Javier Buesa

6.4k citations
106 papers · 2.5k · h-index 30

Impact in

Papers in

Javier Buesa

105 papers receiving 2.4k citations

Peers

Javier Buesa
Comparison fields: 5 of 109
  • Infectious Diseases 1.9k
  • Animal Science and Zoology 612
  • Hepatology 227
  • Cardiology and Cardiovascular Medicine 587
  • Endocrinology 108
Replace Marli S.P. Azevedo with:
Marli S.P. Azevedo United States
Margaret E. Conner United States
Martin C.W. Chan Hong Kong
Anastasia N. Vlasova United States
G. P. Davidson Australia
Ke Wen United States
Shu Zhu China
Christopher J. McIver Australia
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Citations per field
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Citations per year

Countries citing papers authored by Javier Buesa

Since Specialization
Citations

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

Fields of papers citing papers by Javier Buesa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Javier Buesa, 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 Buesa Line = papers co-authored together Javier Buesa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002161
2 2011146
3 2011109
4 2009104
5 2011104
6 201779
7 201079
8 200758
9 202056
10 200952
11 201349
12 201949
13 201548
14 200648
15 202045
16 201844
17 201444
18 202042
19 201040
20 202139

About Javier Buesa

Javier Buesa is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Animal Science and Zoology, Epidemiology and Genetics, having authored 106 papers that have together received 2.5k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (78 papers), Viral Infections and Immunology Research (29 papers), Animal Virus Infections Studies (25 papers), Clostridium difficile and Clostridium perfringens research (15 papers), Virus-based gene therapy research (9 papers), Respiratory viral infections research (8 papers), Hepatitis Viruses Studies and Epidemiology (7 papers) and Escherichia coli research studies (7 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Animal Science and Zoology (612 citations), Hepatology (227 citations), Cardiology and Cardiovascular Medicine (587 citations) and Endocrinology (108 citations). Javier Buesa has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Jesús Rodríguez‐Díaz, Vicente Monedero, Rebeca Montava, Roberto Gozalbo‐Rovira, Susana Vila-Vicent, Cristina Santiso-Bellón, Juan M. Ribes, Javier Colomina, Ángela Domı́nguez and Josep Morera Prat. Their work appears in journals such as Journal of Medical Virology, BMC Infectious Diseases, Viruses, Journal of Clinical Virology and International Journal of Molecular Sciences.

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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