Nicolas Levoin

658 citations
37 papers · 453 · h-index 12

Impact in

Papers in

    • Receptor Mechanisms and Signaling 13
    • Chemical Synthesis and Analysis 7
    • Cell death mechanisms and regulation 6
    • Pharmacological Receptor Mechanisms and Effects 3
    • Mast cells and histamine 6

Nicolas Levoin

35 papers receiving 430 citations

Peers

Nicolas Levoin
Comparison fields: 5 of 82
  • Immunology 107
  • Organic Chemistry 121
  • Molecular Biology 263
  • Health, Toxicology and Mutagenesis 45
  • Computational Theory and Mathematics 44
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Dennis M. Kraichely United States
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Citations per year

Countries citing papers authored by Nicolas Levoin

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Levoin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201158
2 201139
3 200235
4 200833
5 202031
6 200631
7 201026
8 201825
9 201119
10 200415
11 202013
12 201113
13 201311
14 201610
15 20029
16 20118
17 20138
18 20107
19 20156
20 20226

About Nicolas Levoin

Nicolas Levoin is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 453 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Chemical Synthesis and Analysis (7 papers), Mast cells and histamine (6 papers), Cell death mechanisms and regulation (6 papers), Computational Drug Discovery Methods (4 papers), Click Chemistry and Applications (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). The work is most often cited by research in Immunology (107 citations), Organic Chemistry (121 citations), Molecular Biology (263 citations), Health, Toxicology and Mutagenesis (45 citations) and Computational Theory and Mathematics (44 citations). Nicolas Levoin has collaborated with scholars based in France, India and Germany. Frequent co-authors include Mickaël Jean, Pierre van de Weghe, Patrick Legembre, Thierry Calmels, Marc Capet, Isabelle Berrebi‐Bertrand, Philippe Uriac, Patrick Netter, Jeanne‐Marie Lecomte and Jean‐Charles Schwartz. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry, European Journal of Medicinal Chemistry, Biochemical Pharmacology and Journal of Biological Chemistry.

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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