Roberto Villaseñor

1.7k total citations
19 papers, 984 citations indexed

About

Roberto Villaseñor is a scholar working on Cell Biology, Molecular Biology and Neurology. According to data from OpenAlex, Roberto Villaseñor has authored 19 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cell Biology, 11 papers in Molecular Biology and 8 papers in Neurology. Recurrent topics in Roberto Villaseñor's work include Barrier Structure and Function Studies (8 papers), Cellular transport and secretion (8 papers) and Caveolin-1 and cellular processes (7 papers). Roberto Villaseñor is often cited by papers focused on Barrier Structure and Function Studies (8 papers), Cellular transport and secretion (8 papers) and Caveolin-1 and cellular processes (7 papers). Roberto Villaseñor collaborates with scholars based in Switzerland, Germany and France. Roberto Villaseñor's co-authors include Marino Zerial, Ludovic Collin, Yannis Kalaidzidis, Markus Schwaninger, Josephine Lampe, Fiona Grüninger, Hansruedi Loetscher, Laurence Ozmen, Per‐Ola Freskgård and David B. Thompson and has published in prestigious journals such as Nature Communications, Current Biology and Scientific Reports.

In The Last Decade

Roberto Villaseñor

18 papers receiving 968 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Villaseñor Switzerland 13 553 223 215 116 98 19 984
Zrinka Marijanovic France 10 695 1.3× 173 0.8× 184 0.9× 119 1.0× 191 1.9× 13 1.1k
Jianmin Zhang China 20 559 1.0× 98 0.4× 91 0.4× 92 0.8× 59 0.6× 55 1.2k
Qing Lü China 19 516 0.9× 245 1.1× 78 0.4× 79 0.7× 41 0.4× 50 906
Aparna Lakkaraju United States 19 1.3k 2.3× 265 1.2× 109 0.5× 55 0.5× 119 1.2× 34 1.8k
Christoph Patsch Switzerland 14 910 1.6× 58 0.3× 154 0.7× 103 0.9× 68 0.7× 29 1.2k
Pedro Henrique Dias Moura Prazeres Brazil 21 324 0.6× 56 0.3× 123 0.6× 143 1.2× 50 0.5× 34 832
Carrie A. Ambler United Kingdom 16 755 1.4× 280 1.3× 40 0.2× 109 0.9× 53 0.5× 26 1.3k
Rouel S. Roque United States 21 865 1.6× 97 0.4× 254 1.2× 65 0.6× 61 0.6× 40 1.3k
Amanda G. Ammer United States 17 502 0.9× 376 1.7× 57 0.3× 203 1.8× 34 0.3× 27 1.0k

Countries citing papers authored by Roberto Villaseñor

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Villaseñor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Villaseñor

