Javier Solera
- Small Animals top 0.05%
- Brucella: diagnosis, epidemiology, treatment 36
- Endocrinology top 2%
- Epidemiology top 2%
- Burkholderia infections and melioidosis 19
- Food Science top 1%
- Salmonella and Campylobacter epidemiology 8
- Parasitology top 2%
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- Monoclonal and Polyclonal Antibodies Research 9
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- Celiac Disease Research and Management 6
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- Galectins and Cancer Biology 6
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- SARS-CoV-2 and COVID-19 Research 4
- Tuberculosis Research and Epidemiology 4
- Co-authors
- Elena NavarroElisa Martı́nez-AlfaroJulián Solís García del PozoGemma Serrano‐HerasAlfredo RodríguezPaloma GeijoΓεώργιος ΠαππάςJulio Escribano
- Journals
- Clinical Infectious Diseases (7 papers)Journal of Infection (7 papers)Journal of Clinical Microbiology (3 papers)
- Partner nations
- SpainNetherlandsFrance
In The Last Decade
Javier Solera
68 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 112
- Small Animals 1.9k
- Endocrinology 238
- Epidemiology 1.5k
- Food Science 771
- Parasitology 274
Countries citing papers authored by Javier Solera
This map shows the geographic impact of Javier Solera'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 Solera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Solera more than expected).
Fields of papers citing papers by Javier Solera
This network shows the impact of papers produced by Javier Solera. 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 Solera. The network helps show where Javier Solera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Javier Solera, 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 | 2025 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 13 | |
| 6 | 2012 | 105 | |
| 7 | 2011 | 5 | |
| 8 | 2010 | 102 | |
| 9 | 2006 | 81 | |
| 10 | 2006 | 1 | |
| 11 | 2004 | 44 | |
| 12 | 2004 | 29 | |
| 13 | 2003 | 14 | |
| 14 | 2002 | 83 | |
| 15 | 2001 | 32 | |
| 16 | 2000 | 27 | |
| 17 | 1999 | 199 | |
| 18 | 1997 | 11 | |
| 19 | 1996 | 21 | |
| 20 | 1993 | 27 |
About Javier Solera
Javier Solera is a scholar working on Small Animals, Microbiology, Life-span and Life-course Studies, Gastroenterology and Epidemiology, having authored 71 papers that have together received 2.8k indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (36 papers), Burkholderia infections and melioidosis (19 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Salmonella and Campylobacter epidemiology (8 papers), Celiac Disease Research and Management (6 papers), Galectins and Cancer Biology (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Tuberculosis Research and Epidemiology (4 papers). The work is most often cited by research in Small Animals (1.9k citations), Endocrinology (238 citations), Epidemiology (1.5k citations), Food Science (771 citations) and Parasitology (274 citations). Javier Solera has collaborated with scholars based in Spain, Netherlands and France. Frequent co-authors include Elena Navarro, Elisa Martı́nez-Alfaro, Julián Solís García del Pozo, Gemma Serrano‐Heras, Alfredo Rodríguez, Paloma Geijo, Γεώργιος Παππάς, Julio Escribano, Javier Ariza and Manuel Rodríguez Zapata. Their work appears in journals such as Clinical Infectious Diseases, Journal of Infection, Journal of Clinical Microbiology, Orphanet Journal of Rare Diseases and Frontiers in Immunology.
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.