Pedro Torres‐Ayuso

101 total papers · 804 total citations
20 papers, 399 citations indexed

About

Pedro Torres‐Ayuso is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Pedro Torres‐Ayuso has authored 20 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Immunology. Recurrent topics in Pedro Torres‐Ayuso's work include PI3K/AKT/mTOR signaling in cancer (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and T-cell and B-cell Immunology (3 papers). Pedro Torres‐Ayuso is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and T-cell and B-cell Immunology (3 papers). Pedro Torres‐Ayuso collaborates with scholars based in United States, Spain and United Kingdom. Pedro Torres‐Ayuso's co-authors include Isabel Mérida, Antonia Ávila‐Flores, John Brognard, María Tello‐Lafoz, Katherine M. Nyswaner, Jorge Martı́n-Pérez, Manuel Daza-Martín, Severine Gharbi, Esther Rincón and Juan Pablo Albar and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Applied and Environmental Microbiology.

In The Last Decade

Pedro Torres‐Ayuso

20 papers receiving 396 citations

Author Peers

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

Author Last Decade Papers Cites
Pedro Torres‐Ayuso 262 83 74 74 73 20 399
Yasuyuki Minakawa 291 1.1× 54 0.7× 111 1.5× 123 1.7× 74 1.0× 16 441
Sandra Bien-Möller 234 0.9× 47 0.6× 106 1.4× 87 1.2× 52 0.7× 19 400
Zhengfeng Wang 210 0.8× 41 0.5× 89 1.2× 82 1.1× 76 1.0× 17 384
Qiuju Fan 272 1.0× 61 0.7× 65 0.9× 102 1.4× 32 0.4× 17 375
Chong Teik Tan 288 1.1× 34 0.4× 62 0.8× 62 0.8× 79 1.1× 15 413
Hee Yeon Kim 283 1.1× 28 0.3× 55 0.7× 121 1.6× 64 0.9× 22 424
Carmen Oi Ning Leung 258 1.0× 52 0.6× 86 1.2× 96 1.3× 32 0.4× 16 396
Alicia Ballester 255 1.0× 101 1.2× 96 1.3× 77 1.0× 32 0.4× 17 423
Seo Hee Nam 250 1.0× 78 0.9× 121 1.6× 79 1.1× 101 1.4× 24 435
T Seguchi 262 1.0× 85 1.0× 51 0.7× 66 0.9× 75 1.0× 16 418

Countries citing papers authored by Pedro Torres‐Ayuso

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Torres‐Ayuso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro Torres‐Ayuso. 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 Pedro Torres‐Ayuso. The network helps show where Pedro Torres‐Ayuso may publish in the future.

Co-authorship network of co-authors of Pedro Torres‐Ayuso

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Torres‐Ayuso. A scholar is included among the top collaborators of Pedro Torres‐Ayuso 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 Pedro Torres‐Ayuso. Pedro Torres‐Ayuso 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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