Mai-Anh Nay
- Critical Care and Intensive Care Medicine top 5%
- Pulmonary and Respiratory Medicine
- Anesthesiology and Pain Medicine top 5%
- Surgery
- Physiology
- Co-authors
- Thierry BoulainAdrien AuvetToufik KamelGuillaume FossatGrégoire MüllerFlorian BaudinMarie SkarzynskiArmelle Mathonnet
- Topics
- Respiratory Support and Mechanisms (8 papers)Intensive Care Unit Cognitive Disorders (6 papers)Airway Management and Intubation Techniques (5 papers)
- Cited by
- Critical Care and Intensive Care MedicineAnesthesiology and Pain MedicineGeriatrics and Gerontology
- Partner nations
- FranceMonacoUnited States
In The Last Decade
Mai-Anh Nay
17 papers receiving 303 citations
Peers
Comparison fields: 5 of 63
- Critical Care and Intensive Care Medicine 139
- Pulmonary and Respiratory Medicine 127
- Anesthesiology and Pain Medicine 96
- Surgery 61
- Physiology 49
Countries citing papers authored by Mai-Anh Nay
This map shows the geographic impact of Mai-Anh Nay'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 Mai-Anh Nay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mai-Anh Nay more than expected).
Fields of papers citing papers by Mai-Anh Nay
This network shows the impact of papers produced by Mai-Anh Nay. 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 Mai-Anh Nay. The network helps show where Mai-Anh Nay may publish in the future.
Co-authorship network of co-authors of Mai-Anh Nay
This figure shows the co-authorship network connecting the top 25 collaborators of Mai-Anh Nay. A scholar is included among the top collaborators of Mai-Anh Nay 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 Mai-Anh Nay. Mai-Anh Nay 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 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 74 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 21 | |
| 14 | 8 | |
| 15 | 130 | |
| 16 | 18 | |
| 17 | 2 | |
| 18 | 0 | |
| 19 | 20 | |
| 20 | 11 |
About Mai-Anh Nay
Mai-Anh Nay is a scholar working on Critical Care and Intensive Care Medicine, Anesthesiology and Pain Medicine and Radiological and Ultrasound Technology, having authored 20 papers that have together received 312 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (8 papers), Intensive Care Unit Cognitive Disorders (6 papers) and Airway Management and Intubation Techniques (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (139 citations), Anesthesiology and Pain Medicine (96 citations) and Geriatrics and Gerontology (29 citations). Mai-Anh Nay has collaborated with scholars based in France, Monaco and United States. Frequent co-authors include Thierry Boulain, Adrien Auvet, Toufik Kamel, Guillaume Fossat, Grégoire Müller, Florian Baudin, Marie Skarzynski, Armelle Mathonnet, F. Remérand and Anne Bretagnol. Their work appears in journals such as New England Journal of Medicine, JAMA and Critical Care Medicine.
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.