E. Bettler

787 citations
22 papers · 595 · h-index 14

Impact in

Papers in

    • Genomics and Phylogenetic Studies 5
    • Glycosylation and Glycoproteins Research 5
    • Protein Structure and Dynamics 3
    • Receptor Mechanisms and Signaling 3
    • Machine Learning in Bioinformatics 2

E. Bettler

22 papers receiving 583 citations

Peers

E. Bettler
Comparison fields: 5 of 77
  • Hepatology 106
  • Biotechnology 53
  • Molecular Biology 349
  • Spectroscopy 53
  • Virology 15
Replace Maurizio Sollazzo with:
Maurizio Sollazzo Italy
Louise Thauvette Canada
Eric A. Toth United States
Bernard Bayard France
Ragunath Singaravelu Canada
Nien‐Jen Hu Taiwan
Tadatoshi Kinoshita Japan
Tiao‐Yin Lin Taiwan
Dhaval N. Gosalia United States
Kumar Singh Saikatendu United States
E. Bettler relative to Maurizio Sollazzo Italy Maurizio Sollazzo's profile →
Citations per field
00.5×6.8×
Maurizio Sollazzo · 1×
Citations per year

Countries citing papers authored by E. Bettler

Since Specialization
Citations

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

Fields of papers citing papers by E. Bettler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998126
2 2006116
3 200545
4 201832
5 200432
6 201028
7 202127
8 199927
9 200827
10 201919
11 200218
12 200318
13 200516
14 200314
15 201813
16 20078
17 20038
18 20037
19 20095
20 20094

About E. Bettler

E. Bettler is a scholar working on Molecular Biology, Genetics, Spectroscopy, Organic Chemistry and Surgery, having authored 22 papers that have together received 595 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Glycosylation and Glycoproteins Research (5 papers), Protein Structure and Dynamics (3 papers), Receptor Mechanisms and Signaling (3 papers), Microbial Metabolites in Food Biotechnology (2 papers), Machine Learning in Bioinformatics (2 papers), Computational Drug Discovery Methods (2 papers) and Xenotransplantation and immune response (2 papers). The work is most often cited by research in Hepatology (106 citations), Biotechnology (53 citations), Molecular Biology (349 citations), Spectroscopy (53 citations) and Virology (15 citations). E. Bettler has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Anne Imberty, Christelle Breton, David H. Joziasse, Roberto A. Geremia, Catherine Moali, Sandrine Vadon‐Le Goff, Sara Fasmer Hansen, Søren Balling Engelsen, Gilbert Deléage and Nicolas Garnier. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Colloids and Surfaces A Physicochemical and Engineering Aspects, Journal of Biomolecular NMR and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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