Martine Reynaud‐Gaubert
- Pulmonary and Respiratory Medicine top 0.5%
- Surgery top 2%
- Epidemiology top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Physiology top 2%
- Co-authors
- Jean-François CordierJ.‐C. DubusJean‐Marc RolainClaire DromerChristophe PisonA. HalounMarc HumbertGérald Simonneau
- Topics
- Transplantation: Methods and Outcomes (58 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (37 papers)Cystic Fibrosis Research Advances (16 papers)
- Partner nations
- FranceSwitzerlandBelgium
In The Last Decade
Martine Reynaud‐Gaubert
131 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Pulmonary and Respiratory Medicine 3.5k
- Surgery 1.4k
- Epidemiology 1.1k
- Cardiology and Cardiovascular Medicine 1.0k
- Physiology 868
Countries citing papers authored by Martine Reynaud‐Gaubert
This map shows the geographic impact of Martine Reynaud‐Gaubert'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 Martine Reynaud‐Gaubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martine Reynaud‐Gaubert more than expected).
Fields of papers citing papers by Martine Reynaud‐Gaubert
This network shows the impact of papers produced by Martine Reynaud‐Gaubert. 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 Martine Reynaud‐Gaubert. The network helps show where Martine Reynaud‐Gaubert may publish in the future.
Co-authorship network of co-authors of Martine Reynaud‐Gaubert
This figure shows the co-authorship network connecting the top 25 collaborators of Martine Reynaud‐Gaubert. A scholar is included among the top collaborators of Martine Reynaud‐Gaubert 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 Martine Reynaud‐Gaubert. Martine Reynaud‐Gaubert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 18 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | Rapid Improvement after Starting Elexacaftor–Tezacaftor–Ivacaftor in Patients with Cystic Fibrosis and Advanced Pulmonary Diseasebreakdown → | 148 |
| 10 | 2 | |
| 11 | 66 | |
| 12 | 91 | |
| 13 | 28 | |
| 14 | 1 | |
| 15 | 334 | |
| 16 | 154 | |
| 17 | 228 | |
| 18 | 73 | |
| 19 | 13 | |
| 20 | 22 |
About Martine Reynaud‐Gaubert
Martine Reynaud‐Gaubert is a scholar working on Transplantation, Microbiology and Pulmonary and Respiratory Medicine, having authored 139 papers that have together received 6.0k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (58 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (37 papers) and Cystic Fibrosis Research Advances (16 papers). The work is most often cited by research in Transplantation (341 citations), Pulmonary and Respiratory Medicine (3.5k citations) and Microbiology (72 citations). Martine Reynaud‐Gaubert has collaborated with scholars based in France, Switzerland and Belgium. Frequent co-authors include Jean-François Cordier, J.‐C. Dubus, Jean‐Marc Rolain, Claire Dromer, Christophe Pison, A. Haloun, Marc Humbert, Gérald Simonneau, Olivier Sitbon and Silpak Biswas. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.
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.