Stéphane Noselli

4.9k total citations
65 papers, 3.8k citations indexed

About

Stéphane Noselli is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stéphane Noselli has authored 65 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 25 papers in Cell Biology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stéphane Noselli's work include Developmental Biology and Gene Regulation (31 papers), Cellular Mechanics and Interactions (14 papers) and Neurobiology and Insect Physiology Research (11 papers). Stéphane Noselli is often cited by papers focused on Developmental Biology and Gene Regulation (31 papers), Cellular Mechanics and Interactions (14 papers) and Neurobiology and Insect Physiology Research (11 papers). Stéphane Noselli collaborates with scholars based in France, United States and United Kingdom. Stéphane Noselli's co-authors include Bruno Glise, Magali Suzanne, Pauline Spéder, François Agnès, Delphine Cérézo, Christian Ghiglione, Norbert Perrimon, Jean‐Baptiste Coutelis, Charles Géminard and Astrid G. Petzoldt and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Stéphane Noselli

65 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stéphane Noselli France 32 2.5k 1.2k 1.0k 635 484 65 3.8k
Kenji Matsuno Japan 36 4.2k 1.7× 1.1k 0.9× 774 0.8× 608 1.0× 567 1.2× 85 5.3k
Frank Schnorrer Germany 31 3.0k 1.2× 1.2k 1.0× 1.6k 1.5× 593 0.9× 546 1.1× 56 4.5k
Georg Dietzl Austria 6 2.2k 0.9× 979 0.8× 1.6k 1.6× 498 0.8× 440 0.9× 6 3.4k
Karen L. Schulze United States 29 3.6k 1.4× 2.1k 1.7× 1.9k 1.9× 451 0.7× 548 1.1× 32 4.9k
Gábor Juhász Hungary 37 2.5k 1.0× 1.8k 1.5× 546 0.5× 701 1.1× 244 0.5× 107 6.1k
Yuchun He United States 14 2.3k 0.9× 732 0.6× 1.3k 1.2× 427 0.7× 592 1.2× 18 3.3k
Chi‐Hon Lee United States 29 3.1k 1.3× 636 0.5× 2.3k 2.2× 605 1.0× 563 1.2× 52 5.2k
Marco Milán Spain 32 2.6k 1.0× 1.3k 1.1× 859 0.8× 518 0.8× 443 0.9× 78 3.7k
Kuan-Chung Su United States 10 1.6k 0.7× 712 0.6× 1.0k 1.0× 369 0.6× 369 0.8× 14 2.6k
Yoshiki Hotta Japan 35 3.0k 1.2× 934 0.8× 2.2k 2.1× 376 0.6× 710 1.5× 63 4.6k

Countries citing papers authored by Stéphane Noselli

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Noselli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Noselli

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

All Works

20 of 20 papers shown
1.
Lapraz, François, et al.. (2024). Brain bilateral asymmetry – insights from nematodes, zebrafish, and Drosophila. Trends in Neurosciences. 47(10). 803–818. 4 indexed citations
2.
Lapraz, François, Pierre-Yves Plaçais, Delphine Cérézo, et al.. (2023). Asymmetric activity of NetrinB controls laterality of the Drosophila brain. Nature Communications. 14(1). 1052–1052. 8 indexed citations
3.
Bánréti, Ágnes, Shayon Bhattacharya, Frank Wien, et al.. (2022). Biological effects of the loss of homochirality in a multicellular organism. Nature Communications. 13(1). 7059–7059. 15 indexed citations
4.
Bor, Véronique Van De, et al.. (2021). A dynamic and mosaic basement membrane controls cell intercalation in Drosophila ovaries. Development. 148(4). 17 indexed citations
5.
Lapraz, François, et al.. (2020). The Drosophila actin nucleator DAAM is essential for left-right asymmetry. PLoS Genetics. 16(4). e1008758–e1008758. 17 indexed citations
6.
David, Jean R., Yoshitaka Kamimura, John P. Masly, et al.. (2019). A standardized nomenclature and atlas of the male terminalia of Drosophila melanogaster. Fly. 13(1-4). 51–64. 26 indexed citations
7.
Lebreton, Gaëlle, Charles Géminard, François Lapraz, et al.. (2018). Molecular to organismal chirality is induced by the conserved myosin 1D. Science. 362(6417). 949–952. 102 indexed citations
8.
Ghiglione, Christian, Patrick Jouandin, Delphine Cérézo, & Stéphane Noselli. (2018). The Drosophila insulin pathway controls Profilin expression and dynamic actin-rich protrusions during collective cell migration. Development. 145(14). 12 indexed citations
9.
Ott, Tim, et al.. (2018). A Conserved Role of the Unconventional Myosin 1d in Laterality Determination. Current Biology. 28(5). 810–816.e3. 37 indexed citations
10.
Juan, Thomas, Charles Géminard, Jean‐Baptiste Coutelis, et al.. (2018). Myosin1D is an evolutionarily conserved regulator of animal left–right asymmetry. Nature Communications. 9(1). 1942–1942. 48 indexed citations
11.
Rousset, Raphaël, et al.. (2017). Signalling crosstalk at the leading edge controls tissue closure dynamics in the Drosophila embryo. PLoS Genetics. 13(2). e1006640–e1006640. 10 indexed citations
12.
Bor, Véronique Van De, Delphine Cérézo, Marilyne Malbouyres, et al.. (2015). Companion Blood Cells Control Ovarian Stem Cell Niche Microenvironment and Homeostasis. Cell Reports. 13(3). 546–560. 61 indexed citations
13.
Coutelis, Jean‐Baptiste, Charles Géminard, Pauline Spéder, et al.. (2013). Drosophila Left/Right Asymmetry Establishment Is Controlled by the Hox Gene Abdominal-B. Developmental Cell. 24(1). 89–97. 38 indexed citations
14.
Graeve, Fabienne De, Véronique Van De Bor, Christian Ghiglione, et al.. (2012). Drosophila apc regulates delamination of invasive epithelial clusters. Developmental Biology. 368(1). 76–85. 12 indexed citations
15.
16.
Thomas, Chloe, Raphaël Rousset, & Stéphane Noselli. (2009). JNK signalling influences intracellular trafficking during Drosophila morphogenesis through regulation of the novel target gene Rab30. Developmental Biology. 331(2). 250–260. 31 indexed citations
17.
Colombani, Julien, Laurence Bianchini, Sophie Layalle, et al.. (2005). Antagonistic Actions of Ecdysone and Insulins Determine Final Size in Drosophila. Science. 310(5748). 667–670. 472 indexed citations
18.
Llano, Elena, Géza Ádám, Alberto M. Pendás, et al.. (2002). Structural and Enzymatic Characterization of Drosophila Dm2-MMP, a Membrane-bound Matrix Metalloproteinase with Tissue-specific Expression. Journal of Biological Chemistry. 277(26). 23321–23329. 85 indexed citations
19.
Noselli, Stéphane. (1998). JNK signaling and morphogenesis in Drosophila. Trends in Genetics. 14(1). 33–38. 141 indexed citations
20.
Brand, Stéphanie, Sébastien Pichoff, Stéphane Noselli, & Henri-Marc Bourbon. (1995). Novel Drosophila melanogaster genes encoding RRM-type RNA-binding proteins identified by a degenerate PCR strategy. Gene. 154(2). 187–192. 13 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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