M Davril

830 citations
42 papers · 712 · h-index 16

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 9
    • Biochemical and Structural Characterization 5
    • Insect Resistance and Genetics 3
    • Protease and Inhibitor Mechanisms 16

M Davril

41 papers receiving 679 citations

Peers

M Davril
Comparison fields: 5 of 88
  • Cancer Research 95
  • Pulmonary and Respiratory Medicine 155
  • Biotechnology 44
  • Molecular Biology 341
  • Cell Biology 77
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A Woodman United Kingdom
Yves Bourbonnais Canada
Netty D. Zegers Netherlands
Jutta Schlepper‐Schäfer Germany
Bonnie Anderson Bray United States
Joseph M. Petroziello United States
Tiffany Huang United States
Jean‐Luc Servely France
Nathalie Carayol United States
Aniebrys Marrero Spain
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Citations per field
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Citations per year

Countries citing papers authored by M Davril

Since Specialization
Citations

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

Fields of papers citing papers by M Davril

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001147
2 1999103
3 199237
4 200037
5 198225
6 199224
7
Elastase derived elastin peptides: putative autoimmune targets in giant cell arteritis.
199723
8 199521
9 198520
10 199020
11 199519
12 197416
13 198916
14 198716
15 199715
16 198515
17 199114
18 198414
19 198513
20 198711

About M Davril

M Davril is a scholar working on Molecular Biology, Cancer Research, Biotechnology, Genetics and Organic Chemistry, having authored 42 papers that have together received 712 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (16 papers), Glycosylation and Glycoproteins Research (9 papers), Enzyme Production and Characterization (9 papers), Connective tissue disorders research (7 papers), Biochemical and Structural Characterization (5 papers), Carbohydrate Chemistry and Synthesis (5 papers), Peptidase Inhibition and Analysis (5 papers) and Insect Resistance and Genetics (3 papers). The work is most often cited by research in Cancer Research (95 citations), Pulmonary and Respiratory Medicine (155 citations), Biotechnology (44 citations), Molecular Biology (341 citations) and Cell Biology (77 citations). M Davril has collaborated with scholars based in France, Tunisia and Canada. Frequent co-authors include Isabelle Van Seuningen, G Lamblin, Nicole Houdret, Viviane Dumur, Anne Laine, Pascal Roussel, Kia‐Ki Han, J.J. Lafitte, P. Humbert and C. Galabert. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biochimie, Biochemical Journal, Electrophoresis and Biomedical Chromatography.

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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