Juan Bayo

66 total papers · 1.7k total citations
42 papers, 1.1k citations indexed

About

Juan Bayo is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Juan Bayo has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Immunology and 10 papers in Oncology. Recurrent topics in Juan Bayo's work include Cancer Cells and Metastasis (7 papers), Mesenchymal stem cell research (7 papers) and Liver physiology and pathology (6 papers). Juan Bayo is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Mesenchymal stem cell research (7 papers) and Liver physiology and pathology (6 papers). Juan Bayo collaborates with scholars based in Argentina, United States and Spain. Juan Bayo's co-authors include Guillermo Mazzolini, Mariana Garcı́a, Esteban Fiore, Mariana Malvicini, Catalina Atorrasagasti, Jorge B. Aquino, Laura Alaniz, Flavia Piccioni, Manglio Rizzo and Elisabeth D. Martínez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Molecular Cell.

In The Last Decade

Juan Bayo

41 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Juan Bayo 580 208 205 177 166 42 1.1k
Mariana Malvicini 468 0.8× 224 1.1× 173 0.8× 216 1.2× 135 0.8× 39 1.0k
Satoko Nakada 469 0.8× 177 0.9× 160 0.8× 170 1.0× 102 0.6× 38 970
Catalina Atorrasagasti 471 0.8× 179 0.9× 143 0.7× 207 1.2× 118 0.7× 38 1.0k
Toshiya Tsuji 883 1.5× 256 1.2× 158 0.8× 171 1.0× 227 1.4× 44 1.2k
Peipei Guo 588 1.0× 192 0.9× 212 1.0× 122 0.7× 297 1.8× 30 1.3k
Emanuela Matteucci 518 0.9× 305 1.5× 216 1.1× 133 0.8× 241 1.5× 31 1.2k
Jae‐Sung Ryu 545 0.9× 98 0.5× 102 0.5× 108 0.6× 276 1.7× 50 1.2k
Luciana L. Almada 749 1.3× 336 1.6× 157 0.8× 67 0.4× 149 0.9× 45 1.1k
Péter Tátrai 455 0.8× 214 1.0× 156 0.8× 284 1.6× 114 0.7× 37 947
Maria Alfonsina Desiderio 555 1.0× 235 1.1× 188 0.9× 130 0.7× 231 1.4× 34 1.1k

Countries citing papers authored by Juan Bayo

Since Specialization
Citations

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

Fields of papers citing papers by Juan Bayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Bayo

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Bayo. A scholar is included among the top collaborators of Juan Bayo 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 Bayo. Juan Bayo 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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