Matthieu Sanial

1.4k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Matthieu Sanial is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Matthieu Sanial has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Immunology. Recurrent topics in Matthieu Sanial's work include Hedgehog Signaling Pathway Studies (9 papers), Epigenetics and DNA Methylation (8 papers) and Developmental Biology and Gene Regulation (6 papers). Matthieu Sanial is often cited by papers focused on Hedgehog Signaling Pathway Studies (9 papers), Epigenetics and DNA Methylation (8 papers) and Developmental Biology and Gene Regulation (6 papers). Matthieu Sanial collaborates with scholars based in France, United States and Canada. Matthieu Sanial's co-authors include Frank Feuerbach, Christian Godon, Taline T. Elmayan, A. Lacombe, Carine Remoué, Hervé Vaucheret, Nathalie Picault, Christophe Béclin, Jean‐Benoit Morel and Anne Plessis and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Matthieu Sanial

14 papers receiving 1.1k citations

Hit Papers

Arabidopsis SGS2 and SGS3 Genes Are Required for Posttran... 2000 2026 2008 2017 2000 250 500 750

Peers

Matthieu Sanial
Comparison fields: 5 of 55
  • Plant Science 723
  • Molecular Biology 719
  • Endocrinology 150
  • Genetics 89
  • Insect Science 75
Replace Guillaume Moissiard with:
Guillaume Moissiard France
Melanie A. Sacco United States
Nataliya E. Yelina United Kingdom
Elizabeth H. Bayne United Kingdom
Ling-Jie Kong United States
Yunkun Dang China
J. van der Winden Austria
Marie‐Christine Carpentier France
Sonia Delgado Spain
Jennifer D. Lewis United States
Guillaume Moissiard France View profile →
Citations per field, relative to Matthieu Sanial
Matthieu Sanial · 1×
Citations per year, relative to Matthieu Sanial
Matthieu Sanial · 1×

Countries citing papers authored by Matthieu Sanial

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Sanial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Sanial

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Sanial. A scholar is included among the top collaborators of Matthieu Sanial based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthieu Sanial. Matthieu Sanial is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 3
2 0
3 0
4 8
5 6
6 13
7 10
8 17
9 24
10 41
11 41
12 25
13 21
14 14
15 52
16
Arabidopsis SGS2 and SGS3 Genes Are Required for Posttranscriptional Gene Silencing and Natural Virus Resistance breakdown →
852

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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