Monica DaSilva
- Pulmonary and Respiratory Medicine top 10%
- Surgery
- Emergency Medicine top 10%
- Biomedical Engineering
- Critical Care and Intensive Care Medicine top 5%
- Co-authors
- Jay SteinbergHenry J. SchillerLouis A. GattoJeffrey M. HalterGary F. NiemanSteve LandasUlysse G. McCannPäivi Maisi
- Topics
- Neonatal Respiratory Health Research (4 papers)Respiratory Support and Mechanisms (4 papers)Cardiac Arrest and Resuscitation (2 papers)
- Cited by
- Critical Care and Intensive Care MedicinePulmonary and Respiratory MedicineEmergency Medicine
- Journals
- American Journal of Respiratory and Critical Care MedicineCritical Care MedicineThe American Journal of Cardiology
- Partner nations
- United StatesFinlandCanada
In The Last Decade
Monica DaSilva
7 papers receiving 478 citations
Peers
Comparison fields: 5 of 77
- Pulmonary and Respiratory Medicine 333
- Surgery 109
- Emergency Medicine 93
- Biomedical Engineering 72
- Critical Care and Intensive Care Medicine 67
Countries citing papers authored by Monica DaSilva
This map shows the geographic impact of Monica DaSilva'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 Monica DaSilva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica DaSilva more than expected).
Fields of papers citing papers by Monica DaSilva
This network shows the impact of papers produced by Monica DaSilva. 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 Monica DaSilva. The network helps show where Monica DaSilva may publish in the future.
Co-authorship network of co-authors of Monica DaSilva
This figure shows the co-authorship network connecting the top 25 collaborators of Monica DaSilva. A scholar is included among the top collaborators of Monica DaSilva 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 Monica DaSilva. Monica DaSilva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 7 | |
| 3 | 17 | |
| 4 | 175 | |
| 5 | 149 | |
| 6 | 73 | |
| 7 | 49 |
About Monica DaSilva
Monica DaSilva is a scholar working on Anesthesiology and Pain Medicine, Emergency Medicine and Critical Care and Intensive Care Medicine, having authored 7 papers that have together received 497 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (4 papers), Respiratory Support and Mechanisms (4 papers) and Cardiac Arrest and Resuscitation (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (67 citations), Pulmonary and Respiratory Medicine (333 citations) and Emergency Medicine (93 citations). Monica DaSilva has collaborated with scholars based in United States, Finland and Canada. Frequent co-authors include Jay Steinberg, Henry J. Schiller, Louis A. Gatto, Jeffrey M. Halter, Gary F. Nieman, Steve Landas, Ulysse G. McCann, Päivi Maisi, Timo Sorsa and Hsi‐Ming Lee. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Critical Care Medicine and The American Journal of Cardiology.
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.