Alexis Duringer

402 citations
6 papers · 246 · h-index 4

Impact in

Papers in

    • CRISPR and Genetic Engineering 6
    • Advanced biosensing and bioanalysis techniques 2
    • RNA and protein synthesis mechanisms 1
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Pluripotent Stem Cells Research 1
    • Plant Virus Research Studies 2

Alexis Duringer

5 papers receiving 243 citations

Peers

Alexis Duringer
Comparison fields: 5 of 42
  • Business and International Management 21
  • Aging 15
  • Molecular Biology 230
  • Genetics 61
  • Insect Science 17
Replace Soh Ishiguro with:
Soh Ishiguro Japan
Christophe Perez France
Changchang Xin China
Eric Edward Bryant United States
Joshua F. Meckler United States
Gavin Kurgan United States
Amena Arif United States
Muzi Hu China
Tarun S. Nambiar United States
Tanja Rothgangl Switzerland
Alexis Duringer relative to Soh Ishiguro Japan Soh Ishiguro's profile →
Citations per field
00.5×5.5×
Soh Ishiguro · 1×
Citations per year

Countries citing papers authored by Alexis Duringer

Since Specialization
Citations

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

Fields of papers citing papers by Alexis Duringer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2017113
2 201955
3 202054
4 202223
5 20171
6 20190

About Alexis Duringer

Alexis Duringer is a scholar working on Molecular Biology, Plant Science, Cardiology and Cardiovascular Medicine, Ecology and Epidemiology, having authored 6 papers that have together received 246 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Plant Virus Research Studies (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA and protein synthesis mechanisms (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Viral Infections and Immunology Research (1 paper), Pluripotent Stem Cells Research (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Business and International Management (21 citations), Aging (15 citations), Molecular Biology (230 citations), Genetics (61 citations) and Insect Science (17 citations). Alexis Duringer has collaborated with scholars based in Canada, France and Italy. Frequent co-authors include Daniel Agudelo, Yannick Doyon, Jérémy Loehr, Sophie Carter, Sébastien Levesque, Lusiné Bozoyan, Caroline Huard, Mathieu Drouin, Jayme Salsman and Graham Dellaire. Their work appears in journals such as Nature Communications, Nature Methods, Molecular Cell, Genome Research and SSRN Electronic Journal.

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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