José Manuel Azcona

138 total papers · 4.0k total citations
47 papers, 1.1k citations indexed

About

José Manuel Azcona is a scholar working on Infectious Diseases, Surgery and Molecular Biology. According to data from OpenAlex, José Manuel Azcona has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 7 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in José Manuel Azcona's work include Antimicrobial Resistance in Staphylococcus (9 papers), Antibiotic Resistance in Bacteria (7 papers) and Bacterial biofilms and quorum sensing (6 papers). José Manuel Azcona is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (9 papers), Antibiotic Resistance in Bacteria (7 papers) and Bacterial biofilms and quorum sensing (6 papers). José Manuel Azcona collaborates with scholars based in Spain, United States and Mexico. José Manuel Azcona's co-authors include Ali S. Hadi, Enrique Castillo, Yolanda Sáenz, Cármen Torres, Beatriz Rojo‐Bezares, Manoranjan Midde, Praveen Kumar Naik, Gerardo Alvarez‐Uria, Agustín Mayo-Íscar and Margarita Calonge and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Science Translational Medicine.

In The Last Decade

José Manuel Azcona

46 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
José Manuel Azcona 267 245 190 138 98 47 1.1k
R. Michael Massanari 90 0.3× 426 1.7× 274 1.4× 42 0.3× 340 3.5× 71 1.4k
Richard Bauer 82 0.3× 55 0.2× 174 0.9× 94 0.7× 122 1.2× 38 1.1k
Zeehaida Mohamed 90 0.3× 311 1.3× 154 0.8× 41 0.3× 168 1.7× 127 1.4k
Li Li 309 1.2× 178 0.7× 168 0.9× 13 0.1× 235 2.4× 53 1.4k
F. Denis 51 0.2× 240 1.0× 115 0.6× 98 0.7× 417 4.3× 69 1.1k
Wan‐Ting Hsu 176 0.7× 184 0.8× 277 1.5× 9 0.1× 289 2.9× 76 1.4k
Guido Basile 57 0.2× 25 0.1× 181 1.0× 97 0.7× 91 0.9× 69 1.4k
Yuval Geffen 35 0.1× 498 2.0× 184 1.0× 321 2.3× 459 4.7× 86 1.4k
A. McNabb 165 0.6× 301 1.2× 210 1.1× 30 0.2× 383 3.9× 54 1.4k
Hervé Chaudet 41 0.2× 533 2.2× 108 0.6× 116 0.8× 502 5.1× 89 1.4k

Countries citing papers authored by José Manuel Azcona

Since Specialization
Citations

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

Fields of papers citing papers by José Manuel Azcona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Manuel Azcona. 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 José Manuel Azcona. The network helps show where José Manuel Azcona may publish in the future.

Co-authorship network of co-authors of José Manuel Azcona

This figure shows the co-authorship network connecting the top 25 collaborators of José Manuel Azcona. A scholar is included among the top collaborators of José Manuel Azcona 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 José Manuel Azcona. José Manuel Azcona 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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