Javier Fernández
- Molecular Medicine top 1%
- Molecular Biology
- Endocrinology top 2%
- Epidemiology
- Food Science top 5%
- Co-authors
- M. Rosario RodicioBeatriz GuerraKerryl E. Greenwood‐QuaintanceRobin PatelIsidro García‐MeniñoVanesa GarcíaAzucena MoraJosé Ignacio Andrés
- Topics
- Antibiotic Resistance in Bacteria (53 papers)Bacterial Identification and Susceptibility Testing (28 papers)Antimicrobial Resistance in Staphylococcus (14 papers)
- Partner nations
- SpainUnited StatesBelgium
In The Last Decade
Javier Fernández
95 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 113
- Molecular Medicine 502
- Molecular Biology 331
- Endocrinology 285
- Epidemiology 242
- Food Science 235
Countries citing papers authored by Javier Fernández
This map shows the geographic impact of Javier Fernández'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 Javier Fernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Fernández more than expected).
Fields of papers citing papers by Javier Fernández
This network shows the impact of papers produced by Javier Fernández. 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 Javier Fernández. The network helps show where Javier Fernández may publish in the future.
Co-authorship network of co-authors of Javier Fernández
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Fernández. A scholar is included among the top collaborators of Javier Fernández 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 Javier Fernández. Javier Fernández 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 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 12 | |
| 13 | 18 | |
| 14 | 7 | |
| 15 | 47 | |
| 16 | 7 | |
| 17 | Utilidad de la PCR-múltiple (FilmArray blood culture identification) en otros líquidos biológicos. detección de streptococcus pyogenes en absceso cerebral y líquido sinovial | 2 |
| 18 | Complicaciones infecciosas relacionadas con el drenaje ventricular externo. Incidencia y factores de riesgo | 0 |
| 19 | 6 | |
| 20 | 0 |
About Javier Fernández
Javier Fernández is a scholar working on Molecular Medicine, Clinical Biochemistry and Endocrinology, having authored 101 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (53 papers), Bacterial Identification and Susceptibility Testing (28 papers) and Antimicrobial Resistance in Staphylococcus (14 papers). The work is most often cited by research in Molecular Medicine (502 citations), Endocrinology (285 citations) and Applied Microbiology and Biotechnology (102 citations). Javier Fernández has collaborated with scholars based in Spain, United States and Belgium. Frequent co-authors include M. Rosario Rodicio, Beatriz Guerra, Kerryl E. Greenwood‐Quaintance, Robin Patel, Isidro García‐Meniño, Vanesa García, Azucena Mora, José Ignacio Andrés, José Manuel Alonso Segura and Laurent Poirel. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and CHEST Journal.
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.