Nicolas Matt

1.7k total citations · 1 hit paper
17 papers, 1.3k citations indexed

About

Nicolas Matt is a scholar working on Immunology, Molecular Biology and Insect Science. According to data from OpenAlex, Nicolas Matt has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 9 papers in Molecular Biology and 7 papers in Insect Science. Recurrent topics in Nicolas Matt's work include Invertebrate Immune Response Mechanisms (10 papers), Insect symbiosis and bacterial influences (7 papers) and Retinoids in leukemia and cellular processes (5 papers). Nicolas Matt is often cited by papers focused on Invertebrate Immune Response Mechanisms (10 papers), Insect symbiosis and bacterial influences (7 papers) and Retinoids in leukemia and cellular processes (5 papers). Nicolas Matt collaborates with scholars based in France, Germany and Lebanon. Nicolas Matt's co-authors include Norbert B. Ghyselinck, Valérie Dupé, Manuel Mark, Pierre Chambon, Jean‐Marie Garnier, Jules A. Hoffmann, Christine Dennefeld, Cordula Kemp, Delphine Galiana-Arnoux and Christophe Antoniewski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Molecular Cell.

In The Last Decade

Nicolas Matt

17 papers receiving 1.3k citations

Hit Papers

The DExD/H-box helicase Dicer-2 mediates the induction of... 2008 2026 2014 2020 2008 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicolas Matt France 13 793 480 339 244 177 17 1.3k
Kang-Wook Kim South Korea 16 322 0.4× 254 0.5× 290 0.9× 387 1.6× 66 0.4× 34 1.1k
Ruth Böhni Switzerland 8 889 1.1× 415 0.9× 98 0.3× 216 0.9× 59 0.3× 9 2.4k
Alla Amcheslavsky United States 16 583 0.7× 701 1.5× 266 0.8× 63 0.3× 50 0.3× 21 1.3k
Makoto Nakamura Japan 17 1.2k 1.5× 406 0.8× 180 0.5× 134 0.5× 52 0.3× 48 1.8k
Gary R. Hime Australia 24 1.6k 2.0× 170 0.4× 65 0.2× 435 1.8× 141 0.8× 66 2.3k
Elisabeth Gateff Germany 26 1.3k 1.6× 1.0k 2.1× 603 1.8× 250 1.0× 170 1.0× 40 2.4k
Wayne K. Greene Australia 22 628 0.8× 130 0.3× 46 0.1× 188 0.8× 76 0.4× 56 1.4k
John Pham United States 15 1.4k 1.7× 289 0.6× 116 0.3× 131 0.5× 127 0.7× 29 2.1k
Jeongsil Kim‐Ha South Korea 17 1.3k 1.7× 335 0.7× 150 0.4× 227 0.9× 77 0.4× 34 1.8k
Jean-Baptiste Renaud France 6 1.4k 1.7× 97 0.2× 60 0.2× 339 1.4× 75 0.4× 7 1.6k

Countries citing papers authored by Nicolas Matt

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Matt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Matt

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Matt. A scholar is included among the top collaborators of Nicolas Matt 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 Nicolas Matt. Nicolas Matt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Gotō, Akira, et al.. (2022). Dynamic Regulation of NF-κB Response in Innate Immunity: The Case of the IMD Pathway in Drosophila. Biomedicines. 10(9). 2304–2304. 20 indexed citations
2.
Reichhart, Jean‐Marc, et al.. (2021). Protein Phosphatase 4 Negatively Regulates the Immune Deficiency-NF-κB Pathway during the Drosophila Immune Response. The Journal of Immunology. 207(6). 1616–1626. 3 indexed citations
3.
Nguyen, Xuan‐Hung, François Bonnay, Akira Gotō, et al.. (2020). Hyd ubiquitinates the NF-κB co-factor Akirin to operate an effective immune response in Drosophila. PLoS Pathogens. 16(4). e1008458–e1008458. 17 indexed citations
4.
Lauret, Émilie, Nicolas Matt, Christine Schaeffer‐Reiss, et al.. (2018). The Circulating Protease Persephone Is an Immune Sensor for Microbial Proteolytic Activities Upstream of the Drosophila Toll Pathway. Molecular Cell. 69(4). 539–550.e6. 70 indexed citations
5.
Bonnay, François, et al.. (2017). The SUMO-targeted ubiquitin ligase, Dgrn, is essential for Drosophila innate immunity. The International Journal of Developmental Biology. 61(3-4-5). 319–327. 8 indexed citations
6.
Chamy, Laure El, Nicolas Matt, & Jean‐Marc Reichhart. (2017). Advances in Myeloid-Like Cell Origins and Functions in the Model OrganismDrosophila melanogaster. Microbiology Spectrum. 5(1). 4 indexed citations
7.
Chamy, Laure El, Nicolas Matt, Monde Ntwasa, & Jean‐Marc Reichhart. (2015). The multilayered innate immune defense of the gut. Biomedical Journal. 38(4). 276–276. 9 indexed citations
8.
Bonnay, François, Xuan‐Hung Nguyen, Laurent Troxler, et al.. (2014). Akirin specifies NF ‐κB selectivity of Drosophila innate immune response via chromatin remodeling. The EMBO Journal. 33(20). 2349–2362. 81 indexed citations
9.
Bonnay, François, et al.. (2013). big bang gene modulates gut immune tolerance in Drosophila. Proceedings of the National Academy of Sciences. 110(8). 2957–2962. 58 indexed citations
10.
Zúñiga, Aimée, et al.. (2012). Conserved cis-regulatory regions in a large genomic landscape control SHH and BMP-regulated Gremlin1expression in mouse limb buds. BMC Developmental Biology. 12(1). 23–23. 34 indexed citations
11.
Hétru, Charles, et al.. (2010). Analysis of Thioester-Containing Proteins during the Innate Immune Response of Drosophila melanogaster. Journal of Innate Immunity. 3(1). 52–64. 85 indexed citations
12.
Deddouche, Safia, Nicolas Matt, Aidan Budd, et al.. (2008). The DExD/H-box helicase Dicer-2 mediates the induction of antiviral activity in drosophila. Nature Immunology. 9(12). 1425–1432. 306 indexed citations breakdown →
13.
Matt, Nicolas, Norbert B. Ghyselinck, Isabelle Pellerin, & Valérie Dupé. (2008). Impairing retinoic acid signalling in the neural crest cells is sufficient to alter entire eye morphogenesis. Developmental Biology. 320(1). 140–148. 82 indexed citations
14.
Matt, Nicolas, Carsten K. Schmidt, Valérie Dupé, et al.. (2005). Contribution of cellular retinol‐binding protein type 1 to retinol metabolism during mouse development. Developmental Dynamics. 233(1). 167–176. 32 indexed citations
15.
Matt, Nicolas, Valérie Dupé, Jean‐Marie Garnier, et al.. (2005). Retinoic acid-dependent eye morphogenesis is orchestrated by neural crest cells. Development. 132(21). 4789–4800. 202 indexed citations
16.
Dupé, Valérie, Nicolas Matt, Jean‐Marie Garnier, et al.. (2003). A newborn lethal defect due to inactivation of retinaldehyde dehydrogenase type 3 is prevented by maternal retinoic acid treatment. Proceedings of the National Academy of Sciences. 100(24). 14036–14041. 242 indexed citations
17.
Matt, Nicolas, Norbert B. Ghyselinck, Olivia Wendling, Pierre Chambon, & Manuel Mark. (2003). Retinoic acid-induced developmental defects are mediated by RARβ/RXR heterodimers in the pharyngeal endoderm. Development. 130(10). 2083–2093. 87 indexed citations

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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