J Romero-Vivas
- Infectious Diseases top 2%
- Epidemiology top 10%
- Clinical Biochemistry top 1%
- Critical Care and Intensive Care Medicine top 5%
- Molecular Medicine top 5%
- Co-authors
- Juan J. PicazoMargarita Rubio AlonsoMiguel GonzálezCarmen Cagigas FernándezClaudia Aura GonzalezOctavio CorralEmilio BouzaJ Martínez-Beltrán
- Topics
- Antimicrobial Resistance in Staphylococcus (5 papers)Antibiotic Resistance in Bacteria (4 papers)Bacterial Identification and Susceptibility Testing (3 papers)
- Journals
- Clinical Infectious DiseasesJournal of Clinical MicrobiologyAntimicrobial Agents and Chemotherapy
- Partner nations
- Spain
In The Last Decade
J Romero-Vivas
13 papers receiving 820 citations
Peers
Comparison fields: 5 of 73
- Infectious Diseases 564
- Epidemiology 405
- Clinical Biochemistry 316
- Critical Care and Intensive Care Medicine 153
- Molecular Medicine 142
Countries citing papers authored by J Romero-Vivas
This map shows the geographic impact of J Romero-Vivas'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 J Romero-Vivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Romero-Vivas more than expected).
Fields of papers citing papers by J Romero-Vivas
This network shows the impact of papers produced by J Romero-Vivas. 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 J Romero-Vivas. The network helps show where J Romero-Vivas may publish in the future.
Co-authorship network of co-authors of J Romero-Vivas
This figure shows the co-authorship network connecting the top 25 collaborators of J Romero-Vivas. A scholar is included among the top collaborators of J Romero-Vivas 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 J Romero-Vivas. J Romero-Vivas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 18 | |
| 3 | 124 | |
| 4 | 2 | |
| 5 | 318 | |
| 6 | 7 | |
| 7 | 260 | |
| 8 | [Beta-lactamase producing bacteria in the pharyngeal flora of patients with acute pharyngitis]. | 2 |
| 9 | 36 | |
| 10 | 74 | |
| 11 | 13 | |
| 12 | [Infectious endocarditis. 5 years' experience]. | 2 |
| 13 | 7 |
About J Romero-Vivas
J Romero-Vivas is a scholar working on Molecular Medicine, Infectious Diseases and Clinical Biochemistry, having authored 13 papers that have together received 866 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (5 papers), Antibiotic Resistance in Bacteria (4 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (101 citations), Clinical Biochemistry (316 citations) and Infectious Diseases (564 citations). J Romero-Vivas has collaborated with scholars based in Spain. Frequent co-authors include Juan J. Picazo, Margarita Rubio Alonso, Miguel González, Carmen Cagigas Fernández, Claudia Aura Gonzalez, Octavio Corral, Emilio Bouza, J Martínez-Beltrán, Antonio Guerrero and M. A. Meseguer. Their work appears in journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology 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.