Roberto Villaseñor

33 total papers · 1.6k total citations
19 papers, 976 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 976 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, Josephine Lampe, Markus Schwaninger, Laurence Ozmen, Fiona Grüninger, Per‐Ola Freskgård, Hansruedi Loetscher and Hidenori Nonaka and has published in prestigious journals such as Nature Communications, Current Biology and Scientific Reports.

In The Last Decade

Roberto Villaseñor

18 papers receiving 960 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Roberto Villaseñor 549 221 210 115 95 19 976
Yumin Oh 484 0.9× 136 0.6× 113 0.5× 78 0.7× 127 1.3× 29 1.2k
Emily Steed 678 1.2× 306 1.4× 272 1.3× 64 0.6× 91 1.0× 16 1.1k
Zrinka Marijanovic 694 1.3× 172 0.8× 184 0.9× 119 1.0× 191 2.0× 13 1.1k
Caroline Sodja 498 0.9× 58 0.3× 190 0.9× 106 0.9× 85 0.9× 30 892
R. Neßler 529 1.0× 99 0.4× 376 1.8× 132 1.1× 89 0.9× 21 1.1k
Laralynne Przybyla 559 1.0× 383 1.7× 109 0.5× 155 1.3× 111 1.2× 20 1.2k
Hiroko Kawaguchi 464 0.8× 85 0.4× 357 1.7× 251 2.2× 52 0.5× 19 980
Toshiyuki Kaidoh 632 1.2× 104 0.5× 77 0.4× 250 2.2× 39 0.4× 29 1.1k
Qing Lü 512 0.9× 244 1.1× 78 0.4× 78 0.7× 41 0.4× 50 898
Gongda Xue 703 1.3× 134 0.6× 170 0.8× 359 3.1× 48 0.5× 16 1.2k

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

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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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