Javier Bezos

110 papers receiving 2.6k citations

Peers

Javier Bezos
Comparison fields: 5 of 84
  • Infectious Diseases 2.1k
  • Microbiology 572
  • Epidemiology 1.9k
  • Small Animals 362
  • Agronomy and Crop Science 386
Replace Lucía de Juan with:
Lucía de Juan Spain
Beatriz Romero Spain
Alicia Aranaz Spain
Suelee Robbe‐Austerman United States
Janet B. Payeur United States
J. McNair United Kingdom
Diana L. Whipple United States
C.J. Daborn United Kingdom
Debby Cousins Australia
Javan Esfandiari United States
Javier Bezos relative to Lucía de Juan Spain Lucía de Juan's profile →
Citations per field
00.5×1.5×2.2×
Lucía de Juan · 1×
Citations per year

Countries citing papers authored by Javier Bezos

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004158
2 2014104
3 201189
4 200980
5 200680
6 200779
7 201177
8 200869
9 200869
10 201365
11 200662
12 201360
13 201760
14 201756
15 201247
16 200746
17 201945
18 200644
19 201242
20 201141

About Javier Bezos

Javier Bezos is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Surgery and Small Animals, having authored 115 papers that have together received 2.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (94 papers), Mycobacterium research and diagnosis (85 papers), Microbial infections and disease research (27 papers), Infectious Diseases and Tuberculosis (14 papers), Animal Disease Management and Epidemiology (12 papers), Infectious Diseases and Mycology (10 papers), Diagnosis and treatment of tuberculosis (9 papers) and vaccines and immunoinformatics approaches (9 papers). The work is most often cited by research in Infectious Diseases (2.1k citations), Microbiology (572 citations), Epidemiology (1.9k citations), Small Animals (362 citations) and Agronomy and Crop Science (386 citations). Javier Bezos has collaborated with scholars based in Spain, Vietnam and United States. 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 Journal of Clinical Microbiology.

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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