C. Vilà
- Epidemiology
- Pulmonary and Respiratory Medicine
- Pediatrics, Perinatology and Child Health
- Critical Care and Intensive Care Medicine top 10%
- Infectious Diseases
- Co-authors
- Judith Marín‐CorralPere SalaXavier DemestreFrancisco Álvarez-LermaAlejandro RodríguezFrancisco MolinaJoan-Ramon MasclansJoan Ramón Masclans
- Topics
- Neonatal Respiratory Health Research (7 papers)Influenza Virus Research Studies (5 papers)Infant Development and Preterm Care (5 papers)
- Cited by
- Critical Care and Intensive Care MedicineApplied Microbiology and BiotechnologyPulmonary and Respiratory Medicine
- Partner nations
- SpainIrelandUnited States
In The Last Decade
C. Vilà
20 papers receiving 260 citations
Peers
Comparison fields: 5 of 49
- Epidemiology 127
- Pulmonary and Respiratory Medicine 120
- Pediatrics, Perinatology and Child Health 46
- Critical Care and Intensive Care Medicine 42
- Infectious Diseases 42
Countries citing papers authored by C. Vilà
This map shows the geographic impact of C. Vilà'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 C. Vilà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Vilà more than expected).
Fields of papers citing papers by C. Vilà
This network shows the impact of papers produced by C. Vilà. 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 C. Vilà. The network helps show where C. Vilà may publish in the future.
Co-authorship network of co-authors of C. Vilà
This figure shows the co-authorship network connecting the top 25 collaborators of C. Vilà. A scholar is included among the top collaborators of C. Vilà 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 C. Vilà. C. Vilà is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 10 | |
| 5 | 27 | |
| 6 | 14 | |
| 7 | 9 | |
| 8 | 28 | |
| 9 | 49 | |
| 10 | 3 | |
| 11 | Valors de tensió arterial en nadons sans | 1 |
| 12 | 6 | |
| 13 | 18 | |
| 14 | 9 | |
| 15 | 8 | |
| 16 | 9 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 46 | |
| 20 | 2 |
About C. Vilà
C. Vilà is a scholar working on Applied Microbiology and Biotechnology, Critical Care and Intensive Care Medicine and Obstetrics and Gynecology, having authored 20 papers that have together received 264 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (7 papers), Influenza Virus Research Studies (5 papers) and Infant Development and Preterm Care (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (42 citations), Applied Microbiology and Biotechnology (9 citations) and Pulmonary and Respiratory Medicine (120 citations). C. Vilà has collaborated with scholars based in Spain, Ireland and United States. Frequent co-authors include Judith Marín‐Corral, Pere Sala, Xavier Demestre, Francisco Álvarez-Lerma, Alejandro Rodríguez, Francisco Molina, Joan-Ramon Masclans, Joan Ramón Masclans, Núria Rabella and Irene Dot. Their work appears in journals such as Intensive Care Medicine, Critical Care and The Pediatric Infectious Disease 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.