Juan Villegas

1.4k total citations
38 papers, 1.1k citations indexed

About

Juan Villegas is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Juan Villegas has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Cell Biology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Juan Villegas's work include Microtubule and mitosis dynamics (10 papers), Ubiquitin and proteasome pathways (5 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Juan Villegas is often cited by papers focused on Microtubule and mitosis dynamics (10 papers), Ubiquitin and proteasome pathways (5 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Juan Villegas collaborates with scholars based in Spain, United States and Portugal. Juan Villegas's co-authors include Richard D. Broadwell, Mónica L. Fanárraga, Miguel Lafarga, Dámaso Crespo, Rafael Valiente, J. González, Lorena García‐Hevia, Juan Carlos Zabala, Phillip M. Friden and Constance Oliver and has published in prestigious journals such as ACS Nano, The Journal of Immunology and PLoS ONE.

In The Last Decade

Juan Villegas

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Villegas Spain 22 476 211 200 192 184 38 1.1k
Heechul Kim South Korea 20 442 0.9× 155 0.7× 128 0.6× 188 1.0× 149 0.8× 57 1.3k
Itsuki Ajioka Japan 20 587 1.2× 126 0.6× 141 0.7× 264 1.4× 106 0.6× 42 1.3k
Zhijian Zhang China 21 474 1.0× 129 0.6× 136 0.7× 247 1.3× 87 0.5× 68 1.4k
Mary‐Louise Rogers Australia 21 580 1.2× 213 1.0× 161 0.8× 230 1.2× 55 0.3× 38 1.3k
Yeon Kyung Lee South Korea 18 803 1.7× 375 1.8× 203 1.0× 170 0.9× 106 0.6× 47 1.5k
Karin Pernet‐Gallay France 24 1.2k 2.6× 145 0.7× 207 1.0× 233 1.2× 352 1.9× 42 2.3k
Masanari Takamiya Germany 24 575 1.2× 103 0.5× 109 0.5× 267 1.4× 324 1.8× 76 1.7k
Philipp Boehm‐Sturm Germany 20 273 0.6× 238 1.1× 242 1.2× 115 0.6× 63 0.3× 57 1.2k
Chandra S. Mayanil United States 18 620 1.3× 76 0.4× 111 0.6× 130 0.7× 104 0.6× 44 1.1k
Ke Zhan United States 10 676 1.4× 100 0.5× 80 0.4× 250 1.3× 180 1.0× 13 1.3k

Countries citing papers authored by Juan Villegas

Since Specialization
Citations

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

Fields of papers citing papers by Juan Villegas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Villegas

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Villegas. A scholar is included among the top collaborators of Juan Villegas 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 Juan Villegas. Juan Villegas 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.
García‐Hevia, Lorena, et al.. (2021). Targeting Nanomaterials to Head and Neck Cancer Cells Using a Fragment of the Shiga Toxin as a Potent Natural Ligand. Cancers. 13(19). 4920–4920. 13 indexed citations
2.
Iturrioz-Rodríguez, Nerea, J. González, Lorena García‐Hevia, et al.. (2018). Biodegradable multi-walled carbon nanotubes trigger anti-tumoral effects. Nanoscale. 10(23). 11013–11020. 24 indexed citations
3.
Iturrioz-Rodríguez, Nerea, Juan Villegas, Lorena García‐Hevia, et al.. (2017). Carbon nanotubes gathered onto silica particles lose their biomimetic properties with the cytoskeleton becoming biocompatible. International Journal of Nanomedicine. Volume 12. 6317–6328. 23 indexed citations
4.
García‐Hevia, Lorena, Rafael Valiente, Rosa Martín‐Rodríguez, et al.. (2016). Nano-ZnO leads to tubulin macrotube assembly and actin bundling, triggering cytoskeletal catastrophe and cell necrosis. Nanoscale. 8(21). 10963–10973. 57 indexed citations
5.
García‐Hevia, Lorena, Juan Villegas, Fidel Ángel Núñez, et al.. (2016). Multiwalled Carbon Nanotubes Inhibit Tumor Progression in a Mouse Model. Advanced Healthcare Materials. 5(9). 1080–1087. 34 indexed citations
6.
García‐Hevia, Lorena, et al.. (2014). Nanotube Interactions with Microtubules: Implications for Cancer Medicine. Nanomedicine. 9(10). 1581–1588. 23 indexed citations
7.
Villegas, Juan, et al.. (2013). Multiwalled Carbon Nanotubes Hinder Microglia Function Interfering with Cell Migration and Phagocytosis. Advanced Healthcare Materials. 3(3). 424–432. 42 indexed citations
8.
Fanárraga, Mónica L., Juan Villegas, João Gonçalves, et al.. (2012). Autoinhibition of TBCB regulates EB1-mediated microtubule dynamics. Cellular and Molecular Life Sciences. 70(2). 357–371. 16 indexed citations
9.
Fanárraga, Mónica L., et al.. (2010). Emerging roles for tubulin folding cofactors at the centrosome. Communicative & Integrative Biology. 3(4). 306–308. 4 indexed citations
10.
Fanárraga, Mónica L., et al.. (2008). Tubulin cofactor B regulates microtubule densities during microglia transition to the reactive states. Experimental Cell Research. 315(3). 535–541. 15 indexed citations
11.
Fanárraga, Mónica L., et al.. (2006). Tubulin cofactor B plays a role in the neuronal growth cone. Journal of Neurochemistry. 100(6). 1680–1687. 50 indexed citations
12.
López‐Hoyos, Marcos, Luis Buelta, Aki Kuroki, et al.. (2004). Inhibition of B Cell Death Causes the Development of an IgA Nephropathy in (New Zealand White × C57BL/6)F1- bcl-2 Transgenic Mice. The Journal of Immunology. 172(11). 7177–7185. 37 indexed citations
13.
Villegas, Juan, et al.. (1999). Accumulation of mercury in neurosecretory neurons of mice after long-term exposure to oral mercuric chloride. Neuroscience Letters. 271(2). 93–96. 7 indexed citations
14.
Villegas, Juan & Richard D. Broadwell. (1993). Transcytosis of protein through the mammalian cerebral epithelium and endothelium. II. Adsorptive transcytosis of WGA-HRP and the blood-brain and brain-blood barriers. Journal of Neurocytology. 22(2). 67–80. 79 indexed citations
15.
Broadwell, Richard D., et al.. (1992). Chapter 16: Intracerebral grafting of solid tissues and cell suspensions: the blood-brain barrier and host immune response. Progress in brain research. 91. 95–102. 17 indexed citations
16.
Broadwell, Richard D., Harry M. Charlton, Paul S. Ebert, et al.. (1991). Allografts of CNS tissue possess a blood-brain barrier. Experimental Neurology. 112(1). 1–28. 65 indexed citations
17.
Crespo, Dámaso, et al.. (1988). Nucleoli numbers and neuronal growth in supraoptic nucleus neurons during postnatal development in the rat. Developmental Brain Research. 44(1). 151–155. 35 indexed citations
18.
Lafarga, Miguel, et al.. (1983). The ?accessory body? of Cajal in the neuronal nucleus. Anatomy and Embryology. 166(1). 19–30. 56 indexed citations
19.
Lafarga, Miguel, et al.. (1980). Ciliated neurons in supraoptic nucleus of rat hypothalamus during neonatal period. Anatomy and Embryology. 160(1). 29–38. 17 indexed citations
20.
Villegas, Juan, et al.. (1968). [Generalized amebiasis in children. Report of 4 cases of cerebral amebiasis].. PubMed. 28(3). 193–220. 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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