Luc d’Auriol

844 citations
14 papers · 701 · h-index 9

Impact in

Papers in

    • RNA and protein synthesis mechanisms 4
    • RNA Interference and Gene Delivery 2
    • Glycosylation and Glycoproteins Research 1
    • T-cell and Retrovirus Studies 2

Luc d’Auriol

14 papers receiving 678 citations

Peers

Luc d’Auriol
Comparison fields: 5 of 77
  • Genetics 291
  • Virology 47
  • Endocrinology, Diabetes and Metabolism 126
  • Immunology 159
  • Reproductive Medicine 57
Replace Joan Blanchette‐Mackie with:
Joan Blanchette‐Mackie United States
Susan A. Leonhardt United States
Mark D. Crew United States
Preeti M. Ismail Canada
José-Luis Castrillo United States
Ruth G. Kleinfeld United States
H. Loosfelt France
Wil T. Labruyère Netherlands
Diana S. Berard United States
Barbara Gorgoni United Kingdom
Luc d’Auriol relative to Joan Blanchette‐Mackie United States Joan Blanchette‐Mackie's profile →
Citations per field
00.5×2.9×
Joan Blanchette‐Mackie · 1×
Citations per year

Countries citing papers authored by Luc d’Auriol

Since Specialization
Citations

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

Fields of papers citing papers by Luc d’Auriol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luc d’Auriol. 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 Luc d’Auriol. The network helps show where Luc d’Auriol may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1987348
2 199565
3 198752
4 198548
5 199145
6 198845
7 198944
8 198718
9 19909
10 19938
11 19868
12 19876
13 19944
14 19821

About Luc d’Auriol

Luc d’Auriol is a scholar working on Molecular Biology, Immunology, Genetics, Virology and Ecology, Evolution, Behavior and Systematics, having authored 14 papers that have together received 701 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Vector-Borne Animal Diseases (2 papers), RNA Interference and Gene Delivery (2 papers), T-cell and Retrovirus Studies (2 papers), Animal Disease Management and Epidemiology (2 papers), Erythrocyte Function and Pathophysiology (2 papers), HIV Research and Treatment (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Genetics (291 citations), Virology (47 citations), Endocrinology, Diabetes and Metabolism (126 citations), Immunology (159 citations) and Reproductive Medicine (57 citations). Luc d’Auriol has collaborated with scholars based in France, Canada and Cameroon. Frequent co-authors include Francis Galibert, Anne Guiochon‐Mantel, F. Fridlansky, Edwin Milgröm, M. Atger, Hugues Loosfelt, Micheline Misrahi, Catherine Vaquero, Norberto Serpente and J CARTRON. Their work appears in journals such as European Journal of Biochemistry, Biochemical and Biophysical Research Communications, Virology, FEBS Letters and Annals of the New York Academy of Sciences.

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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