Raquel Ríos

67 total papers · 1.4k total citations
20 papers, 211 citations indexed

About

Raquel Ríos is a scholar working on Hematology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Raquel Ríos has authored 20 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 6 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Raquel Ríos's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Cell Adhesion Molecules Research (3 papers). Raquel Ríos is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Cell Adhesion Molecules Research (3 papers). Raquel Ríos collaborates with scholars based in United States, Spain and Brazil. Raquel Ríos's co-authors include Jeffrey J. Molldrem, Eric Wieder, Sergio Giralt, Richard E. Champlin, Elihu H. Estey, Peter F. Thall, Krishna V. Komanduri, M. Lima, Jörge E. Cortes and Daniel Couriel and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Raquel Ríos

16 papers receiving 207 citations

Author Peers

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

Author Last Decade Papers Cites
Raquel Ríos 101 93 90 46 45 20 211
Hiroto Sakoda 128 1.3× 66 0.7× 80 0.9× 44 1.0× 29 0.6× 27 243
Sébastian Wittnebel 116 1.1× 80 0.9× 136 1.5× 34 0.7× 37 0.8× 19 259
Hirotsugu Ariizumi 78 0.8× 59 0.6× 155 1.7× 34 0.7× 24 0.5× 25 242
Guy Cantin 48 0.5× 160 1.7× 97 1.1× 29 0.6× 79 1.8× 23 277
Robert Greiner 91 0.9× 64 0.7× 33 0.4× 27 0.6× 46 1.0× 22 213
Manfred Ahlgrimm 50 0.5× 49 0.5× 89 1.0× 75 1.6× 56 1.2× 17 269
Elsa Poullot 68 0.7× 29 0.3× 84 0.9× 45 1.0× 49 1.1× 26 224
Chang‐Lin Yu 51 0.5× 124 1.3× 53 0.6× 38 0.8× 35 0.8× 18 201
G Brittinger 61 0.6× 37 0.4× 81 0.9× 28 0.6× 66 1.5× 22 251
Claudia Minotto 57 0.6× 92 1.0× 62 0.7× 56 1.2× 122 2.7× 14 251

Countries citing papers authored by Raquel Ríos

Since Specialization
Citations

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

Fields of papers citing papers by Raquel Ríos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raquel Ríos

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