Felipe Fernández-Cuenca
- Molecular Medicine top 0.5%
- Molecular Biology
- Endocrinology top 2%
- Ecology top 10%
- Pharmacology top 10%
- Co-authors
- Álvaro PascualLuis Martínez‐MartínezMercedes Delgado-ValverdeJesús MachucaJesús Rodríguez‐BañoLucía BlascoMaría TomásLaura Fernández-García
- Topics
- Antibiotic Resistance in Bacteria (38 papers)Bacterial biofilms and quorum sensing (16 papers)Bacteriophages and microbial interactions (13 papers)
- Partner nations
- SpainUnited StatesAustralia
In The Last Decade
Felipe Fernández-Cuenca
53 papers receiving 854 citations
Peers
Comparison fields: 5 of 74
- Molecular Medicine 550
- Molecular Biology 314
- Endocrinology 232
- Ecology 215
- Pharmacology 122
Countries citing papers authored by Felipe Fernández-Cuenca
This map shows the geographic impact of Felipe Fernández-Cuenca'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 Felipe Fernández-Cuenca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felipe Fernández-Cuenca more than expected).
Fields of papers citing papers by Felipe Fernández-Cuenca
This network shows the impact of papers produced by Felipe Fernández-Cuenca. 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 Felipe Fernández-Cuenca. The network helps show where Felipe Fernández-Cuenca may publish in the future.
Co-authorship network of co-authors of Felipe Fernández-Cuenca
This figure shows the co-authorship network connecting the top 25 collaborators of Felipe Fernández-Cuenca. A scholar is included among the top collaborators of Felipe Fernández-Cuenca 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 Felipe Fernández-Cuenca. Felipe Fernández-Cuenca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 15 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 5 | |
| 8 | 26 | |
| 9 | 18 | |
| 10 | 85 | |
| 11 | 41 | |
| 12 | 23 | |
| 13 | 13 | |
| 14 | 7 | |
| 15 | 20 | |
| 16 | 9 | |
| 17 | 13 | |
| 18 | 11 | |
| 19 | 3 | |
| 20 | Actividad in vitro de azitromicina frente a aislamientos clínicos de Acinetobacter baumannii | 4 |
About Felipe Fernández-Cuenca
Felipe Fernández-Cuenca is a scholar working on Molecular Medicine, Endocrinology and Microbiology, having authored 56 papers that have together received 871 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (38 papers), Bacterial biofilms and quorum sensing (16 papers) and Bacteriophages and microbial interactions (13 papers). The work is most often cited by research in Molecular Medicine (550 citations), Endocrinology (232 citations) and Applied Microbiology and Biotechnology (80 citations). Felipe Fernández-Cuenca has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Álvaro Pascual, Luis Martínez‐Martínez, Mercedes Delgado-Valverde, Jesús Machuca, Jesús Rodríguez‐Baño, Lucía Blasco, María Tomás, Laura Fernández-García, Germán Bou and Lorena López‐Cerero. Their work appears in journals such as Scientific Reports, Journal of Bacteriology and Antimicrobial Agents and Chemotherapy.
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.