María Sanchez-Ronco

28 total papers · 7.2k total citations
15 papers, 1.1k citations indexed

About

María Sanchez-Ronco is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, María Sanchez-Ronco has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Oncology. Recurrent topics in María Sanchez-Ronco's work include Lung Cancer Treatments and Mutations (9 papers), Cancer Genomics and Diagnostics (4 papers) and Lung Cancer Research Studies (4 papers). María Sanchez-Ronco is often cited by papers focused on Lung Cancer Treatments and Mutations (9 papers), Cancer Genomics and Diagnostics (4 papers) and Lung Cancer Research Studies (4 papers). María Sanchez-Ronco collaborates with scholars based in Spain, United States and France. María Sanchez-Ronco's co-authors include José Javier Sánchez, Rafael Rosell, Miquel Tarón, Bartomeu Massutí, José Miguel Sánchez, Enriqueta Felip, Cristina Queralt, Teresa Morán, Carlos Camps and Vicente Alberola and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Cancer Research.

In The Last Decade

María Sanchez-Ronco

15 papers receiving 1.1k 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 Sanchez-Ronco 732 608 508 333 89 15 1.1k
Zehang Jiang 476 0.7× 712 1.2× 519 1.0× 387 1.2× 119 1.3× 16 1.3k
Annick Haller 613 0.8× 518 0.9× 477 0.9× 291 0.9× 62 0.7× 22 1.1k
Simona Salvatore 768 1.0× 658 1.1× 430 0.8× 292 0.9× 108 1.2× 19 1.2k
Fabio Barassi 899 1.2× 850 1.4× 710 1.4× 376 1.1× 88 1.0× 12 1.5k
D Bigini 367 0.5× 455 0.7× 479 0.9× 244 0.7× 74 0.8× 17 945
V. Alberola 1.1k 1.5× 1.0k 1.7× 404 0.8× 212 0.6× 88 1.0× 21 1.5k
Navonil De Sarkar 513 0.7× 393 0.6× 406 0.8× 368 1.1× 51 0.6× 26 923
Siegina G. Evers 544 0.7× 598 1.0× 615 1.2× 330 1.0× 129 1.4× 16 1.2k
Emma Donald 799 1.1× 716 1.2× 339 0.7× 483 1.5× 103 1.2× 11 1.1k
Vincent O’Neill 621 0.8× 895 1.5× 480 0.9× 305 0.9× 61 0.7× 28 1.2k

Countries citing papers authored by María Sanchez-Ronco

Since Specialization
Citations

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

Fields of papers citing papers by María Sanchez-Ronco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Sanchez-Ronco. 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 Sanchez-Ronco. The network helps show where María Sanchez-Ronco may publish in the future.

Co-authorship network of co-authors of María Sanchez-Ronco

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