Philippe Labrune

8.3k citations
146 papers · 4.1k indexed · h-index 33

Philippe Labrune

142 papers receiving 3.9k citations

Peers

Philippe Labrune
Comparison fields: 5 of 106
  • Rheumatology 1.9k
  • Clinical Biochemistry 445
  • Genetics 1.4k
  • Pharmacy 228
  • Genetics 373
Replace Allan M. Lund with:
Allan M. Lund Denmark
Gabor E. Linthorst Netherlands
D. M. Danks Australia
Sharda G. Sabnis United States
Petros Syrris United Kingdom
Lois J. Arend United States
Swapan K. Nath United States
Nadir R. Farid Canada
Bouke P. C. Hazenberg Netherlands
Chang‐Youh Tsai Taiwan
Philippe Labrune relative to Allan M. Lund Denmark Allan M. Lund's profile →
Citations per field
00.5×10×20×32.6×
Allan M. Lund · 1×
Citations per year

Countries citing papers authored by Philippe Labrune

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Labrune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20221
3 202135
4 201713
5 201411
6 201334
7 201332
8 201335
9 2011131
10 20117
11 201023
12 200812
13 20053
14 20031
15 199932
16 199920
17 19974
18 199731
19 199696
20 199210

About Philippe Labrune

Philippe Labrune is a scholar working on Rheumatology, Clinical Biochemistry, Pediatrics, Perinatology and Child Health, Genetics and Genetics, having authored 146 papers that have together received 4.1k indexed citations. Recurring topics across this work include Glycogen Storage Diseases and Myoclonus (54 papers), Carbohydrate Chemistry and Synthesis (31 papers), Lysosomal Storage Disorders Research (29 papers), Neonatal Health and Biochemistry (22 papers), Genetics and Neurodevelopmental Disorders (18 papers), Metabolism and Genetic Disorders (14 papers), Heme Oxygenase-1 and Carbon Monoxide (12 papers) and Prenatal Screening and Diagnostics (11 papers). The work is most often cited by research in Rheumatology (1.9k citations), Clinical Biochemistry (445 citations), Genetics (1.4k citations), Pharmacy (228 citations) and Genetics (373 citations). Philippe Labrune has collaborated with scholars based in France, Netherlands and United Kingdom. Frequent co-authors include James V. Leonard, Gepke Visser, Kurt Ullrich, Jan Peter Rake, Gerrit Smit, M Odièvre, Peter Smit, Pascale Trioche, François Petit and Shimon Moses. Their work appears in journals such as European Journal of Pediatrics, Journal of Pediatric Gastroenterology and Nutrition, Journal of Inherited Metabolic Disease, Molecular Genetics and Metabolism and European Journal of Human Genetics.

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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