D. Raulais

1.4k citations
47 papers · 1.2k · h-index 22

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Angiogenesis and VEGF in Cancer 4
    • Fibroblast Growth Factor Research 4
    • Chemical Synthesis and Analysis 3
    • Proteoglycans and glycosaminoglycans research 14

D. Raulais

47 papers receiving 1.2k citations

Peers

D. Raulais
Comparison fields: 5 of 90
  • Immunology and Allergy 149
  • Cell Biology 367
  • Cancer Research 178
  • Developmental Neuroscience 48
  • Molecular Biology 780
Replace Keiko Fujikawa with:
Keiko Fujikawa Japan
Karine Peyrollier United States
Sucai Dong United States
Patrick Auguste France
Federico Galvagni Italy
Norbert Schuster Germany
S. Massoglia United States
Célio Pouponnot France
J K Anderson United States
Laura Gualandi Sweden
D. Raulais relative to Keiko Fujikawa Japan Keiko Fujikawa's profile →
Citations per field
00.5×1.5×2.4×
Keiko Fujikawa · 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200196
2 198790
3 198971
4 199867
5 200167
6 199265
7 199056
8 199152
9 197649
10 199148
11 200346
12 200241
13 200241
14 199238
15 198938
16 196736
17 199231
18 199127
19 196927
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 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (14 papers), Cell Adhesion Molecules Research (8 papers), Glycosylation and Glycoproteins Research (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Fibroblast Growth Factor Research (4 papers), HER2/EGFR in Cancer Research (3 papers), Chemical Synthesis and Analysis (3 papers) and Phytochemistry and Biological Activities (3 papers). The work is most often cited by research in Immunology and Allergy (149 citations), Cell Biology (367 citations), Cancer Research (178 citations), Developmental Neuroscience (48 citations) and Molecular Biology (780 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, Delphine Duprez, Werner Herz, M.F. Counis and Anton Wellstein. Their work appears in journals such as European Journal of Biochemistry, Phytochemistry, Experimental Cell Research, Biochemical and Biophysical Research Communications and The International Journal of Developmental Biology.

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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