María Sánchez‐Aragó

36 total papers · 2.0k total citations
31 papers, 1.7k citations indexed

About

María Sánchez‐Aragó is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, María Sánchez‐Aragó has authored 31 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in María Sánchez‐Aragó's work include Mitochondrial Function and Pathology (16 papers), ATP Synthase and ATPases Research (16 papers) and Cancer, Hypoxia, and Metabolism (15 papers). María Sánchez‐Aragó is often cited by papers focused on Mitochondrial Function and Pathology (16 papers), ATP Synthase and ATPases Research (16 papers) and Cancer, Hypoxia, and Metabolism (15 papers). María Sánchez‐Aragó collaborates with scholars based in Spain, Canada and Switzerland. María Sánchez‐Aragó's co-authors include José M. Cuezva, Laura Sánchez-Cenizo, Laura Formentini, Álvaro D. Ortega, Marcos Aldea, Margarita Chamorro, Inmaculada Martínez‐Reyes, Javier García‐Bermúdez, Imke M. Willers and Fulvio Santacatterina and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Molecular Cell.

In The Last Decade

María Sánchez‐Aragó

30 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
María Sánchez‐Aragó 1.3k 704 156 119 101 31 1.7k
Christiane Klec 961 0.7× 472 0.7× 144 0.9× 97 0.8× 104 1.0× 34 1.3k
Ramon C. Sun 1.1k 0.8× 619 0.9× 326 2.1× 125 1.1× 111 1.1× 66 1.7k
José A. Campos‐Sandoval 1.2k 0.9× 925 1.3× 148 0.9× 258 2.2× 103 1.0× 42 1.9k
Yanhua Zheng 1.2k 0.9× 634 0.9× 102 0.7× 231 1.9× 99 1.0× 29 1.7k
Sho Kobayashi 694 0.5× 427 0.6× 105 0.7× 122 1.0× 81 0.8× 40 1.3k
Jibin Li 1.1k 0.8× 688 1.0× 117 0.8× 140 1.2× 201 2.0× 31 1.5k
Laura Hulea 1.6k 1.2× 401 0.6× 147 0.9× 212 1.8× 176 1.7× 21 2.0k
Susana R�os 959 0.7× 608 0.9× 251 1.6× 193 1.6× 131 1.3× 39 1.9k
Joseph Murdaca 889 0.7× 464 0.7× 283 1.8× 133 1.1× 88 0.9× 24 1.5k
Hanlin Gao 1.1k 0.8× 491 0.7× 298 1.9× 144 1.2× 123 1.2× 46 1.7k

Countries citing papers authored by María Sánchez‐Aragó

Since Specialization
Citations

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

Fields of papers citing papers by María Sánchez‐Aragó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Sánchez‐Aragó. 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 María Sánchez‐Aragó. The network helps show where María Sánchez‐Aragó may publish in the future.

Co-authorship network of co-authors of María Sánchez‐Aragó

This figure shows the co-authorship network connecting the top 25 collaborators of María Sánchez‐Aragó. A scholar is included among the top collaborators of María Sánchez‐Aragó 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 María Sánchez‐Aragó. María Sánchez‐Aragó 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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