Aurélien Philippe

6.7k citations
29 papers · 222 · h-index 10

Impact in

Papers in

    • COVID-19 Clinical Research Studies 8
    • Infective Endocarditis Diagnosis and Management 3
    • Adipokines, Inflammation, and Metabolic Diseases 2

Aurélien Philippe

24 papers receiving 212 citations

Peers

Aurélien Philippe
Comparison fields: 5 of 65
  • Internal Medicine 20
  • Hematology 25
  • Genetics 21
  • Infectious Diseases 33
  • Cardiology and Cardiovascular Medicine 35
Replace Michelle Teodoro Alves with:
Michelle Teodoro Alves Brazil
Asmita Pant United States
Alexandre João Portugal
Matthias Hammwöhner Germany
Sabrina H. van Ierssel Belgium
Gang Han China
Ety Shaoul Israel
Monika Aržanauskaitė United Kingdom
Anna Lam Canada
Hideki Koike Japan
Aurélien Philippe relative to Michelle Teodoro Alves Brazil Michelle Teodoro Alves's profile →
Citations per field
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Michelle Teodoro Alves · 1×
Citations per year

Countries citing papers authored by Aurélien Philippe

Since Specialization
Citations

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

Fields of papers citing papers by Aurélien Philippe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202141
2 199935
3 202324
4 202021
5 202314
6 202211
7 202110
8 20219
9 20229
10 20209
11 20218
12 20215
13 20234
14 20224
15 20234
16 20213
17 20232
18 20222
19 20242
20 20231

About Aurélien Philippe

Aurélien Philippe is a scholar working on Infectious Diseases, Epidemiology, Internal Medicine, Surgery and Neurology, having authored 29 papers that have together received 222 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Venous Thromboembolism Diagnosis and Management (5 papers), Long-Term Effects of COVID-19 (4 papers), Mechanical Circulatory Support Devices (3 papers), COVID-19 and healthcare impacts (3 papers), Infective Endocarditis Diagnosis and Management (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Internal Medicine (20 citations), Hematology (25 citations), Genetics (21 citations), Infectious Diseases (33 citations) and Cardiology and Cardiovascular Medicine (35 citations). Aurélien Philippe has collaborated with scholars based in France, Czechia and United States. Frequent co-authors include David M. Smadja, Nicolas Gendron, Pascale Gaussem, Georges Jourdi, Christilla Bachelot‐Loza, Marie Lordkipanidzé, Richard Chocron, Gérard S. Chetrite, F Wright and Jörge R. Pasqualini. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Angiogenesis, ASAIO Journal, Biochimie and Annals of Intensive Care.

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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