Marina Peñuelas
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies 6
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- Antibiotic Resistance in Bacteria 2
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- Antibiotic Use and Resistance 2
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- Antimicrobial Resistance in Staphylococcus 3
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- Hepatitis Viruses Studies and Epidemiology 3
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- Data-Driven Disease Surveillance 3
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- COVID-19 Pandemic Impacts 2
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- Antibiotics Pharmacokinetics and Efficacy 2
- Co-authors
- Francisco Javier CandelDiana Gómez‐BarrosoRebeca RamisAyelén Rojas‐BenedictoClara MazagatosJavier Del-Águila-MejíaNicolás RosilloInmaculada León-Gómez
In The Last Decade
Marina Peñuelas
18 papers receiving 216 citations
Peers
Comparison fields: 5 of 84
- Modeling and Simulation 32
- Molecular Medicine 32
- Applied Microbiology and Biotechnology 9
- Infectious Diseases 67
- Health 20
Countries citing papers authored by Marina Peñuelas
This map shows the geographic impact of Marina Peñuelas'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 Marina Peñuelas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Peñuelas more than expected).
Fields of papers citing papers by Marina Peñuelas
This network shows the impact of papers produced by Marina Peñuelas. 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 Marina Peñuelas. The network helps show where Marina Peñuelas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marina Peñuelas, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 0 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 91 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 15 | |
| 15 | 2019 | 6 | |
| 16 | Fluoroquinolonas: perspectivas no antibacterianas | 2017 | 5 |
| 17 | 2017 | 53 | |
| 18 | Actividad comparativa in vitro entre linezolid y tedizolid frente a aislados clínicos de Staphylococcus aureus resistentes a meticilina y aislados resistentes también a linezolid | 2016 | 2 |
| 19 | Activity of linezolid and tedizolid against clinical isolates of methicillin-resistant and methicillin and linezolid resistant Staphylococcus aureus: an in vitro comparison. | 2016 | 5 |
About Marina Peñuelas
Marina Peñuelas is a scholar working on Modeling and Simulation, Applied Microbiology and Biotechnology and Molecular Medicine, having authored 19 papers that have together received 218 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Data-Driven Disease Surveillance (3 papers), COVID-19 Pandemic Impacts (2 papers), Antibiotic Use and Resistance (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Modeling and Simulation (32 citations), Molecular Medicine (32 citations) and Applied Microbiology and Biotechnology (9 citations). Marina Peñuelas has collaborated with scholars based in Spain, Lebanon and Colombia. Frequent co-authors include Francisco Javier Candel, Diana Gómez‐Barroso, Rebeca Ramis, Ayelén Rojas‐Benedicto, Clara Mazagatos, Javier Del-Águila-Mejía, Nicolás Rosillo, Inmaculada León-Gómez, Mayra Matesanz and Javier Pemán. Their work appears in journals such as Annals of the Rheumatic Diseases, International Journal of Environmental Research and Public Health and BMC Public Health.
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.