Daniela Araya

9 papers and 344 indexed citations i.

About

Daniela Araya is a scholar working on Endocrinology, Applied Mathematics and Infectious Diseases. According to data from OpenAlex, Daniela Araya has authored 9 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, 3 papers in Applied Mathematics and 3 papers in Infectious Diseases. Recurrent topics in Daniela Araya’s work include Pathogenesis and Virulence of Escherichia coli (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Nonlinear Differential Equations Analysis (3 papers). Daniela Araya is often cited by papers focused on Pathogenesis and Virulence of Escherichia coli (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Nonlinear Differential Equations Analysis (3 papers). Daniela Araya collaborates with scholars based in Chile, United States and The Netherlands. Daniela Araya's co-authors include Carlos Lizama, Roberto Vidal, Marjorie De la Fuente, Marcela A. Hermoso, David Díaz-Jiménez, María‐Julieta González, Luigi Franchi, Rodrigo Quera, Francisco López-Köstner and Douglas T. Golenbock and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Infection and Immunity.

In The Last Decade

Co-authorship network of co-authors of Daniela Araya i

Fields of papers citing papers by Daniela Araya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Araya. 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 Daniela Araya. The network helps show where Daniela Araya may publish in the future.

Countries citing papers authored by Daniela Araya

Since Specialization
Citations

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