Béatrice Labat

725 citations
30 papers · 595 · h-index 14

Impact in

Papers in

Béatrice Labat

27 papers receiving 580 citations

Peers

Béatrice Labat
Comparison fields: 5 of 90
  • Surfaces, Coatings and Films 117
  • Biomaterials 146
  • Molecular Medicine 49
  • Biomedical Engineering 282
  • Cell Biology 93
Replace Varvara Gribova with:
Varvara Gribova France
Hongji Yan Sweden
Afshin Sohrabi United States
Helena Knopf‐Marques France
Daniele Pezzoli Italy
Irene Lara‐Sáez Ireland
Maria Cornelissen Belgium
Pimpon Uttayarat Thailand
Kimberley Merrett Canada
Rossella Calabrese United States
Béatrice Labat relative to Varvara Gribova France Varvara Gribova's profile →
Citations per field
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Citations per year

Countries citing papers authored by Béatrice Labat

Since Specialization
Citations

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

Fields of papers citing papers by Béatrice Labat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006114
2 199547
3 200547
4 201839
5 201439
6 201133
7 202031
8 202030
9 201229
10 201227
11 201720
12 201120
13 202417
14 199916
15 202112
16 200611
17 201611
18 202110
19 20239
20 20009

About Béatrice Labat

Béatrice Labat is a scholar working on Biomedical Engineering, Surfaces, Coatings and Films, Cell Biology, Biomaterials and Surgery, having authored 30 papers that have together received 595 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (9 papers), Polymer Surface Interaction Studies (8 papers), Cellular Mechanics and Interactions (7 papers), 3D Printing in Biomedical Research (4 papers), Orthopaedic implants and arthroplasty (4 papers), Antimicrobial Peptides and Activities (2 papers), Nanocomposite Films for Food Packaging (2 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (117 citations), Biomaterials (146 citations), Molecular Medicine (49 citations), Biomedical Engineering (282 citations) and Cell Biology (93 citations). Béatrice Labat has collaborated with scholars based in France, Germany and Hong Kong. Frequent co-authors include Guy Ladam, Annette Chamson, Didier Le Cerf, Luc Picton, Virginie Dulong, Mustapha Zidi, Bruno Louis, Valérie Laurent, Emmanuelle Planus and Rédouane Fodil. Their work appears in journals such as Journal of Biomedical Materials Research, Biomacromolecules, Soft Matter, Acta Biomaterialia and Journal of Biomedical Materials Research Part A.

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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