Mathieu Neault

754 citations
11 papers · 365 · h-index 9

Impact in

Papers in

    • Epigenetics and DNA Methylation 4
    • Glycosylation and Glycoproteins Research 2
    • Cancer-related gene regulation 2
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Galectins and Cancer Biology 1

Mathieu Neault

11 papers receiving 360 citations

Peers

Mathieu Neault
Comparison fields: 5 of 61
  • Aging 19
  • Cancer Research 51
  • Molecular Biology 251
  • Organic Chemistry 65
  • Immunology 38
Replace Dominique Klein with:
Dominique Klein Switzerland
Xinyu Ling China
Rachel J. Lew United States
Raymond Kooij Netherlands
Michael V. Murray United States
Oswald Wilson United States
Tuan M. Nguyen United States
Eric Fourmaux France
Gertrude Zisser Austria
Mathieu Neault relative to Dominique Klein Switzerland Dominique Klein's profile →
Citations per field
00.5×1.5×1.8×
Dominique Klein · 1×
Citations per year

Countries citing papers authored by Mathieu Neault

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Neault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201289
2 201186
3 201665
4 202137
5 200921
6 201419
7 201517
8 201716
9 202213
10 20181
11 20181

About Mathieu Neault

Mathieu Neault is a scholar working on Molecular Biology, Immunology, Hematology, Physiology and Cancer Research, having authored 11 papers that have together received 365 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Acute Myeloid Leukemia Research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Telomeres, Telomerase, and Senescence (2 papers), MicroRNA in disease regulation (2 papers), Cancer-related gene regulation (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Aging (19 citations), Cancer Research (51 citations), Molecular Biology (251 citations), Organic Chemistry (65 citations) and Immunology (38 citations). Mathieu Neault has collaborated with scholars based in Canada, Austria and United States. Frequent co-authors include Frédérick A. Mallette, Stéphane Richard, Gillian Vogel, Jonathan Michaud‐Levesque, René Roy, Denis Giguère, Bertrand Blanchard, Yoann M. Chabre, Anne Imberty and Alexandre A. Arnold. Their work appears in journals such as Experimental Hematology, Tetrahedron Letters, Cell Reports, Frontiers in Immunology and Proceedings of the National Academy of Sciences.

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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