A Raisonnier

807 citations
33 papers · 670 · h-index 15

Impact in

Papers in

A Raisonnier

32 papers receiving 635 citations

Peers

A Raisonnier
Comparison fields: 5 of 73
  • Biochemistry 70
  • Endocrinology, Diabetes and Metabolism 121
  • Rheumatology 93
  • Neurology 86
  • Epidemiology 162
Replace Isabel Beucler with:
Isabel Beucler France
A. Iron France
Leighton R. James United States
Seung Ho Hong South Korea
Yukihiro Nagai Japan
R A Norum United States
Norito Yagihashi Japan
Kazuhito Yamashita Japan
Yumiko Nakagawa-Toyama Japan
E.I. Schwartz Russia
A Raisonnier relative to Isabel Beucler France Isabel Beucler's profile →
Citations per field
00.5×3.7×
Isabel Beucler · 1×
Citations per year

Countries citing papers authored by A Raisonnier

Since Specialization
Citations

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

Fields of papers citing papers by A Raisonnier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982127
2 200661
3
High frequency of the apolipoprotein E *4 allele in African pygmies and most of the African populations in sub-Saharan Africa.
199761
4 200258
5 200735
6 199534
7 199232
8 197028
9 199627
10 199824
11 199916
12 199215
13 199515
14 198114
15
Duplication of the apolipoprotein C-I gene occurred about forty million years ago.
199114
16
[Salivary, urinary and plasma thiocyanate in smokers and non-smokers].
198312
17 198212
18 198212
19 196911
20 19899

About A Raisonnier

A Raisonnier is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 33 papers that have together received 670 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Cancer, Lipids, and Metabolism (5 papers), Lipid metabolism and biosynthesis (4 papers), Cholesterol and Lipid Metabolism (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Diabetes and associated disorders (3 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Biochemistry (70 citations), Endocrinology, Diabetes and Metabolism (121 citations), Rheumatology (93 citations), Neurology (86 citations) and Epidemiology (162 citations). A Raisonnier has collaborated with scholars based in France, Cameroon and Puerto Rico. Frequent co-authors include Francis Galibert, D. Brault, Jean‐Claude Chuat, R. Infante, Jean‐Pierre Lagarde, Leïla Zekraoui, Jacqueline Etienne, Lydie Noé, G Lucotte and Nathalie Gérard. Their work appears in journals such as Gene, Atherosclerosis, Clinica Chimica Acta, Journal of Medical Genetics and Neurology.

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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