Maxence Noël

425 citations
20 papers · 290 · h-index 10

Impact in

    • Glycosylation and Glycoproteins Research
    • Proteoglycans and glycosaminoglycans research
    • Cellular transport and secretion

Papers in

Maxence Noël

19 papers receiving 287 citations

Peers

Maxence Noël
Comparison fields: 5 of 57
  • Molecular Biology 237
  • Cell Biology 54
  • Organic Chemistry 97
  • Immunology 62
  • Biotechnology 16
Replace Pinou Lv with:
Pinou Lv China
Katarina Madunić Netherlands
Niek van Hilten Netherlands
Hankum Park South Korea
Edward N. Schmidt Canada
Gerhard Weißhaar Germany
Osama Albarbarawi United Kingdom
Anna R. Batt United States
Myung Jin Oh South Korea
Courtenay Hart United States
Maxence Noël relative to Pinou Lv China Pinou Lv's profile →
Citations per field
00.5×2×2.7×
Pinou Lv · 1×
Citations per year

Countries citing papers authored by Maxence Noël

Since Specialization
Citations

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

Fields of papers citing papers by Maxence Noël

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202274
2 201737
3 202226
4 201926
5 202019
6 201818
7 201614
8 201814
9 201812
10 201910
11 20229
12 20207
13 20236
14 20236
15 20244
16 20253
17 20242
18 20242
19 20251
20 20250

About Maxence Noël

Maxence Noël is a scholar working on Molecular Biology, Organic Chemistry, Cell Biology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 290 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (18 papers), Carbohydrate Chemistry and Synthesis (10 papers), Galectins and Cancer Biology (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cellular transport and secretion (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Ubiquitin and proteasome pathways (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Molecular Biology (237 citations), Cell Biology (54 citations), Organic Chemistry (97 citations), Immunology (62 citations) and Biotechnology (16 citations). Maxence Noël has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Richard D. Cummings, Robert G. Mealer, Anne Harduin‐Lepers, Jordan W. Smoller, Cédric Lion, Christophe Biot, Murat Çetinbaş, Sarah Williams, Yann Guérardel and Ruslan I. Sadreyev. Their work appears in journals such as Glycobiology, International Journal of Molecular Sciences, FEBS Journal, Molecular Psychiatry and Redox 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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