Javier Bezos
- Infectious Diseases top 0.5%
- Tuberculosis Research and Epidemiology 94
- Microbiology top 0.5%
- Microbial infections and disease research 30
- Epidemiology top 1%
- Mycobacterium research and diagnosis 91
- Small Animals top 1%
- Infectious Diseases and Mycology 10
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology 14
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- Infectious Diseases and Tuberculosis 15
- Diagnosis and treatment of tuberculosis 11
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- vaccines and immunoinformatics approaches 9
- Co-authors
- Beatriz RomeroLucas Domı́nguezLucía de JuanJulio ÁlvarezAlicia AranazAna MateosSabrina RodríguezCarmen Casal
- Journals
- Research in Veterinary Science (15 papers)Frontiers in Veterinary Science (13 papers)Preventive Veterinary Medicine (12 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Javier Bezos
107 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 82
- Infectious Diseases 2.1k
- Microbiology 624
- Epidemiology 2.0k
- Small Animals 374
- Agronomy and Crop Science 412
Countries citing papers authored by Javier Bezos
This map shows the geographic impact of Javier Bezos'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 Bezos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Bezos more than expected).
Fields of papers citing papers by Javier Bezos
This network shows the impact of papers produced by Javier Bezos. 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 Bezos. The network helps show where Javier Bezos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Javier Bezos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 11 | |
| 11 | 2020 | 4 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 43 | |
| 14 | Concepto y contenidos actuales de Salud Pública y Política Sanitaria veterinarias | 2018 | 13 |
| 15 | 2015 | 27 | |
| 16 | 2015 | 6 | |
| 17 | 2014 | 15 | |
| 18 | 2013 | 18 | |
| 19 | 2013 | 2 | |
| 20 | 2011 | 35 |
About Javier Bezos
Javier Bezos is a scholar working on Infectious Diseases, Microbiology and Epidemiology, having authored 113 papers that have together received 2.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (94 papers), Mycobacterium research and diagnosis (91 papers), Microbial infections and disease research (30 papers), Infectious Diseases and Tuberculosis (15 papers), Animal Disease Management and Epidemiology (14 papers), Diagnosis and treatment of tuberculosis (11 papers), Infectious Diseases and Mycology (10 papers) and vaccines and immunoinformatics approaches (9 papers). The work is most often cited by research in Infectious Diseases (2.1k citations), Microbiology (624 citations) and Epidemiology (2.0k citations). Javier Bezos has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Beatriz Romero, Lucas Domı́nguez, Lucía de Juan, Julio Álvarez, Alicia Aranaz, Ana Mateos, Sabrina Rodríguez, Carmen Casal, Elena Castellanos and José Luis Sáez. Their work appears in journals such as Research in Veterinary Science, Frontiers in Veterinary Science, Preventive Veterinary Medicine, Veterinary Microbiology and BMC Veterinary Research.
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.