Marta Gai

847 total citations
25 papers, 549 citations indexed

About

Marta Gai is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Marta Gai has authored 25 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Cell Biology and 6 papers in Oncology. Recurrent topics in Marta Gai's work include Microtubule and mitosis dynamics (9 papers), Cellular Mechanics and Interactions (6 papers) and Cellular transport and secretion (4 papers). Marta Gai is often cited by papers focused on Microtubule and mitosis dynamics (9 papers), Cellular Mechanics and Interactions (6 papers) and Cellular transport and secretion (4 papers). Marta Gai collaborates with scholars based in Italy, Germany and United Kingdom. Marta Gai's co-authors include Ferdinando Di Cunto, Gaia Berto, F. Bianchi, Francesco Sgrò, Gianmarco Pallavicini, Alessandro Dema, Paola Camera, Elena Scarpa, Giulia Germena and Wieland Β. Huttner and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Marta Gai

22 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marta Gai Italy 13 337 230 92 77 66 25 549
Gaia Berto Italy 14 360 1.1× 264 1.1× 91 1.0× 97 1.3× 75 1.1× 21 619
Thomas Küntziger Norway 18 710 2.1× 191 0.8× 72 0.8× 71 0.9× 44 0.7× 27 846
Stamatis Papathanasiou United States 6 551 1.6× 111 0.5× 71 0.8× 144 1.9× 19 0.3× 6 666
Yannick Bidet France 16 468 1.4× 70 0.3× 93 1.0× 212 2.8× 28 0.4× 37 757
Kimiko Takei Japan 12 327 1.0× 137 0.6× 58 0.6× 42 0.5× 79 1.2× 17 546
Ilse G.L. Pauli Belgium 11 440 1.3× 248 1.1× 85 0.9× 90 1.2× 23 0.3× 11 718
Chi-Wei Lu United States 12 478 1.4× 55 0.2× 54 0.6× 72 0.9× 92 1.4× 20 618
Jennifer H. Lumb United Kingdom 9 332 1.0× 167 0.7× 32 0.3× 21 0.3× 28 0.4× 10 568
Linda Hii Australia 13 527 1.6× 147 0.6× 116 1.3× 88 1.1× 21 0.3× 18 850
Géza Schermann Germany 11 738 2.2× 263 1.1× 114 1.2× 48 0.6× 53 0.8× 18 985

Countries citing papers authored by Marta Gai

Since Specialization
Citations

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

Fields of papers citing papers by Marta Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Gai

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Gai. A scholar is included among the top collaborators of Marta Gai 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 Marta Gai. Marta Gai 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.
Avalle, Lidia, Laura Conti, Marta Gai, et al.. (2025). Isolation, Culture, and Characterization of Prostate Cancer-Associated Fibroblasts. Journal of Visualized Experiments.
2.
Pallavicini, Gianmarco, Marta Gai, Enrica Boda, et al.. (2025). CITK modulates BRCA1 recruitment at DNA double strand breaks sites through HDAC6. Cell Death and Disease. 16(1). 320–320.
3.
4.
Pallavicini, Gianmarco, Roberta Parolisi, Francesca Garello, et al.. (2023). Lestaurtinib inhibits Citron kinase activity and medulloblastoma growth through induction of DNA damage, apoptosis and cytokinesis failure. Frontiers in Oncology. 13. 1202585–1202585. 1 indexed citations
5.
Gai, Marta, et al.. (2022). Tissue RNA Integrity in Visium Spatial Protocol (Fresh Frozen Samples). Methods in molecular biology. 2584. 191–203. 2 indexed citations
6.
7.
Pallavicini, Gianmarco, Marta Gai, Gaia Berto, et al.. (2021). Goldberg–Shprintzen syndrome protein KIF1BP is a CITK interactor implicated in cytokinesis. Journal of Cell Science. 134(11). 5 indexed citations
8.
Navarro-Tableros, Víctor, Maria Beatriz Herrera Sanchez, Giulia Bortolussi, et al.. (2020). Human liver stem cells express UGT1A1 and improve phenotype of immunocompromised Crigler Najjar syndrome type I mice. Scientific Reports. 10(1). 887–887. 10 indexed citations
9.
Torelli, Federico, Aurora Savino, Vincenzo Salemme, et al.. (2020). The N-terminal domain of the adaptor protein p140Cap interacts with Tiam1 and controls Tiam1/Rac1 axis.. American Journal of Cancer Research. 10(12). 4308–4324. 4 indexed citations
10.
Pallavicini, Gianmarco, et al.. (2019). Neuronal Cell-Intrinsic Defects in Mouse Models of Down Syndrome. Frontiers in Neuroscience. 13. 1081–1081. 6 indexed citations
11.
Kim, Minchul, et al.. (2019). Citron kinase interacts with LATS2 and inhibits its activity by occluding its hydrophobic phosphorylation motif. Journal of Molecular Cell Biology. 11(11). 1006–1017. 5 indexed citations
12.
Pallavicini, Gianmarco, Francesco Sgrò, Francesca Garello, et al.. (2018). Inactivation of Citron Kinase Inhibits Medulloblastoma Progression by Inducing Apoptosis and Cell Senescence. Cancer Research. 78(16). 4599–4612. 24 indexed citations
13.
Avalle, Lidia, Danny Incarnato, Aurora Savino, et al.. (2017). MicroRNAs-143 and -145 induce epithelial to mesenchymal transition and modulate the expression of junction proteins. Cell Death and Differentiation. 24(10). 1750–1760. 24 indexed citations
14.
Ghouzzi, Vincent El, F. Bianchi, Ivan Molineris, et al.. (2016). ZIKA virus elicits P53 activation and genotoxic stress in human neural progenitors similar to mutations involved in severe forms of genetic microcephaly and p53. Cell Death and Disease. 7(10). e2440–e2440. 101 indexed citations
15.
Gai, Marta, F. Bianchi, Fiammetta Vernı̀, et al.. (2016). ASPM and CITK regulate spindle orientation by affecting the dynamics of astral microtubules. EMBO Reports. 17(10). 1396–1409. 61 indexed citations
16.
Sgrò, Francesco, F. Bianchi, Mattia Falcone, et al.. (2015). Tissue-specific control of midbody microtubule stability by Citron kinase through modulation of TUBB3 phosphorylation. Cell Death and Differentiation. 23(5). 801–813. 38 indexed citations
17.
Berto, Gaia, Paola Camera, Elena Scarpa, et al.. (2014). The DCR Protein TTC3 Affects Differentiation and Golgi Compactness in Neurons through Specific Actin-Regulating Pathways. PLoS ONE. 9(4). e93721–e93721. 32 indexed citations
18.
Bergo, Anna, Marta Gai, Isabella Barbiero, et al.. (2014). Methyl-CpG Binding Protein 2 (MeCP2) Localizes at the Centrosome and Is Required for Proper Mitotic Spindle Organization. Journal of Biological Chemistry. 290(6). 3223–3237. 23 indexed citations
19.
Musiani, Daniele, Giorgia Migliardi, Marta Gai, et al.. (2013). HSP27 is required for invasion and metastasis triggered by hepatocyte growth factor. International Journal of Cancer. 134(6). 1289–1299. 42 indexed citations
20.
Gai, Marta, Paola Camera, Alessandro Dema, et al.. (2011). Citron kinase controls abscission through RhoA and anillin. Molecular Biology of the Cell. 22(20). 3768–3778. 94 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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