Philippe Arnaud

6.1k citations
143 papers · 4.9k · h-index 38

Impact in

Papers in

    • Epigenetics and DNA Methylation 31
    • Protein purification and stability 16
    • Glycosylation and Glycoproteins Research 13
    • Genetic Syndromes and Imprinting 27

Philippe Arnaud

140 papers receiving 4.7k citations

Peers

Philippe Arnaud
Comparison fields: 5 of 147
  • Genetics 1.3k
  • Pediatrics, Perinatology and Child Health 717
  • Molecular Biology 2.8k
  • Pharmaceutical Science 232
  • Cancer Research 356
Replace Jack‐Michel Renoir with:
Jack‐Michel Renoir France
Frances Jane Sharom Canada
Liesbeth van Deemter Netherlands
Els Wagenaar Netherlands
André Trouet Belgium
Sanjoy Kumar Das United States
Amit V. Pandey Switzerland
Tip W. Loo Canada
Håkan Eriksson Sweden
Huy Ong Canada
Philippe Arnaud relative to Jack‐Michel Renoir France Jack‐Michel Renoir's profile →
Citations per field
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Citations per year

Countries citing papers authored by Philippe Arnaud

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Arnaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002219
2 2006209
3 2012174
4 2015163
5 1982150
6 2003123
7 2007122
8 2006120
9 2001116
10 2009113
11 2016109
12 1982103
13 2003101
14 1996100
15 201095
16 197794
17 200592
18 201688
19 198080
20 201077

About Philippe Arnaud

Philippe Arnaud is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Cancer Research and Hematology, having authored 143 papers that have together received 4.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (31 papers), Genetic Syndromes and Imprinting (27 papers), Prenatal Screening and Diagnostics (21 papers), Protein purification and stability (16 papers), Glycosylation and Glycoproteins Research (13 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Protease and Inhibitor Mechanisms (9 papers) and Chromosomal and Genetic Variations (8 papers). The work is most often cited by research in Genetics (1.3k citations), Pediatrics, Perinatology and Child Health (717 citations), Molecular Biology (2.8k citations), Pharmaceutical Science (232 citations) and Cancer Research (356 citations). Philippe Arnaud has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Elisabetta Gianazza, Robert Feil, Gavin Kelsey, Naïma Zerrouk, Amandine Henckel, Jean‐Marc Deragon, Colette Chapuis‐Cellier, Robert M. Galbraith, David Monk and Gudrun E. Moore. Their work appears in journals such as Human Molecular Genetics, Biochemical Journal, Electrophoresis, PLoS Genetics and Molecular and Cellular Biology.

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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