María Aragón

70 total papers · 1.4k total citations
25 papers, 390 citations indexed

About

María Aragón is a scholar working on Epidemiology, Infectious Diseases and Oncology. According to data from OpenAlex, María Aragón has authored 25 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 6 papers in Infectious Diseases and 5 papers in Oncology. Recurrent topics in María Aragón's work include COVID-19 Clinical Research Studies (5 papers), Pneumonia and Respiratory Infections (5 papers) and COVID-19 and healthcare impacts (4 papers). María Aragón is often cited by papers focused on COVID-19 Clinical Research Studies (5 papers), Pneumonia and Respiratory Infections (5 papers) and COVID-19 and healthcare impacts (4 papers). María Aragón collaborates with scholars based in Spain, United Kingdom and Netherlands. María Aragón's co-authors include Talita Duarte‐Salles, Edward Burn, Martina Recalde, Daniel Prieto‐Alhambra, Andrea Pistillo, Sergio Fernández‐Bertolín, Elena Roel, Mència Benítez, Jordi Carrère and Eva M. Satué-Gracia and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

María Aragón

25 papers receiving 388 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 Aragón 138 128 65 49 40 25 390
Sergio Fernández‐Bertolín 125 0.9× 192 1.5× 66 1.0× 63 1.3× 43 1.1× 21 438
Pablo Méndez‐Hernández 95 0.7× 77 0.6× 44 0.7× 40 0.8× 42 1.1× 26 428
Alvaro Schwalb 234 1.7× 85 0.7× 43 0.7× 52 1.1× 17 0.4× 32 389
Thomas F. Osborne 187 1.4× 47 0.4× 45 0.7× 103 2.1× 48 1.2× 43 395
Fatemeh Pourmotahari 91 0.7× 49 0.4× 43 0.7× 46 0.9× 15 0.4× 16 398
Jinwook Hong 146 1.1× 79 0.6× 44 0.7× 83 1.7× 16 0.4× 19 351
Julia Andrieni 179 1.3× 56 0.4× 106 1.6× 58 1.2× 63 1.6× 16 410
Kunchok Dorjee 237 1.7× 109 0.9× 49 0.8× 65 1.3× 25 0.6× 14 369
Seyed Ahmad Seyed Alinaghi 244 1.8× 87 0.7× 53 0.8× 67 1.4× 37 0.9× 33 422
Minsun Kang 126 0.9× 52 0.4× 70 1.1× 92 1.9× 14 0.3× 24 398

Countries citing papers authored by María Aragón

Since Specialization
Citations

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

Fields of papers citing papers by María Aragón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Aragón

This figure shows the co-authorship network connecting the top 25 collaborators of María Aragón. A scholar is included among the top collaborators of María Aragón 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 Aragón. María Aragón is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026