Matilde Galli

676 total citations
10 papers, 310 citations indexed

About

Matilde Galli is a scholar working on Molecular Biology, Cell Biology and Aging. According to data from OpenAlex, Matilde Galli has authored 10 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Aging. Recurrent topics in Matilde Galli's work include Microtubule and mitosis dynamics (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Congenital heart defects research (2 papers). Matilde Galli is often cited by papers focused on Microtubule and mitosis dynamics (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Congenital heart defects research (2 papers). Matilde Galli collaborates with scholars based in Netherlands, Czechia and Germany. Matilde Galli's co-authors include Sander van den Heuvel, David O. Morgan, Anna Akhmanova, René H. Medema, Marvin E. Tanenbaum, Libor Macůrek, Babet van der Vaart, Javier Muñoz, Albert J. R. Heck and Mike Boxem and has published in prestigious journals such as The Journal of Cell Biology, Nature Cell Biology and Development.

In The Last Decade

Matilde Galli

9 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matilde Galli Netherlands 7 228 212 67 35 35 10 310
J. Sebastián Gómez-Cavazos United States 8 332 1.5× 143 0.7× 58 0.9× 10 0.3× 14 0.4× 9 411
Koen J.C. Verbrugghe United States 8 377 1.7× 371 1.8× 77 1.1× 38 1.1× 103 2.9× 10 514
Sarit Smolikove United States 12 287 1.3× 61 0.3× 118 1.8× 33 0.9× 54 1.5× 25 335
Marine Stefanutti France 9 273 1.2× 217 1.0× 83 1.2× 49 1.4× 81 2.3× 13 377
David J. Wynne United States 8 635 2.8× 331 1.6× 115 1.7× 23 0.7× 124 3.5× 12 667
Lucie Van Hove France 9 201 0.9× 180 0.8× 43 0.6× 12 0.3× 26 0.7× 13 270
Audrey Perreault Canada 7 318 1.4× 124 0.6× 61 0.9× 41 1.2× 30 0.9× 8 387
Emily L. Petty United States 9 370 1.6× 55 0.3× 146 2.2× 25 0.7× 87 2.5× 17 429
Ericca Stamper United States 6 261 1.1× 94 0.4× 76 1.1× 18 0.5× 44 1.3× 7 309
Simona Rosu United States 7 497 2.2× 95 0.4× 144 2.1× 27 0.8× 76 2.2× 9 539

Countries citing papers authored by Matilde Galli

Since Specialization
Citations

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

Fields of papers citing papers by Matilde Galli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matilde Galli

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

All Works

10 of 10 papers shown
1.
Galli, Matilde, et al.. (2024). Functional consequences of somatic polyploidy in development. Development. 151(5). 2 indexed citations
2.
Lopes, Susana M. Chuva de Sousa, et al.. (2024). Binucleated human hepatocytes arise through late cytokinetic regression during endomitosis M phase. The Journal of Cell Biology. 223(8). 5 indexed citations
4.
Korswagen, Hendrik C., et al.. (2022). Endomitosis controls tissue-specific gene expression during development. PLoS Biology. 20(5). e3001597–e3001597. 10 indexed citations
5.
Galli, Matilde & David O. Morgan. (2016). Cell Size Determines the Strength of the Spindle Assembly Checkpoint during Embryonic Development. Developmental Cell. 36(3). 344–352. 55 indexed citations
6.
Portegijs, Vincent, Matilde Galli, Ruben Schmidt, et al.. (2016). Multisite Phosphorylation of NuMA-Related LIN-5 Controls Mitotic Spindle Positioning in C. elegans. PLoS Genetics. 12(10). e1006291–e1006291. 17 indexed citations
7.
Maia, André F., Marvin E. Tanenbaum, Matilde Galli, et al.. (2015). Genome-wide RNAi screen for synthetic lethal interactions with the C. elegans kinesin-5 homolog BMK-1. Scientific Data. 2(1). 150020–150020. 9 indexed citations
8.
Tanenbaum, Marvin E., Libor Macůrek, Babet van der Vaart, et al.. (2011). A Complex of Kif18b and MCAK Promotes Microtubule Depolymerization and Is Negatively Regulated by Aurora Kinases. Current Biology. 21(16). 1356–1365. 107 indexed citations
9.
Galli, Matilde, Javier Muñoz, Vincent Portegijs, et al.. (2011). aPKC phosphorylates NuMA-related LIN-5 to position the mitotic spindle during asymmetric division. Nature Cell Biology. 13(9). 1132–1138. 55 indexed citations
10.
Galli, Matilde & Sander van den Heuvel. (2008). Determination of the Cleavage Plane in EarlyC. elegansEmbryos. Annual Review of Genetics. 42(1). 389–411. 50 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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