Juan Ayllón

48 total papers · 1.5k total citations
34 papers, 1.2k citations indexed

About

Juan Ayllón is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Juan Ayllón has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 19 papers in Immunology and 9 papers in Molecular Biology. Recurrent topics in Juan Ayllón's work include Influenza Virus Research Studies (20 papers), interferon and immune responses (16 papers) and Respiratory viral infections research (8 papers). Juan Ayllón is often cited by papers focused on Influenza Virus Research Studies (20 papers), interferon and immune responses (16 papers) and Respiratory viral infections research (8 papers). Juan Ayllón collaborates with scholars based in United States, Spain and United Kingdom. Juan Ayllón's co-authors include Adolfo Garcı́a-Sastre, Benjamin G. Hale, Peter Palese, Ana Fernández-Sesma, Luis Martínez‐Sobrido, Lisa Miorin, Ricardo Rajsbaum, Dabeiba Bernal‐Rubio, Juan R. Rodríguez-Madoz and Joseph Ashour and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and SHILAP Revista de lepidopterología.

In The Last Decade

Juan Ayllón

31 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Juan Ayllón 681 578 379 323 200 34 1.2k
Christopher B. Brooke 631 0.9× 283 0.5× 330 0.9× 310 1.0× 157 0.8× 40 1.1k
Carles Martínez‐Romero 382 0.6× 372 0.6× 399 1.1× 341 1.1× 161 0.8× 25 1.0k
Bobo Wing-Yee Mok 421 0.6× 344 0.6× 697 1.8× 450 1.4× 236 1.2× 34 1.5k
Chenhe Su 628 0.9× 813 1.4× 344 0.9× 486 1.5× 75 0.4× 27 1.4k
Robin A. Robinson 784 1.2× 359 0.6× 270 0.7× 271 0.8× 105 0.5× 31 1.4k
Gerald Aichinger 394 0.6× 647 1.1× 253 0.7× 335 1.0× 108 0.5× 31 1.2k
Matthias Liniger 666 1.0× 382 0.7× 364 1.0× 328 1.0× 226 1.1× 39 1.2k
Maria Kalamvoki 590 0.9× 537 0.9× 325 0.9× 586 1.8× 89 0.4× 39 1.2k
Victor C. Huber 929 1.4× 597 1.0× 301 0.8× 200 0.6× 133 0.7× 48 1.4k
María Teresa Sánchez-Aparicio 323 0.5× 848 1.5× 584 1.5× 498 1.5× 268 1.3× 23 1.4k

Countries citing papers authored by Juan Ayllón

Since Specialization
Citations

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

Fields of papers citing papers by Juan Ayllón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Ayllón

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Ayllón. A scholar is included among the top collaborators of Juan Ayllón 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 Juan Ayllón. Juan Ayllón 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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