Patricia de la Riva

32 papers and 436 indexed citations i.

About

Patricia de la Riva is a scholar working on Neurology, Epidemiology and Surgery. According to data from OpenAlex, Patricia de la Riva has authored 32 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 9 papers in Epidemiology and 8 papers in Surgery. Recurrent topics in Patricia de la Riva’s work include Neurological disorders and treatments (6 papers), Cerebrovascular and Carotid Artery Diseases (5 papers) and Acute Ischemic Stroke Management (5 papers). Patricia de la Riva is often cited by papers focused on Neurological disorders and treatments (6 papers), Cerebrovascular and Carotid Artery Diseases (5 papers) and Acute Ischemic Stroke Management (5 papers). Patricia de la Riva collaborates with scholars based in Spain, United States and Brazil. Patricia de la Riva's co-authors include Daniel Weintraub, Sharon X. Xie, Kara Smith, Ângelo Rafael Carpinelli, María Rodríguez‐Oroz, J.F. Martí-Massó, Belén Gago, Manuel Delgado‐Alvarado, Haritz Jiménez‐Urbieta and Maurizio Bevilacqua and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Patricia de la Riva i

Fields of papers citing papers by Patricia de la Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Patricia de la Riva

Since Specialization
Citations

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