Marie-Noëlle Labour

755 citations
22 papers · 594 indexed · h-index 14
Topics
3D Printing in Biomedical Research (5 papers)Electrospun Nanofibers in Biomedical Applications (5 papers)Tissue Engineering and Regenerative Medicine (4 papers)
Partner nations
FranceIrelandCanada

In The Last Decade

Marie-Noëlle Labour

21 papers receiving 588 citations

Peers

Marie-Noëlle Labour
Comparison fields: 5 of 87
  • Biomedical Engineering 218
  • Molecular Biology 214
  • Biomaterials 155
  • Surgery 108
  • Cell Biology 89
Replace Thanh Chung with:
Thanh Chung Vietnam
Sujin Lee South Korea
Eunyi Jeon South Korea
Jinping Xu United States
Kelly Sullivan United States
Raji R. Nagalla United States
Bei Chang China
Chau‐Zen Wang Taiwan
Tilo Dehne Germany
Marie-Noëlle Labour relative to Thanh Chung Vietnam Thanh Chung's profile →
Citations per field
00.5×1.5×
Thanh Chung · 1×
Citations per year

Countries citing papers authored by Marie-Noëlle Labour

Since Specialization
Citations

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

Fields of papers citing papers by Marie-Noëlle Labour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie-Noëlle Labour. 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 Marie-Noëlle Labour. The network helps show where Marie-Noëlle Labour may publish in the future.

Co-authorship network of co-authors of Marie-Noëlle Labour

This figure shows the co-authorship network connecting the top 25 collaborators of Marie-Noëlle Labour. A scholar is included among the top collaborators of Marie-Noëlle Labour based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marie-Noëlle Labour. Marie-Noëlle Labour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 6
5 13
6 17
7 64
8 78
9 92
10 58
11 2
12 4
13 18
14 13
15 72
16 49
17 28
18 21
19 26
20 14

About Marie-Noëlle Labour

Marie-Noëlle Labour is a scholar working on Biomaterials, Molecular Medicine and Urology, having authored 22 papers that have together received 594 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Biomaterials (155 citations), Cell Biology (89 citations) and Biomedical Engineering (218 citations). Marie-Noëlle Labour has collaborated with scholars based in France, Ireland and Canada. Frequent co-authors include David A. Hoey, Mathieu Riffault, Gillian P. Johnson, Rachida Aid, Didier Letourneur, Søren T. Christensen, Emmanuel Belamie, Véronique Ollivier, Teresa Simón‐Yarza and Sankalp Agarwal. Their work appears in journals such as Biomaterials, Langmuir and Scientific Reports.

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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