Anne Labarre

419 citations
4 papers · 108 · h-index 4

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 1
    • Biochemical and Molecular Research 1
    • Protein Structure and Dynamics 1
    • Click Chemistry and Applications 2

Anne Labarre

4 papers receiving 106 citations

Peers

Anne Labarre
Comparison fields: 5 of 37
  • Computational Theory and Mathematics 58
  • Infectious Diseases 37
  • Organic Chemistry 35
  • Biomaterials 12
  • Molecular Biology 46
Replace Christopher Hennecker with:
Christopher Hennecker Canada
Deping Chai United States
Ankur Omer India
Souradeep Basu United Kingdom
Laura Schäkel Germany
Honggun Lee South Korea
Jia Yi Fong Singapore
Aaron Keeley Hungary
Gary O’Donovan United States
Mareike M. Wiedmann United Kingdom
Anne Labarre relative to Christopher Hennecker Canada Christopher Hennecker's profile →
Citations per field
00.5×1.5×
Christopher Hennecker · 1×
Citations per year

Countries citing papers authored by Anne Labarre

Since Specialization
Citations

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

Fields of papers citing papers by Anne Labarre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Anne Labarre, 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 Labarre Line = papers co-authored together Anne Labarre links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 202162
2 201735
3 20227
4 20224

About Anne Labarre

Anne Labarre is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Surgery and Cellular and Molecular Neuroscience, having authored 4 papers that have together received 108 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Click Chemistry and Applications (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cardiac Structural Anomalies and Repair (1 paper), Biochemical and Molecular Research (1 paper), Protein Structure and Dynamics (1 paper), Neuropeptides and Animal Physiology (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (58 citations), Infectious Diseases (37 citations), Organic Chemistry (35 citations), Biomaterials (12 citations) and Molecular Biology (46 citations). Anne Labarre has collaborated with scholars based in Canada and Switzerland. Frequent co-authors include Bastien Castagner, Xiangang Huang, Jean‐Christophe Leroux, Nicolas Moitessier, Anthony Mittermaier, Jessica Plescia, Alexander S. Wahba, Christopher Hennecker, Xiaocong Zhang and T.M. Schmeing. Their work appears in journals such as European Journal of Medicinal Chemistry, ACS Applied Materials & Interfaces and Journal of Chemical Information and Modeling.

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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