Kuenne Germany 27 2.3k 2.0× 325 0.4× 232 0.5× 122 0.6× 374 2.0× 53 3.5k
Takeshi Maruyama Japan 25 1.8k 1.6× 497 0.6× 278 0.6× 248 1.1× 386 2.0× 84 2.9k
Nikolas Nikolaidis United States 26 1.1k 1.0× 590 0.7× 99 0.2× 48 0.2× 224 1.2× 63 2.4k
Li‐xin Xiang China 37 1.2k 1.1× 209 0.2× 156 0.3× 86 0.4× 138 0.7× 102 4.0k

Countries citing papers authored by Ricardo Escalante

Since Specialization
Citations

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

Fields of papers citing papers by Ricardo Escalante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Escalante

This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Escalante. A scholar is included among the top collaborators of Ricardo Escalante 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 Ricardo Escalante. Ricardo Escalante 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.
Navas, María‐Ángeles, et al.. (2025). The PKA Signaling Pathway Regulates the Association of the Autophagy Initiation Complex With the Lipidation Machinery. Journal of Molecular Biology. 437(5). 168954–168954. 2 indexed citations
2.
Vincent, Olivier, et al.. (2023). The association of lipid transfer protein VPS13A with endosomes is mediated by sorting nexin SNX5. Life Science Alliance. 6(6). e202201852–e202201852. 6 indexed citations
3.
Navas, María‐Ángeles, et al.. (2023). Coiled-coil-mediated dimerization of Atg16 is required for binding to the PROPPIN Atg21. Open Biology. 13(11). 230192–230192. 3 indexed citations
4.
Navas, María‐Ángeles, et al.. (2023). Effect of rapamycin on lysosomal accumulation in a CRISPR/Cas9‐based cellular model of VPS13A deficiency. Journal of Cellular and Molecular Medicine. 27(11). 1557–1564. 4 indexed citations
5.
6.
Ongay‐Larios, Laura, et al.. (2018). IreA Controls Endoplasmic Reticulum Stress-Induced Autophagy and Survival through Homeostasis Recovery. Molecular and Cellular Biology. 38(13). 13 indexed citations
7.
Tábara, Luis Carlos, Juan Jesus Vicente, Joanna Biazik, et al.. (2018). Vacuole membrane protein 1 marks endoplasmic reticulum subdomains enriched in phospholipid synthesizing enzymes and is required for phosphoinositide distribution. Traffic. 19(8). 624–638. 18 indexed citations
8.
Flis, Krzysztof, et al.. (2017). Yeast and other lower eukaryotic organisms for studies of Vps13 proteins in health and disease. Traffic. 18(11). 711–719. 36 indexed citations
9.
Tábara, Luis Carlos & Ricardo Escalante. (2016). VMP1 Establishes ER-Microdomains that Regulate Membrane Contact Sites and Autophagy. PLoS ONE. 11(11). e0166499–e0166499. 72 indexed citations
10.
Escalante, Ricardo, et al.. (2016). Ostomijų komplikacijos. 15(1). 11–13. 1 indexed citations
11.
12.
Calvo‐Garrido, Javier, et al.. (2014). Vmp1 Regulates PtdIns3P Signaling During Autophagosome Formation in Dictyostelium discoideum. Traffic. 15(11). 1235–1246. 41 indexed citations
13.
Romeralo, María, Sandra L. Baldauf, & Ricardo Escalante. (2013). Dictyostelids : evolution, genomics and cell biology. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 13 indexed citations
14.
Calvo‐Garrido, Javier & Ricardo Escalante. (2010). Autophagy dysfunction and ubiquitin-positive protein aggregates in Dictyostelium cells lacking Vmp1. Autophagy. 6(1). 100–109. 58 indexed citations
15.
Linares, Juan F., Renata Moreno, Alicia Fajardo Lubián, et al.. (2010). The global regulator Crc modulates metabolism, susceptibility to antibiotics and virulence in Pseudomonas aeruginosa. Environmental Microbiology. 12(12). 3196–3212. 122 indexed citations
16.
Annesley, Sarah J., et al.. (2010). The Dictyostelium model for mitochondrial disease. Seminars in Cell and Developmental Biology. 22(1). 120–130. 38 indexed citations
17.
Calvo‐Garrido, Javier, Sergio Carilla-Latorre, Francisco Lázaro‐Diéguez, Gustavo Egea, & Ricardo Escalante. (2008). Vacuole Membrane Protein 1 Is an Endoplasmic Reticulum Protein Required for Organelle Biogenesis, Protein Secretion, and Development. Molecular Biology of the Cell. 19(8). 3442–3453. 51 indexed citations
18.
Calvo‐Garrido, Javier, Sergio Carilla-Latorre, & Ricardo Escalante. (2008). Vacuole membrane protein 1, autophagy and much more. Autophagy. 4(6). 835–837. 24 indexed citations
19.
Escalante, Ricardo, Yoko Yamada, David A. Cotter, Leandro Sastre, & Masazumi Sameshima. (2003). The MADS-box transcription factor SrfA is required for actin cytoskeleton organization and spore coat stability during Dictyostelium sporulation. Mechanisms of Development. 121(1). 51–56. 19 indexed citations
20.
Escalante, Ricardo & William F. Loomis. (1995). Whole-Mount in Situ Hybridization of Cell-Type-Specific mRNAs in Dictyostelium. Developmental Biology. 171(1). 262–266. 54 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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