Rubén Mota

33 total papers · 919 total citations
22 papers, 737 citations indexed

About

Rubén Mota is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Rubén Mota has authored 22 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Surgery. Recurrent topics in Rubén Mota's work include PARP inhibition in cancer therapy (4 papers), Immune Response and Inflammation (4 papers) and Cardiac Imaging and Diagnostics (4 papers). Rubén Mota is often cited by papers focused on PARP inhibition in cancer therapy (4 papers), Immune Response and Inflammation (4 papers) and Cardiac Imaging and Diagnostics (4 papers). Rubén Mota collaborates with scholars based in Spain, United States and Denmark. Rubén Mota's co-authors include José Yélamos, Pascual Parrilla, David Hernández‐Espinosa, Francisco Lozano, Maria‐Rosa Sarrias, Cristina Casals, Rafael Fenutría, Jorge Vera, Luis Saenz and Antonia Miñano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

In The Last Decade

Rubén Mota

21 papers receiving 726 citations

Author Peers

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

Author Last Decade Papers Cites
Rubén Mota 263 258 224 101 101 22 737
Kunkel Sl 186 0.7× 353 1.4× 146 0.7× 85 0.8× 130 1.3× 16 903
Masato Moriguchi 281 1.1× 352 1.4× 147 0.7× 119 1.2× 132 1.3× 31 893
Lakshmanan Annamalai 227 0.9× 284 1.1× 257 1.1× 76 0.8× 61 0.6× 26 791
Zahra Ahmadi 145 0.6× 217 0.8× 140 0.6× 66 0.7× 74 0.7× 32 664
Jooho Chung 322 1.2× 297 1.2× 123 0.5× 78 0.8× 99 1.0× 23 852
Takaaki Ito 257 1.0× 246 1.0× 98 0.4× 61 0.6× 124 1.2× 18 884
Valentina Bevelacqua 258 1.0× 268 1.0× 228 1.0× 80 0.8× 91 0.9× 22 742
Erik Lindh 251 1.0× 174 0.7× 195 0.9× 127 1.3× 90 0.9× 23 902
Mark A. Pilkinton 293 1.1× 253 1.0× 169 0.8× 65 0.6× 127 1.3× 23 827
Jocelyn Roy 224 0.9× 320 1.2× 104 0.5× 77 0.8× 84 0.8× 21 815

Countries citing papers authored by Rubén Mota

Since Specialization
Citations

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

Fields of papers citing papers by Rubén Mota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rubén Mota

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