Ana Martín‐Suárez
- Pharmacology top 5%
- Infectious Diseases top 10%
- Epidemiology
- Pediatrics, Perinatology and Child Health
- Clinical Biochemistry top 10%
- Co-authors
- María Victoria Martínez CalvoMaria GattaJosé M. LanaoHinojal Zazo GómezFernándo MuñozCristina MaderueloJuan Cruz-BenitoFrancisco José García‐Peñalvo
- Topics
- Antibiotics Pharmacokinetics and Efficacy (9 papers)Virtual Reality Applications and Impacts (6 papers)Pneumonia and Respiratory Infections (5 papers)
- Partner nations
- SpainUnited StatesPortugal
In The Last Decade
Ana Martín‐Suárez
26 papers receiving 430 citations
Peers
Comparison fields: 5 of 89
- Pharmacology 195
- Infectious Diseases 121
- Epidemiology 111
- Pediatrics, Perinatology and Child Health 60
- Clinical Biochemistry 56
Countries citing papers authored by Ana Martín‐Suárez
This map shows the geographic impact of Ana Martín‐Suárez'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 Ana Martín‐Suárez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Martín‐Suárez more than expected).
Fields of papers citing papers by Ana Martín‐Suárez
This network shows the impact of papers produced by Ana Martín‐Suárez. 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 Ana Martín‐Suárez. The network helps show where Ana Martín‐Suárez may publish in the future.
Co-authorship network of co-authors of Ana Martín‐Suárez
This figure shows the co-authorship network connecting the top 25 collaborators of Ana Martín‐Suárez. A scholar is included among the top collaborators of Ana Martín‐Suárez 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 Ana Martín‐Suárez. Ana Martín‐Suárez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 67 | |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | Usalpharma: Una arquitectura software al servicio del aprendizaje en Mundos Virtuales | 2 |
| 11 | 20 | |
| 12 | 19 | |
| 13 | 13 | |
| 14 | 111 | |
| 15 | 3 | |
| 16 | 17 | |
| 17 | 14 | |
| 18 | 9 | |
| 19 | 6 | |
| 20 | 28 |
About Ana Martín‐Suárez
Ana Martín‐Suárez is a scholar working on Human-Computer Interaction, Computer Science Applications and General Dentistry, having authored 29 papers that have together received 444 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (9 papers), Virtual Reality Applications and Impacts (6 papers) and Pneumonia and Respiratory Infections (5 papers). The work is most often cited by research in Pharmacology (195 citations), Applied Microbiology and Biotechnology (20 citations) and Clinical Biochemistry (56 citations). Ana Martín‐Suárez has collaborated with scholars based in Spain, United States and Portugal. Frequent co-authors include María Victoria Martínez Calvo, Maria Gatta, José M. Lanao, Hinojal Zazo Gómez, Fernándo Muñoz, Cristina Maderuelo, Juan Cruz-Benito, Francisco José García‐Peñalvo, Alfonso Domínguez‐Gil and Cándido Martín Luengo. Their work appears in journals such as Scientific Reports, Journal of Antimicrobial Chemotherapy and Clinical Pharmacokinetics.
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.