Silvia Mateo‐Lozano

86 total papers · 1.3k total citations
27 papers, 927 citations indexed

About

Silvia Mateo‐Lozano is a scholar working on Molecular Biology, Cell Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Silvia Mateo‐Lozano has authored 27 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Cell Biology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Silvia Mateo‐Lozano's work include Sarcoma Diagnosis and Treatment (9 papers), Caveolin-1 and cellular processes (7 papers) and Neuroblastoma Research and Treatments (4 papers). Silvia Mateo‐Lozano is often cited by papers focused on Sarcoma Diagnosis and Treatment (9 papers), Caveolin-1 and cellular processes (7 papers) and Neuroblastoma Research and Treatments (4 papers). Silvia Mateo‐Lozano collaborates with scholars based in Spain, United States and Australia. Silvia Mateo‐Lozano's co-authors include Òscar M. Tirado, Vicente Notario, Laura Lagares‐Tena, Miguel Sáinz‐Jaspeado, Joaquín Villar, Xavier García del Muro, Luis E. Dettin, Soledad Gallego, Jozef Ban and Anna Llort and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

Silvia Mateo‐Lozano

25 papers receiving 923 citations

Author Peers

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

Author Last Decade Papers Cites
Silvia Mateo‐Lozano 511 308 263 216 122 27 927
Xiaoming Shen 532 1.0× 250 0.8× 476 1.8× 124 0.6× 182 1.5× 34 1.2k
Adriana Estrada‐Bernal 603 1.2× 463 1.5× 438 1.7× 106 0.5× 243 2.0× 30 1.1k
Sean Caenepeel 813 1.6× 138 0.4× 431 1.6× 108 0.5× 143 1.2× 22 1.2k
Julie C. Lougheed 571 1.1× 167 0.5× 257 1.0× 78 0.4× 109 0.9× 16 993
Daniel T. Dransfield 776 1.5× 92 0.3× 282 1.1× 195 0.9× 224 1.8× 46 1.2k
Hannie Sietsma 750 1.5× 171 0.6× 282 1.1× 132 0.6× 109 0.9× 22 1.0k
Christopher J. Strock 412 0.8× 100 0.3× 336 1.3× 91 0.4× 96 0.8× 24 848
Elizabeth A. Kosmacek 529 1.0× 112 0.4× 245 0.9× 176 0.8× 169 1.4× 43 986
Rana Anjum 863 1.7× 236 0.8× 258 1.0× 116 0.5× 85 0.7× 20 1.2k
Hayriye V. Erkizan 652 1.3× 411 1.3× 233 0.9× 62 0.3× 114 0.9× 20 975

Countries citing papers authored by Silvia Mateo‐Lozano

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Mateo‐Lozano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Mateo‐Lozano. 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 Silvia Mateo‐Lozano. The network helps show where Silvia Mateo‐Lozano may publish in the future.

Co-authorship network of co-authors of Silvia Mateo‐Lozano

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Mateo‐Lozano. A scholar is included among the top collaborators of Silvia Mateo‐Lozano 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 Silvia Mateo‐Lozano. Silvia Mateo‐Lozano 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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