Patrick Bailly

722 citations
37 papers · 543 · h-index 10

Impact in

Papers in

Patrick Bailly

34 papers receiving 526 citations

Peers

Patrick Bailly
Comparison fields: 5 of 67
  • Hematology 127
  • Cardiology and Cardiovascular Medicine 205
  • Physiology 95
  • Genetics 38
  • Cellular and Molecular Neuroscience 63
Replace Tim J. Kemp with:
Tim J. Kemp United Kingdom
Aviva Levitas Israel
Hirotoshi Hamaguchi Japan
Anjali Kumar United States
G Péri Italy
P. Petiot France
Hatsumi Yamamoto Japan
Annelore Ittenson Germany
Thilo Witsch Germany
Soumitra Tole Canada
Patrick Bailly relative to Tim J. Kemp United Kingdom Tim J. Kemp's profile →
Citations per field
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Citations per year

Countries citing papers authored by Patrick Bailly

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Bailly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Bailly, 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 Patrick Bailly Line = papers co-authored together Patrick Bailly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991124
2 1993113
3 199676
4 199236
5 199527
6 199726
7 201423
8 199816
9 201516
10 199810
11 19939
12 19987
13 20156
14 19945
15 20165
16
Primary endotheliosarcoma of the thoracic aorta.
19895
17
[Brucella endocarditis caused by reinfection of an aortic Starr valve. Apropos of a case with a favorable development after valvular replacement].
19885
18 20084
19 19933
20 19973

About Patrick Bailly

Patrick Bailly is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology, having authored 37 papers that have together received 543 indexed citations. Recurring topics across this work include Tracheal and airway disorders (6 papers), Blood groups and transfusion (5 papers), Infective Endocarditis Diagnosis and Management (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Congenital Heart Disease Studies (4 papers) and Aortic Disease and Treatment Approaches (3 papers). The work is most often cited by research in Hematology (127 citations), Cardiology and Cardiovascular Medicine (205 citations), Physiology (95 citations), Genetics (38 citations) and Cellular and Molecular Neuroscience (63 citations). Patrick Bailly has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Jean‐Pierre Bénitah, Jean Philippe Da Ponte, Yves Colin, Carmen Delgado, Caroline Le Van Kim, Jean‐Pierre Cartron, Baya Chérif‐Zahar, Marie‐Geneviève Mattéi, Ana M. Gómez and P Lorente. Their work appears in journals such as Blood, The Annals of Thoracic Surgery, Circulation, European Stroke Journal and Annals of Vascular Surgery.

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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