Stéphane Labialle

847 citations
28 papers · 640 · h-index 15

Impact in

  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms
    • Ocular Oncology and Treatments

Papers in

    • Drug Transport and Resistance Mechanisms 7
    • Genetic Syndromes and Imprinting 7

Stéphane Labialle

27 papers receiving 626 citations

Peers

Stéphane Labialle
Comparison fields: 5 of 46
  • Oncology 164
  • Ophthalmology 49
  • Genetics 88
  • Cancer Research 37
  • Molecular Biology 80
Replace Haixi Miao with:
Haixi Miao United States
S.H. Kidson South Africa
Ruben Boers Netherlands
Aren E. Marshall Canada
Dawn Coverley United Kingdom
Tae Jun Lee United States
Anoosheh Ebaee United States
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Walid N. Moghrabi Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by Stéphane Labialle

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Labialle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002147
2 201488
3 200562
4 201637
5 200429
6 200526
7 200720
8 201120
9 202120
10 200519
11 201919
12 200518
13 202118
14 200817
15 202215
16 200814
17 200212
18 202412
19 20049
20 20139

About Stéphane Labialle

Stéphane Labialle is a scholar working on Oncology, Genetics, Ophthalmology, Molecular Biology and Immunology, having authored 28 papers that have together received 640 indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (7 papers), Drug Transport and Resistance Mechanisms (7 papers), Ocular Oncology and Treatments (3 papers), SARS-CoV-2 detection and testing (1 paper), RNA Research and Splicing (1 paper), Genomics and Chromatin Dynamics (1 paper), Pain Mechanisms and Treatments (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Oncology (164 citations), Ophthalmology (49 citations), Genetics (88 citations), Cancer Research (37 citations) and Molecular Biology (80 citations). Stéphane Labialle has collaborated with scholars based in France, Canada and United States. Frequent co-authors include L. Gayet, Loris G. Baggetto, Dominique Rigal, Jérôme Cavaillé, Guila Dayan, Virginie Marty, Marie‐Line Bortolin‐Cavaillé, Stéphane Barakat, Bruno Charpentier and Jean‐Philippe Pradère. Their work appears in journals such as Human Molecular Genetics, Nucleic Acids Research, BioEssays, Genes Brain & Behavior and Nature Communications.

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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