Béatrice Loriod

2.8k citations
54 papers · 1.9k · h-index 23

Impact in

Papers in

    • Gene expression and cancer classification 10
    • Molecular Biology Techniques and Applications 7
    • Single-cell and spatial transcriptomics 6
    • Bioinformatics and Genomic Networks 4
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 5

Béatrice Loriod

53 papers receiving 1.9k citations

Peers

Béatrice Loriod
Comparison fields: 5 of 123
  • Biological Psychiatry 122
  • Cancer Research 410
  • Behavioral Neuroscience 57
  • Immunology 326
  • Molecular Biology 1.0k
Replace Pekka Ellonen with:
Pekka Ellonen Finland
Gwen Lomberk United States
Dominic Schmidt United Kingdom
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Xiaodong Shu China
Eric E. Bardes United States
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Citations per field
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Citations per year

Countries citing papers authored by Béatrice Loriod

Since Specialization
Citations

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

Fields of papers citing papers by Béatrice Loriod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006188
2 2012177
3 2004144
4 1999137
5 2014117
6 2003101
7 200596
8 201383
9 200272
10 200466
11 201660
12 201052
13 201650
14 199949
15 200445
16 201041
17 200438
18 200533
19 200231
20 201131

About Béatrice Loriod

Béatrice Loriod is a scholar working on Molecular Biology, Immunology, Epidemiology, Cancer Research and Pathology and Forensic Medicine, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Gene expression and cancer classification (10 papers), Molecular Biology Techniques and Applications (7 papers), Single-cell and spatial transcriptomics (6 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Bioinformatics and Genomic Networks (4 papers), Acute Myeloid Leukemia Research (3 papers) and Insect symbiosis and bacterial influences (3 papers). The work is most often cited by research in Biological Psychiatry (122 citations), Cancer Research (410 citations), Behavioral Neuroscience (57 citations), Immunology (326 citations) and Molecular Biology (1.0k citations). Béatrice Loriod has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Catherine Nguyen, François Bertucci, Daniel Birnbaum, Samuel Granjeaud, Denis Puthier, Aurélie Bergon, François Féron, Kévin Baranger, Véréna Landel and Rémi Houlgatte. Their work appears in journals such as Oncogene, PLoS ONE, Blood, Molecular and Cellular Biochemistry and BMC Genomics.

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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