D. Raulais

1.4k citations
49 papers · 1.3k · h-index 22

Impact in

Papers in

    • Fibroblast Growth Factor Research 5
    • Angiogenesis and VEGF in Cancer 3
    • Proteoglycans and glycosaminoglycans research 14

D. Raulais

48 papers receiving 1.2k citations

Peers

D. Raulais
Comparison fields: 5 of 87
  • Immunology and Allergy 130
  • Cell Biology 370
  • Developmental Neuroscience 49
  • Cancer Research 171
  • Molecular Biology 770
Replace Norbert Schuster with:
Norbert Schuster Germany
Karine Peyrollier United States
Célio Pouponnot France
S. Massoglia United States
Vera Fantl United Kingdom
Tatsuo Morimura Japan
Takatsune Shimizu Japan
Keiko Fujikawa Japan
Nancy L. Johnson United States
Dana M. Brantley United States
D. Raulais relative to Norbert Schuster Germany Norbert Schuster's profile →
Citations per field
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Norbert Schuster · 1×
Citations per year

Countries citing papers authored by D. Raulais

Since Specialization
Citations

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

Fields of papers citing papers by D. Raulais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001102
2 198795
3 198974
4 200168
5 199867
6 199265
7 199057
8 199154
9 197653
10 199149
11 200346
12 200246
13 199243
14 198943
15 200243
16 196740
17 199231
18 196930
19 199129
20 200225

About D. Raulais

D. Raulais is a scholar working on Molecular Biology, Cell Biology, Oncology, Immunology and Allergy and Cancer Research, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (14 papers), Cell Adhesion Molecules Research (8 papers), Fibroblast Growth Factor Research (5 papers), Phytochemistry and Biological Activities (4 papers), Sesquiterpenes and Asteraceae Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Immunology and Allergy (130 citations), Cell Biology (370 citations), Developmental Neuroscience (49 citations), Cancer Research (171 citations) and Molecular Biology (770 citations). D. Raulais has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Marc Vigny, Yves Courtois, Boussad Souttou, Frédéric Mascarelli, Nicole Carvalho, Lisa Oliver, Werner Herz, Delphine Duprez, M.F. Counis and Anton Wellstein. Their work appears in journals such as Phytochemistry, European Journal of Biochemistry, Biochemical and Biophysical Research Communications, Experimental Cell Research and Growth Factors.

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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