Marı́a Pérez-Vázquez
- Molecular Medicine top 0.1%
- Epidemiology top 2%
- Endocrinology top 0.5%
- Molecular Biology
- Microbiology top 1%
- Co-authors
- Jesús OteoJosé CamposBelén AracilSilvia García-CobosVerónica BautistaRafael CantónFederico RománEmilia Cercenado
- Topics
- Antibiotic Resistance in Bacteria (61 papers)Pneumonia and Respiratory Infections (25 papers)Antibiotics Pharmacokinetics and Efficacy (19 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American College of CardiologyClinical Infectious Diseases
- 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
- Epidemiology 1.3k
- Endocrinology 806
- Molecular Biology 551
- Microbiology 441
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 of co-authors of Marı́a Pérez-Vázquez
This figure shows the co-authorship network connecting the top 25 collaborators of Marı́a Pérez-Vázquez. A scholar is included among the top collaborators of Marı́a Pérez-Vázquez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marı́a Pérez-Vázquez. Marı́a Pérez-Vázquez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 17 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 11 | |
| 9 | 9 | |
| 10 | 23 | |
| 11 | 12 | |
| 12 | 28 | |
| 13 | 24 | |
| 14 | 14 | |
| 15 | 40 | |
| 16 | 7 | |
| 17 | 34 | |
| 18 | 2 | |
| 19 | 15 | |
| 20 | 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) and Antibiotics Pharmacokinetics and Efficacy (19 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.