D Métras

128 papers receiving 1.7k citations

Peers

D Métras
Comparison fields: 5 of 90
  • Transplantation 111
  • Cardiology and Cardiovascular Medicine 706
  • Surgery 1.1k
  • Epidemiology 806
  • Pulmonary and Respiratory Medicine 732
Replace Neil Ettinger with:
Neil Ettinger United States
Larry L. Schulman United States
James D. Flaherty United States
Susan W. Denfield United States
Abdul K. Deiraniya United Kingdom
Maryl R. Johnson United States
Sylvie Di Filippo France
Gösta Pettersson Denmark
Michael Burch United Kingdom
Jacqueline M. Lamour United States
D Métras relative to Neil Ettinger United States Neil Ettinger's profile →
Citations per field
00.5×1.5×1.8×
Neil Ettinger · 1×
Citations per year

Countries citing papers authored by D Métras

Since Specialization
Citations

This map shows the geographic impact of D Métras'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 D Métras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D Métras more than expected).

Fields of papers citing papers by D Métras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D Métras. 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 D Métras. The network helps show where D Métras may publish in the future.

Co-authors

The 25 scholars most cited alongside D Métras, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D Métras Line = papers co-authored together D Métras links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200495
2 199692
3 200174
4 199253
5 200752
6 201051
7 199350
8 199047
9 199845
10 200640
11 200638
12 200337
13 198236
14 200134
15 201133
16 199433
17 200532
18
The surgical treatment of endomyocardial fibrosis: results in 55 patients.
198530
19 200728
20
Ross and Ross-Konno procedures in infants, children and adolescents: a 13-year experience.
200928

About D Métras

D Métras is a scholar working on Surgery, Epidemiology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Rheumatology, having authored 138 papers that have together received 1.8k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (43 papers), Transplantation: Methods and Outcomes (29 papers), Cardiac Structural Anomalies and Repair (27 papers), Cardiac Valve Diseases and Treatments (27 papers), Tracheal and airway disorders (18 papers), Infective Endocarditis Diagnosis and Management (15 papers), Pulmonary Hypertension Research and Treatments (14 papers) and Eosinophilic Disorders and Syndromes (13 papers). The work is most often cited by research in Transplantation (111 citations), Cardiology and Cardiovascular Medicine (706 citations), Surgery (1.1k citations), Epidemiology (806 citations) and Pulmonary and Respiratory Medicine (732 citations). D Métras has collaborated with scholars based in France, Ivory Coast and United States. Frequent co-authors include Bernard Kreitmann, Alberto Ribéri, Olivier Ghez, Alain Fraisse, M Noirclerc, Gilbert Habib, Frédéric Collart, Horéa Feier, François Kerbaul and Thierry Mesana. Their work appears in journals such as The Annals of Thoracic Surgery, European Journal of Cardio-Thoracic Surgery, Journal of Thoracic and Cardiovascular Surgery, Circulation and The Thoracic and Cardiovascular Surgeon.

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.

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