Mercedes de la Torre

71 papers and 1.6k indexed citations i.

About

Mercedes de la Torre is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Epidemiology. According to data from OpenAlex, Mercedes de la Torre has authored 71 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Pulmonary and Respiratory Medicine, 33 papers in Surgery and 11 papers in Epidemiology. Recurrent topics in Mercedes de la Torre’s work include Lung Cancer Diagnosis and Treatment (28 papers), Pleural and Pulmonary Diseases (20 papers) and Tracheal and airway disorders (17 papers). Mercedes de la Torre is often cited by papers focused on Lung Cancer Diagnosis and Treatment (28 papers), Pleural and Pulmonary Diseases (20 papers) and Tracheal and airway disorders (17 papers). Mercedes de la Torre collaborates with scholars based in Spain, United Kingdom and Italy. Mercedes de la Torre's co-authors include Diego González-Rivas, Ricardo Fernández, Eva Fieira, Lucía Méndez, María Delgado, Marina Paradela, María Delgado, Carlos Velasco, Borja Gómez and Santiago Mintegi and has published in prestigious journals such as PEDIATRICS, Social Forces and Transplantation.

In The Last Decade

Co-authorship network of co-authors of Mercedes de la Torre i

Fields of papers citing papers by Mercedes de la Torre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mercedes de la Torre. 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 Mercedes de la Torre. The network helps show where Mercedes de la Torre may publish in the future.

Countries citing papers authored by Mercedes de la Torre

Since Specialization
Citations

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

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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2025