Marı́a Pérez-Vázquez
- Molecular Medicine top 0.1%
- Antibiotic Resistance in Bacteria 61
- Endocrinology top 0.5%
- Enterobacteriaceae and Cronobacter Research 12
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- Antibiotic Use and Resistance 9
- Microbiology top 1%
- Bacterial Infections and Vaccines 16
- Clinical Biochemistry top 1%
- Bacterial Identification and Susceptibility Testing 11
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- Pneumonia and Respiratory Infections 25
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- Antibiotics Pharmacokinetics and Efficacy 19
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- Antimicrobial Resistance in Staphylococcus 8
- Co-authors
- Jesús OteoJosé CamposBelén AracilSilvia García-CobosVerónica BautistaRafael CantónFederico RománEmilia Cercenado
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American College of Cardiology (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- SpainUnited StatesNetherlands
In The Last Decade
Marı́a Pérez-Vázquez
98 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 119
- Molecular Medicine 1.8k
- Endocrinology 806
- Applied Microbiology and Biotechnology 264
- Microbiology 441
- Clinical Biochemistry 384
Countries citing papers authored by Marı́a Pérez-Vázquez
This map shows the geographic impact of Marı́a Pérez-Vázquez'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 Marı́a Pérez-Vázquez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marı́a Pérez-Vázquez more than expected).
Fields of papers citing papers by Marı́a Pérez-Vázquez
This network shows the impact of papers produced by Marı́a Pérez-Vázquez. 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 Marı́a Pérez-Vázquez. The network helps show where Marı́a Pérez-Vázquez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marı́a Pérez-Vázquez, 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 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 17 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 7 | |
| 7 | 2023 | 0 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 23 | |
| 11 | 2018 | 12 | |
| 12 | 2016 | 28 | |
| 13 | 2014 | 24 | |
| 14 | 2014 | 14 | |
| 15 | 2010 | 40 | |
| 16 | 2008 | 7 | |
| 17 | 2008 | 34 | |
| 18 | 2004 | 2 | |
| 19 | 2002 | 15 | |
| 20 | 2001 | 15 |
About Marı́a Pérez-Vázquez
Marı́a Pérez-Vázquez is a scholar working on Molecular Medicine, Endocrinology and Applied Microbiology and Biotechnology, having authored 99 papers that have together received 3.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (61 papers), Pneumonia and Respiratory Infections (25 papers), Antibiotics Pharmacokinetics and Efficacy (19 papers), Bacterial Infections and Vaccines (16 papers), Enterobacteriaceae and Cronobacter Research (12 papers), Bacterial Identification and Susceptibility Testing (11 papers), Antibiotic Use and Resistance (9 papers) and Antimicrobial Resistance in Staphylococcus (8 papers). The work is most often cited by research in Molecular Medicine (1.8k citations), Endocrinology (806 citations) and Applied Microbiology and Biotechnology (264 citations). Marı́a Pérez-Vázquez has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include Jesús Oteo, José Campos, Belén Aracil, Silvia García-Cobos, Verónica Bautista, Rafael Cantón, Federico Román, José Campos, Emilia Cercenado and Fernando Baquero. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American College of Cardiology and Clinical Infectious Diseases.
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.