Javier Aznar

3.5k citations
101 papers · 2.2k · h-index 27

Impact in

Papers in

    • Mycobacterium research and diagnosis 15
    • Pneumonia and Respiratory Infections 8
    • Tuberculosis Research and Epidemiology 13
    • Antimicrobial Resistance in Staphylococcus 9

Javier Aznar

99 papers receiving 2.1k citations

Peers

Javier Aznar
Comparison fields: 5 of 110
  • Molecular Medicine 515
  • Infectious Diseases 945
  • Applied Microbiology and Biotechnology 97
  • Microbiology 209
  • Epidemiology 947
Replace Markus Hilty with:
Markus Hilty Switzerland
Mehmet Doğanay Türkiye
Pirkko Kotilainen Finland
Yoshitomo Morinaga Japan
Joseph D. Yao United States
Kevin R. Forward Canada
René Courcol France
Jan P. Arends Netherlands
Emilio Pérez‐Trallero Spain
Rıza Durmaz Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Javier Aznar

Since Specialization
Citations

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

Fields of papers citing papers by Javier Aznar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Javier Aznar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Javier Aznar Line = papers co-authored together Javier Aznar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009173
2 2008138
3 2000101
4 200599
5 201098
6 201694
7 200789
8 200459
9 198555
10 201153
11 201053
12 201052
13 198045
14 200942
15 200341
16 199438
17 200337
18 201734
19 201934
20 201534

About Javier Aznar

Javier Aznar is a scholar working on Epidemiology, Infectious Diseases, Molecular Medicine, Microbiology and Pharmacology, having authored 101 papers that have together received 2.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (18 papers), Mycobacterium research and diagnosis (15 papers), Tuberculosis Research and Epidemiology (13 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers), Reproductive tract infections research (10 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Pneumonia and Respiratory Infections (8 papers) and Bacterial Identification and Susceptibility Testing (8 papers). The work is most often cited by research in Molecular Medicine (515 citations), Infectious Diseases (945 citations), Applied Microbiology and Biotechnology (97 citations), Microbiology (209 citations) and Epidemiology (947 citations). Javier Aznar has collaborated with scholars based in Spain, United States and Czechia. Frequent co-authors include José-Carlos Palomares-Salas, Marı́a José Torres, María José Torres-Sánchez, Christian Gortázar, Jerónimo Pachón, Joaquín Vicente, José Antonio Lepe, Evelio J. Perea, José Miguel Cisneros and A Criado. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Antimicrobial Agents and Chemotherapy, Clinical Microbiology and Infection, Journal of Clinical Microbiology and Diagnostic Microbiology and Infectious Disease.

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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