Grégory Emery

2.1k total citations
34 papers, 1.6k citations indexed

About

Grégory Emery is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Grégory Emery has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cell Biology, 22 papers in Molecular Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Grégory Emery's work include Cellular transport and secretion (17 papers), Cellular Mechanics and Interactions (9 papers) and Microtubule and mitosis dynamics (7 papers). Grégory Emery is often cited by papers focused on Cellular transport and secretion (17 papers), Cellular Mechanics and Interactions (9 papers) and Microtubule and mitosis dynamics (7 papers). Grégory Emery collaborates with scholars based in Canada, Switzerland and United States. Grégory Emery's co-authors include Juergen A. Knoblich, Jean Grüenberg, Manuel Rojo, Damien Ramel, Joerg Betschinger, Vivien Rolland, Sarah Bowman, Marcos González‐Gaitán, Frederik Wirtz‐Peitz and Daniela Berdnik and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Grégory Emery

33 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grégory Emery Canada 17 1.1k 931 317 176 127 34 1.6k
Rita Sinka Hungary 18 995 0.9× 842 0.9× 176 0.6× 216 1.2× 142 1.1× 42 1.6k
Sven Bogdan Germany 24 1.2k 1.0× 1.2k 1.2× 305 1.0× 165 0.9× 59 0.5× 44 2.0k
Christian Bökel Germany 17 883 0.8× 479 0.5× 238 0.8× 216 1.2× 136 1.1× 23 1.3k
Stephen L. Gregory Australia 19 965 0.9× 879 0.9× 205 0.6× 181 1.0× 90 0.7× 35 1.6k
Hiroto Yamazaki Japan 15 957 0.9× 856 0.9× 299 0.9× 127 0.7× 55 0.4× 28 1.7k
Frederik Wirtz‐Peitz United States 14 975 0.9× 801 0.9× 214 0.7× 86 0.5× 122 1.0× 14 1.3k
Tatyana Y. Belenkaya United States 14 1.4k 1.2× 717 0.8× 203 0.6× 101 0.6× 104 0.8× 17 1.6k
Esther M. Verheyen Canada 25 1.4k 1.3× 784 0.8× 315 1.0× 179 1.0× 117 0.9× 55 2.0k
Udo Häcker Sweden 18 1.6k 1.4× 1.1k 1.1× 260 0.8× 166 0.9× 175 1.4× 22 2.1k
Kaye Suyama United States 16 1.4k 1.2× 520 0.6× 292 0.9× 130 0.7× 82 0.6× 23 1.8k

Countries citing papers authored by Grégory Emery

Since Specialization
Citations

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

Fields of papers citing papers by Grégory Emery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grégory Emery

This figure shows the co-authorship network connecting the top 25 collaborators of Grégory Emery. A scholar is included among the top collaborators of Grégory Emery 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 Grégory Emery. Grégory Emery 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.
Tremblay, Michel G., et al.. (2024). Tao and Rap2l ensure proper Misshapen activation and levels during Drosophila border cell migration. Developmental Cell. 60(1). 119–132.e6. 1 indexed citations
2.
Ehrlicher, Allen J., et al.. (2023). MAP4K4 regulates forces at cell–cell and cell–matrix adhesions to promote collective cell migration. Life Science Alliance. 6(9). e202302196–e202302196. 6 indexed citations
3.
Courcelles, Mathieu, et al.. (2023). SUMO Proteomics Analyses Identify Protein Inhibitor of Activated STAT-Mediated Regulatory Networks Involved in Cell Cycle and Cell Proliferation. Journal of Proteome Research. 22(3). 812–825. 9 indexed citations
4.
Emery, Grégory, et al.. (2022). Directing with restraint: Mechanisms of protrusion restriction in collective cell migrations. Seminars in Cell and Developmental Biology. 129. 75–81. 9 indexed citations
5.
Li, Chongyang, et al.. (2020). Quantitative SUMO proteomics identifies PIAS1 substrates involved in cell migration and motility. Nature Communications. 11(1). 834–834. 61 indexed citations
6.
Wang, Xianping, et al.. (2020). Temporal Coordination of Collective Migration and Lumen Formation by Antagonism between Two Nuclear Receptors. iScience. 23(7). 101335–101335. 7 indexed citations
7.
Emery, Grégory, et al.. (2020). Ohio University's Global Learning Community. 7.894.1–7.894.8.
8.
Roux, Philippe P., et al.. (2019). Misshapen coordinates protrusion restriction and actomyosin contractility during collective cell migration. Nature Communications. 10(1). 3940–3940. 25 indexed citations
9.
Emery, Grégory, et al.. (2019). The ArfGAP Drongo Promotes Actomyosin Contractility during Collective Cell Migration by Releasing Myosin Phosphatase from the Trailing Edge. Cell Reports. 28(12). 3238–3248.e3. 10 indexed citations
10.
Colombié, Nathalie, et al.. (2017). Non-autonomous role of Cdc42 in cell-cell communication during collective migration. Developmental Biology. 423(1). 12–18. 15 indexed citations
11.
Wang, Peng, et al.. (2016). Spatial regulation of greatwall by Cdk1 and PP2A-Tws in the cell cycle. Cell Cycle. 15(4). 528–539. 16 indexed citations
12.
Laflamme, Carl & Grégory Emery. (2015). In Vitro and In Vivo Characterization of the Rab11-GAP Activity of Drosophila Evi5. Methods in molecular biology. 1298. 187–194. 3 indexed citations
13.
Ramel, Damien, Xiaobo Wang, Carl Laflamme, Denise J. Montell, & Grégory Emery. (2013). Rab11 regulates cell–cell communication during collective cell movements. Nature Cell Biology. 15(3). 317–324. 125 indexed citations
14.
Ramel, Damien, Marganit Farago, Carlos M. Luque, et al.. (2013). The GEF Vav regulates guided cell migration by coupling guidance receptor signalling to local Rac activation. Journal of Cell Science. 126(Pt 10). 2285–93. 34 indexed citations
15.
Emery, Grégory & Damien Ramel. (2013). Cell coordination of collective migration by Rab11 and Moesin. Communicative & Integrative Biology. 6(4). e24587–e24587. 10 indexed citations
16.
Zuylen, Wendy J. van, Jean-François Clément, Kashif Aziz Khan, et al.. (2012). Proteomic Profiling of the TRAF3 Interactome Network Reveals a New Role for the ER-to-Golgi Transport Compartments in Innate Immunity. PLoS Pathogens. 8(7). e1002747–e1002747. 47 indexed citations
17.
Roubinet, Chantal, et al.. (2011). The Inositol 5-Phosphatase dOCRL Controls PI(4,5)P2 Homeostasis and Is Necessary for Cytokinesis. Current Biology. 21(12). 1074–1079. 68 indexed citations
18.
Emery, Grégory & Juergen A. Knoblich. (2006). Endosome dynamics during development. Current Opinion in Cell Biology. 18(4). 407–415. 43 indexed citations
19.
Mayer, Bernd, Grégory Emery, Daniela Berdnik, Frederik Wirtz‐Peitz, & Juergen A. Knoblich. (2005). Quantitative Analysis of Protein Dynamics during Asymmetric Cell Division. Current Biology. 15(20). 1847–1854. 47 indexed citations
20.
Emery, Grégory, Daniela Berdnik, Bernd Mayer, et al.. (2005). Asymmetric Rab11 Endosomes Regulate Delta Recycling and Specify Cell Fate in the Drosophila Nervous System. Cell. 122(5). 763–773. 257 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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