Anne Imberty

23.2k citations
371 papers · 18.0k indexed · 4 hit papers · h-index 74

Impact in

Papers in

Anne Imberty

365 papers receiving 17.7k citations

Hit Papers

Glycomimetics versus Multivalent Glycoconjugates for the Design of High Affinity Lectin Ligands 2014 · 457 citations
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Peers

Anne Imberty
Comparison fields: 5 of 165
  • Organic Chemistry 5.7k
  • Molecular Biology 11.7k
  • Endocrinology 825
  • Microbiology 906
  • Biotechnology 1.2k
Replace Anne Dell with:
Anne Dell United Kingdom
Jesús Jiménez‐Barbero Spain
Peter H. Seeberger Germany
Neil A. R. Gow United Kingdom
Nathan Sharon Israel
Geert‐Jan Boons United States
Markus Aebi Switzerland
Johannis P. Kamerling Netherlands
Ben de Kruijff Netherlands
Peng George Wang United States
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Citations per field
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Citations per year

Countries citing papers authored by Anne Imberty

Since Specialization
Citations

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

Fields of papers citing papers by Anne Imberty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20240
5 20234
6 202212
7 20228
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9 202214
10 202117
11 20209
12 202020
13 20195
14 201921
15 201826
16 201830
17 201713
18 201625
19 2014109
20
Structure-function analysis of the human sialyltransferase ST3Gal I - Role of N-glycosylation and a novel conserved sialylmotif
20041

About Anne Imberty

Anne Imberty is a scholar working on Endocrinology, Organic Chemistry, Molecular Biology, Biotechnology and Microbiology, having authored 371 papers that have together received 18.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (222 papers), Carbohydrate Chemistry and Synthesis (153 papers), Bacteriophages and microbial interactions (57 papers), Monoclonal and Polyclonal Antibodies Research (37 papers), Escherichia coli research studies (34 papers), Galectins and Cancer Biology (32 papers), Enzyme Structure and Function (24 papers) and Enzyme Production and Characterization (22 papers). The work is most often cited by research in Organic Chemistry (5.7k citations), Molecular Biology (11.7k citations), Endocrinology (825 citations), Microbiology (906 citations) and Biotechnology (1.2k citations). Anne Imberty has collaborated with scholars based in France, Germany and Czechia. Frequent co-authors include Annabelle Varrot, Michaela Wimmerová, Christelle Breton, Serge Pérez, Serge Pérez, Hugues Lortat‐Jacob, Samy Cecioni, Jaroslav Koča, Sébastien Vidal and Serge Pérez. Their work appears in journals such as Journal of Biological Chemistry, Glycobiology, Organic & Biomolecular Chemistry, Chemistry - A European Journal and Carbohydrate Research.

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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