Jorge Larios

931 total citations · 1 hit paper
8 papers, 672 citations indexed

About

Jorge Larios is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, Jorge Larios has authored 8 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 5 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Jorge Larios's work include Cellular transport and secretion (6 papers), Lipid Membrane Structure and Behavior (3 papers) and Force Microscopy Techniques and Applications (1 paper). Jorge Larios is often cited by papers focused on Cellular transport and secretion (6 papers), Lipid Membrane Structure and Behavior (3 papers) and Force Microscopy Techniques and Applications (1 paper). Jorge Larios collaborates with scholars based in Switzerland, Chile and Austria. Jorge Larios's co-authors include Aurélien Roux, Jean Grüenberg, Vincent Mercier, Beata E. Mierzwa, Thomas Müller‐Reichert, Daniel W. Gerlich, Nicolas Chiaruttini, Joachim Moser von Filseck, Simon Scheuring and Lorena Redondo‐Morata and has published in prestigious journals such as The Journal of Cell Biology, Nature Cell Biology and EMBO Reports.

In The Last Decade

Jorge Larios

8 papers receiving 668 citations

Hit Papers

ALIX- and ESCRT-III–dependent sorting of tetraspanins to ... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge Larios Switzerland 7 516 236 181 77 72 8 672
Stine Lauritzen Sønder Denmark 11 515 1.0× 238 1.0× 103 0.6× 51 0.7× 82 1.1× 17 710
Xiaoxin Zhao China 5 476 0.9× 116 0.5× 199 1.1× 26 0.3× 87 1.2× 6 617
Yvan Campos United States 15 479 0.9× 176 0.7× 88 0.5× 163 2.1× 82 1.1× 25 733
Ajit Tiwari United States 14 404 0.8× 284 1.2× 45 0.2× 75 1.0× 46 0.6× 23 622
Leila Nahidiazar Netherlands 11 534 1.0× 292 1.2× 47 0.3× 55 0.7× 37 0.5× 11 882
Jennifer H. Lumb United Kingdom 9 332 0.6× 167 0.7× 97 0.5× 47 0.6× 67 0.9× 10 568
Nathan E. Grega‐Larson United States 12 795 1.5× 235 1.0× 390 2.2× 35 0.5× 110 1.5× 13 1.0k
Sandra Pankow United States 14 432 0.8× 199 0.8× 47 0.3× 71 0.9× 55 0.8× 20 784
Masataka Umitsu Japan 10 512 1.0× 198 0.8× 47 0.3× 40 0.5× 71 1.0× 14 768

Countries citing papers authored by Jorge Larios

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Larios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Larios

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

All Works

8 of 8 papers shown
1.
Larios, Jorge, Vincent Mercier, Aurélien Roux, & Jean Grüenberg. (2020). ALIX- and ESCRT-III–dependent sorting of tetraspanins to exosomes. The Journal of Cell Biology. 219(3). 314 indexed citations breakdown →
2.
Mercier, Vincent, Jorge Larios, Guillaume Molinard, et al.. (2020). Endosomal membrane tension regulates ESCRT-III-dependent intra-lumenal vesicle formation. Nature Cell Biology. 22(8). 947–959. 80 indexed citations
3.
Mierzwa, Beata E., Nicolas Chiaruttini, Lorena Redondo‐Morata, et al.. (2017). Dynamic subunit turnover in ESCRT-III assemblies is regulated by Vps4 to mediate membrane remodelling during cytokinesis. Nature Cell Biology. 19(7). 787–798. 181 indexed citations
4.
Muriel, Olivia, Cameron C. Scott, Jorge Larios, Vincent Mercier, & Jean Grüenberg. (2017). <em>In Vitro</em> Polymerization of F-actin on Early Endosomes. Journal of Visualized Experiments. 3 indexed citations
5.
Scott, Cameron C., Stefania Vossio, Fabrizio Vacca, et al.. (2015). Wnt directs the endosomal flux of LDL ‐derived cholesterol and lipid droplet homeostasis. EMBO Reports. 16(6). 741–752. 38 indexed citations
6.
Larios, Jorge, et al.. (2014). Neurotrophins regulate ApoER2 proteolysis through activation of the Trk signaling pathway. BMC Neuroscience. 15(1). 108–108. 10 indexed citations
7.
Farfán, Pamela, Jiyeon Lee, Jorge Larios, et al.. (2013). A Sorting Nexin 17‐Binding Domain Within the LRP1 Cytoplasmic Tail Mediates Receptor Recycling Through the Basolateral Sorting Endosome. Traffic. 14(7). 823–838. 39 indexed citations
8.
Larios, Jorge & María‐Paz Marzolo. (2012). Novel aspects of the apolipoprotein-E receptor family: regulation and functional role of their proteolytic processing. Frontiers in Biology. 7(2). 113–143. 7 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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