Miriam Rábano

21 total papers · 933 total citations
17 papers, 681 citations indexed

About

Miriam Rábano is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Miriam Rábano has authored 17 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Miriam Rábano's work include Cancer Cells and Metastasis (6 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Cancer-related gene regulation (2 papers). Miriam Rábano is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Cancer-related gene regulation (2 papers). Miriam Rábano collaborates with scholars based in Spain, United Kingdom and France. Miriam Rábano's co-authors include María dM Vivanco, Giacomo Domenici, Ignacio Zabalza, Robert Kypta, José Antonio López-Ruiz, Bruno M. Simões, Valentine Comaills, Oihana Iriondo, Marco Piva and Leyre Brizuela and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and Oncogene.

In The Last Decade

Miriam Rábano

15 papers receiving 674 citations

Author Peers

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

Author Last Decade Papers Cites
Miriam Rábano 459 263 172 71 63 17 681
Carrie R. Graveel 417 0.9× 201 0.8× 110 0.6× 53 0.7× 86 1.4× 21 632
Anna Tamburrino 352 0.8× 269 1.0× 155 0.9× 48 0.7× 61 1.0× 19 713
Irene Chicote 521 1.1× 190 0.7× 124 0.7× 69 1.0× 69 1.1× 13 727
Valérie Pawlowski 401 0.9× 213 0.8× 98 0.6× 85 1.2× 56 0.9× 17 748
Jens Henrik Norum 474 1.0× 293 1.1× 156 0.9× 48 0.7× 54 0.9× 20 724
Giuseppina D’Andrilli 483 1.1× 163 0.6× 123 0.7× 93 1.3× 42 0.7× 19 711
Lora W. Forman 520 1.1× 158 0.6× 114 0.7× 67 0.9× 50 0.8× 19 741
Elisa Cattaneo 402 0.9× 172 0.7× 132 0.8× 81 1.1× 65 1.0× 28 655
Marco Pfeifer 408 0.9× 227 0.9× 158 0.9× 35 0.5× 65 1.0× 20 781
Kah Suan Lim 532 1.2× 155 0.6× 168 1.0× 44 0.6× 42 0.7× 14 746

Countries citing papers authored by Miriam Rábano

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Rábano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Rábano

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