Daniel Benito
Impact in
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus
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- Antibiotic Use and Resistance
Papers in
-
- Antimicrobial Resistance in Staphylococcus 19
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- Antibiotic Resistance in Bacteria 1
- Co-authors
- Cármen Torres (17 shared papers)Carmen Lozano (13 shared papers)Myriam Zarazaga (10 shared papers)Elena Gómez-Sanz (6 shared papers)Paula Gómez (8 shared papers)Carmen Aspíroz (5 shared papers)Vanesa Estepa (2 shared papers)Javier Viñuela (1 shared paper)
- Journals
- International Journal of Medical Microbiology (2 papers)Veterinary Microbiology (2 papers)Journal of Chemotherapy (1 paper)Journal of Antimicrobial Chemotherapy (1 paper)Journal of Dairy Science (1 paper)
- Partner nations
- SpainPortugalUnited Kingdom
In The Last Decade
Daniel Benito
17 papers receiving 626 citations
Peers
Comparison fields: 5 of 38
- Infectious Diseases 472
- Applied Microbiology and Biotechnology 35
- Molecular Medicine 34
- Agronomy and Crop Science 42
- Pollution 31
Countries citing papers authored by Daniel Benito
This map shows the geographic impact of Daniel Benito'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 Daniel Benito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Benito more than expected).
Fields of papers citing papers by Daniel Benito
This network shows the impact of papers produced by Daniel Benito. 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 Daniel Benito. The network helps show where Daniel Benito may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Benito, 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 | 2011 | 85 | |
| 2 | 2014 | 79 | |
| 3 | 2013 | 77 | |
| 4 | 2014 | 55 | |
| 5 | 2014 | 53 | |
| 6 | 2016 | 52 | |
| 7 | 2015 | 43 | |
| 8 | 2012 | 29 | |
| 9 | 2013 | 29 | |
| 10 | 2013 | 27 | |
| 11 | 2014 | 25 | |
| 12 | 2015 | 21 | |
| 13 | 2015 | 18 | |
| 14 | 2014 | 17 | |
| 15 | 2016 | 17 | |
| 16 | 2020 | 4 | |
| 17 | 2015 | 1 | |
| 18 | Líneas genéticas, virulencia y resistencia a antibióticos en Staphylococcus aureus de diferentes orígenes: Análisis de marcadores de adaptación al huésped y comportamiento en Caenorhabditis elegans | 2015 | 0 |
| 19 | 2026 | 0 |
About Daniel Benito
Daniel Benito is a scholar working on Infectious Diseases, Molecular Medicine, Dermatology, Agronomy and Crop Science and Nuclear Energy and Engineering, having authored 19 papers that have together received 632 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (19 papers), Dermatology and Skin Diseases (1 paper), Antibiotic Resistance in Bacteria (1 paper) and Milk Quality and Mastitis in Dairy Cows (1 paper). The work is most often cited by research in Infectious Diseases (472 citations), Applied Microbiology and Biotechnology (35 citations), Molecular Medicine (34 citations), Agronomy and Crop Science (42 citations) and Pollution (31 citations). Daniel Benito has collaborated with scholars based in Spain, Portugal and United Kingdom. Frequent co-authors include Cármen Torres, Carmen Lozano, Myriam Zarazaga, Elena Gómez-Sanz, Paula Gómez, Carmen Aspíroz, Vanesa Estepa, Javier Viñuela, David González‐Barrio and Francisco Ruiz‐Fons. Their work appears in journals such as International Journal of Medical Microbiology, Veterinary Microbiology, Journal of Chemotherapy, Journal of Antimicrobial Chemotherapy and Journal of Dairy Science.
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.