Mathieu Dalvai

944 citations
25 papers · 733 · h-index 16

Impact in

    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • Histone Deacetylase Inhibitors Research
    • RNA Research and Splicing
    • RNA modifications and cancer
    • CRISPR and Genetic Engineering
    • DNA Repair Mechanisms
    • Protein Degradation and Inhibitors

Papers in

Mathieu Dalvai

25 papers receiving 714 citations

Peers

Mathieu Dalvai
Comparison fields: 5 of 79
  • Molecular Biology 568
  • Cancer Research 71
  • Oncology 102
  • Obstetrics and Gynecology 25
  • Genetics 86
Replace Pishun Li with:
Pishun Li China
Simona Giunta Italy
Christina Leisser Austria
Adam B. Robertson Norway
Ho-Tak Lau United States
Shirly Lahav‐Baratz Israel
Kora Hirtenlehner Austria
Jeffery L. Schwartz United States
Mariappan Vairapandi United States
M. C. Paterson Canada
Mathieu Dalvai relative to Pishun Li China Pishun Li's profile →
Citations per field
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Pishun Li · 1×
Citations per year

Countries citing papers authored by Mathieu Dalvai

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Dalvai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014117
2 201581
3 201655
4 201046
5 201045
6 201043
7 201242
8 201340
9 201137
10 201335
11 201422
12 201921
13 201820
14 201920
15 201420
16 201018
17 202114
18 201212
19 201410
20 201810

About Mathieu Dalvai

Mathieu Dalvai is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Molecular Biology, Oncology and Health, Toxicology and Mutagenesis, having authored 25 papers that have together received 733 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), Birth, Development, and Health (6 papers), Genomics and Chromatin Dynamics (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Pregnancy and preeclampsia studies (4 papers), RNA modifications and cancer (3 papers), Cancer-related Molecular Pathways (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Molecular Biology (568 citations), Cancer Research (71 citations), Oncology (102 citations), Obstetrics and Gynecology (25 citations) and Genetics (86 citations). Mathieu Dalvai has collaborated with scholars based in France, Canada and Switzerland. Frequent co-authors include Kerstin Bystricky, Luca Giorgio Bellucci, Franck Gallardo, David J. W. Lane, Silvia Kocanova, Pauline M. Herst, Janice L. Bailey, Karine Jacquet, Yannick Doyon and Céline Lopez‐Roques. Their work appears in journals such as Oncogene, PLoS ONE, PLoS Genetics, Nucleic Acids Research and Toxicologic Pathology.

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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