Juan Romanyk
- Infectious Diseases top 5%
- Biomedical Engineering
- Epidemiology
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Juan Cuadros‐GonzálezPeña Gómez-HerruzRamón Pérez‐TanoiraFelipe Pérez‐GarcíaTeresa ArroyoManuel LinaresAna CarreroJavier Ena
- Topics
- SARS-CoV-2 and COVID-19 Research (5 papers)SARS-CoV-2 detection and testing (5 papers)Pneumonia and Respiratory Infections (3 papers)
- Partner nations
- Spain
In The Last Decade
Juan Romanyk
19 papers receiving 369 citations
Peers
Comparison fields: 5 of 53
- Infectious Diseases 315
- Biomedical Engineering 125
- Epidemiology 66
- Molecular Biology 65
- Radiology, Nuclear Medicine and Imaging 45
Countries citing papers authored by Juan Romanyk
This map shows the geographic impact of Juan Romanyk'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 Juan Romanyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Romanyk more than expected).
Fields of papers citing papers by Juan Romanyk
This network shows the impact of papers produced by Juan Romanyk. 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 Juan Romanyk. The network helps show where Juan Romanyk may publish in the future.
Co-authorship network of co-authors of Juan Romanyk
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Romanyk. A scholar is included among the top collaborators of Juan Romanyk 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 Juan Romanyk. Juan Romanyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 15 | |
| 3 | 11 | |
| 4 | 32 | |
| 5 | 155 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | [Decolonization for Staphylococcus aureus carriers in arthroplasty surgery after hip fracture]. | 4 |
| 11 | [Prosthetic joint infection in patients with hip fracture. Differences from infection of elective prosthesis]. | 5 |
| 12 | 7 | |
| 13 | 0 | |
| 14 | 35 | |
| 15 | 3 | |
| 16 | 20 | |
| 17 | [Prevalence of antimicrobial resistance in enterococci isolated from blood in Madrid (1994-1995)]. | 6 |
| 18 | 8 | |
| 19 | 31 | |
| 20 | [Disseminated cutaneous lesions in a patient with bacteremia caused by Mycobacterium avium-M. intracellulare]. | 4 |
About Juan Romanyk
Juan Romanyk is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Microbiology, having authored 20 papers that have together received 379 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), SARS-CoV-2 detection and testing (5 papers) and Pneumonia and Respiratory Infections (3 papers). The work is most often cited by research in Infectious Diseases (315 citations), Clinical Biochemistry (36 citations) and Applied Microbiology and Biotechnology (8 citations). Juan Romanyk has collaborated with scholars based in Spain. Frequent co-authors include Juan Cuadros‐González, Peña Gómez-Herruz, Ramón Pérez‐Tanoira, Felipe Pérez‐García, Teresa Arroyo, Manuel Linares, Ana Carrero, Javier Ena, Isabel Krsnik and Rosa González. Their work appears in journals such as PLoS ONE, American Journal of Tropical Medicine and Hygiene and Journal of Medical Virology.
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.