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

All Works

19 of 19 papers shown
1.
Häger, Charlotte K., Jean‐Philippe Fortin, Roland Schmucki, et al.. (2025). A CRISPR/Cas9 screen reveals proteins at the endosome-Golgi interface that modulate cellular anti-sense oligonucleotide activity. Nature Communications. 16(1). 5378–5378.
2.
Zanini, Chiara, et al.. (2024). Advanced tissue technologies of blood-brain barrier organoids as high throughput toxicity readouts in drug development. Heliyon. 11(1). e40813–e40813. 2 indexed citations
3.
Bichsel, Colette A., et al.. (2022). Microphysiological Neurovascular Barriers to Model the Inner Retinal Microvasculature. Journal of Personalized Medicine. 12(2). 148–148. 12 indexed citations
4.
Kassianidou, Elena, et al.. (2022). High Throughput Blood-brain Barrier Organoid Generation and Assessment of Receptor-Mediated Antibody Transcytosis. BIO-PROTOCOL. 12(8). e4399–e4399. 7 indexed citations
5.
Brandenberg, Nathalie, Sylke Hoehnel, Camilla Ceroni, et al.. (2021). Investigating receptor-mediated antibody transcytosis using blood–brain barrier organoid arrays. Fluids and Barriers of the CNS. 18(1). 43–43. 38 indexed citations
6.
Schadt, Simone, Simon Hauri, Roland F. Staack, et al.. (2019). Are Biotransformation Studies of Therapeutic Proteins Needed? Scientific Considerations and Technical Challenges. Drug Metabolism and Disposition. 47(12). 1443–1456. 32 indexed citations
7.
Villaseñor, Roberto, Josephine Lampe, Markus Schwaninger, & Ludovic Collin. (2018). Intracellular transport and regulation of transcytosis across the blood–brain barrier. Cellular and Molecular Life Sciences. 76(6). 1081–1092. 150 indexed citations
8.
Villaseñor, Roberto & Ludovic Collin. (2017). High-resolution Confocal Imaging of the Blood-brain Barrier: Imaging, 3D Reconstruction, and Quantification of Transcytosis. Journal of Visualized Experiments. 7 indexed citations
9.
Villaseñor, Roberto, Michael Schilling, Janani Sundaresan, Yves Lutz, & Ludovic Collin. (2017). Sorting Tubules Regulate Blood-Brain Barrier Transcytosis. Cell Reports. 21(11). 3256–3270. 71 indexed citations
10.
Villaseñor, Roberto & Ludovic Collin. (2017). High-resolution Confocal Imaging of the Blood-brain Barrier: Imaging, 3D Reconstruction, and Quantification of Transcytosis. Journal of Visualized Experiments. 3 indexed citations
11.
Villaseñor, Roberto, Laurence Ozmen, Christof Kugler, et al.. (2017). Region-specific permeability of the blood–brain barrier upon pericyte loss. Journal of Cerebral Blood Flow & Metabolism. 37(12). 3683–3694. 92 indexed citations
12.
Villaseñor, Roberto, Laurence Ozmen, Nadia Messaddeq, et al.. (2016). Trafficking of Endogenous Immunoglobulins by Endothelial Cells at the Blood-Brain Barrier. Scientific Reports. 6(1). 25658–25658. 67 indexed citations
13.
Villaseñor, Roberto, Yannis Kalaidzidis, & Marino Zerial. (2016). Signal processing by the endosomal system. Current Opinion in Cell Biology. 39. 53–60. 123 indexed citations
14.
Moisan, Annie, Marcel Gubler, Jitao David Zhang, et al.. (2016). Inhibition of EGF Uptake by Nephrotoxic Antisense Drugs In Vitro and Implications for Preclinical Safety Profiling. Molecular Therapy — Nucleic Acids. 6. 89–105. 24 indexed citations
15.
Villaseñor, Roberto, et al.. (2015). Regulation of EGFR signal transduction by analogue-to-digital conversion in endosomes. eLife. 4. 86 indexed citations
16.
Schmees, Christian, Roberto Villaseñor, Wei Zheng, et al.. (2012). Macropinocytosis of the PDGF β-receptor promotes fibroblast transformation by H-RasG12V. Molecular Biology of the Cell. 23(13). 2571–2582. 41 indexed citations
17.
Thompson, David B., Roberto Villaseñor, Brent M. Dorr, Marino Zerial, & David R. Liu. (2012). Cellular Uptake Mechanisms and Endosomal Trafficking of Supercharged Proteins. Chemistry & Biology. 19(7). 831–843. 87 indexed citations
18.
Forêt, Lionel, Roberto Villaseñor, Claudio Collinet, et al.. (2012). A General Theoretical Framework to Infer Endosomal Network Dynamics from Quantitative Image Analysis. Current Biology. 22(15). 1381–1390. 57 indexed citations
19.
Cancino-Rodezno, Angeles, Roberto Villaseñor, Sabino Pacheco, et al.. (2009). The mitogen-activated protein kinase p38 is involved in insect defense against Cry toxins from Bacillus thuringiensis. Insect Biochemistry and Molecular Biology. 40(1). 58–63. 85 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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