M. Rabaud

892 citations
56 papers · 792 · h-index 16

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Collagen: Extraction and Characterization
    • Silk-based biomaterials and applications
    • Protease and Inhibitor Mechanisms

Papers in

M. Rabaud

53 papers receiving 749 citations

Peers

M. Rabaud
Comparison fields: 5 of 87
  • Biomaterials 242
  • Cancer Research 114
  • Genetics 171
  • Biotechnology 52
  • Hematology 59
Replace Cezary Kucharski with:
Cezary Kucharski Canada
In San Kim South Korea
Minna Nokelainen Finland
Walter D. Holder United States
Stewart D. Chipman United States
Julie Devallière United States
Wenzhong Li China
Cinzia Zucchini Italy
Jamal S. Lewis United States
B Odermatt Switzerland
M. Rabaud relative to Cezary Kucharski Canada Cezary Kucharski's profile →
Citations per field
00.5×3.5×
Cezary Kucharski · 1×
Citations per year

Countries citing papers authored by M. Rabaud

Since Specialization
Citations

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

Fields of papers citing papers by M. Rabaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983140
2 198189
3 199541
4 199237
5 199336
6 200036
7 199230
8 198728
9 198227
10 199625
11 199522
12 199121
13 198520
14 199019
15 198716
16 198915
17 199615
18 198614
19 198911
20 199210

About M. Rabaud

M. Rabaud is a scholar working on Genetics, Cancer Research, Surgery, Biomaterials and Molecular Biology, having authored 56 papers that have together received 792 indexed citations. Recurring topics across this work include Connective tissue disorders research (20 papers), Protease and Inhibitor Mechanisms (12 papers), Electrospun Nanofibers in Biomedical Applications (8 papers), Enzyme Production and Characterization (7 papers), Blood properties and coagulation (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Hemostasis and retained surgical items (4 papers) and Bone Tissue Engineering Materials (4 papers). The work is most often cited by research in Biomaterials (242 citations), Cancer Research (114 citations), Genetics (171 citations), Biotechnology (52 citations) and Hematology (59 citations). M. Rabaud has collaborated with scholars based in France, Türkiye and Spain. Frequent co-authors include F. Lefèbvre, H Bricaud, Claude Des̀granges, G Razaka, Jan Balzarini, Erik De Clercq, Laurence Bordenave, Reine Bareille, G. Daculsi and F. Rouais. Their work appears in journals such as Biomaterials, Journal of Materials Science Materials in Medicine, Biochemical Pharmacology, Connective Tissue Research and Clinica Chimica Acta.

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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