Giulia Rancati

3.3k total citations
35 papers, 2.3k citations indexed

About

Giulia Rancati is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Giulia Rancati has authored 35 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 19 papers in Cell Biology and 8 papers in Genetics. Recurrent topics in Giulia Rancati's work include Microtubule and mitosis dynamics (19 papers), Cancer Genomics and Diagnostics (7 papers) and Fungal and yeast genetics research (7 papers). Giulia Rancati is often cited by papers focused on Microtubule and mitosis dynamics (19 papers), Cancer Genomics and Diagnostics (7 papers) and Fungal and yeast genetics research (7 papers). Giulia Rancati collaborates with scholars based in Singapore, United States and Italy. Giulia Rancati's co-authors include Norman Pavelka, Rong Li, Maybelline Giam, Jin Zhu, William D. Bradford, Gaye Hattem, Laurence Florens, Anita Saraf, Athanasios Typas and Jason Moffat and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Giulia Rancati

35 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giulia Rancati Singapore	22	1.6k	817	478	454	348	35	2.3k
Mercedes Pardo United Kingdom	25	1.5k 0.9×	260 0.3×	169 0.4×	119 0.3×	112 0.3×	41	2.0k
Malene Bech Vester-Christensen Denmark	17	2.1k 1.3×	273 0.3×	191 0.4×	173 0.4×	80 0.2×	25	2.7k
S. Rita United States	17	1.5k 0.9×	375 0.5×	246 0.5×	269 0.6×	253 0.7×	30	1.8k
Michael Cancilla Australia	15	1.3k 0.8×	209 0.3×	637 1.3×	426 0.9×	69 0.2×	16	1.9k
Mitsuhiro Yanagida Japan	12	2.4k 1.4×	456 0.6×	323 0.7×	262 0.6×	133 0.4×	15	2.8k
Carol Featherstone United Kingdom	17	1.2k 0.7×	520 0.6×	95 0.2×	120 0.3×	108 0.3×	54	1.8k
Susannah Rankin United States	21	1.4k 0.8×	674 0.8×	274 0.6×	340 0.7×	60 0.2×	34	1.7k
Nicholas R. Pannunzio United States	14	2.0k 1.2×	89 0.1×	339 0.7×	350 0.8×	189 0.5×	26	2.5k
David M. Roberts United States	24	1.1k 0.7×	339 0.4×	102 0.2×	255 0.6×	78 0.2×	47	1.8k
Monita P. Wilson United States	18	890 0.5×	514 0.6×	269 0.6×	166 0.4×	36 0.1×	23	1.4k

Countries citing papers authored by Giulia Rancati

Since Specialization

Citations

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

Fields of papers citing papers by Giulia Rancati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Rancati

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

All Works

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20 of 20 papers shown

Menon, Dinoop Ravindran, Heinz Hammerlindl, Grégory Gimenez, et al.. (2023). H3K4me3 remodeling induced acquired resistance through O-GlcNAc transferase. Drug Resistance Updates. 71. 100993–100993. 7 indexed citations

Giunta, Simona, Solène Hervé, Ryan R. White, et al.. (2021). CENP-A chromatin prevents replication stress at centromeres to avoid structural aneuploidy. Proceedings of the National Academy of Sciences. 118(10). 66 indexed citations

Larrimore, Katherine E., et al.. (2021). Non‐genetic and genetic rewiring underlie adaptation to hypomorphic alleles of an essential gene. The EMBO Journal. 40(21). e107839–e107839. 4 indexed citations

Giam, Maybelline, et al.. (2020). P53 induces senescence in the unstable progeny of aneuploid cells. Cell Cycle. 19(24). 3508–3520. 5 indexed citations

Larrimore, Katherine E. & Giulia Rancati. (2019). The conditional nature of gene essentiality. Current Opinion in Genetics & Development. 58-59. 55–61. 22 indexed citations

Tso, Gloria Hoi Wan, Jose Antonio Reales‐Calderón, Alrina Tan, et al.. (2018). Experimental evolution of a fungal pathogen into a gut symbiont. Science. 362(6414). 589–595. 179 indexed citations

He, Qianqian, Bijin Au, Madhura Kulkarni, et al.. (2018). Chromosomal instability-induced senescence potentiates cell non-autonomous tumourigenic effects. Oncogenesis. 7(8). 62–62. 48 indexed citations

Rancati, Giulia, et al.. (2018). Mammalian Cells Undergo Endoreduplication in Response to Lactic Acidosis. Scientific Reports. 8(1). 2890–2890. 10 indexed citations

Juanes, M. Angeles, et al.. (2018). Recruitment of the mitotic exit network to yeast centrosomes couples septin displacement to actomyosin constriction. Nature Communications. 9(1). 4308–4308. 28 indexed citations

10.

Rancati, Giulia, Jason Moffat, Athanasios Typas, & Norman Pavelka. (2017). Emerging and evolving concepts in gene essentiality. Nature Reviews Genetics. 19(1). 34–49. 174 indexed citations

11.

Huber, Roland G., Keven Ang, Gaowen Liu, et al.. (2016). Impairing Cohesin Smc1/3 Head Engagement Compensates for the Lack of Eco1 Function. Structure. 24(11). 1991–1999. 16 indexed citations

12.

Liu, Gaowen, Mei Yong, Marina Yurieva, et al.. (2015). Gene Essentiality Is a Quantitative Property Linked to Cellular Evolvability. Cell. 163(6). 1388–1399. 108 indexed citations

13.

Giam, Maybelline & Giulia Rancati. (2015). Aneuploidy and chromosomal instability in cancer: a jackpot to chaos. Cell Division. 10(1). 3–3. 180 indexed citations

14.

Pavelka, Norman & Giulia Rancati. (2013). Never in Neutral: A Systems Biology and Evolutionary Perspective on how Aneuploidy Contributes to Human Diseases. Cytogenetic and Genome Research. 139(3). 193–205. 8 indexed citations

15.

Zhu, Jin, Norman Pavelka, William D. Bradford, Giulia Rancati, & Rong Li. (2012). Karyotypic Determinants of Chromosome Instability in Aneuploid Budding Yeast. PLoS Genetics. 8(5). e1002719–e1002719. 110 indexed citations

16.

Pavelka, Norman, Giulia Rancati, Jin Zhu, et al.. (2010). Aneuploidy confers quantitative proteome changes and phenotypic variation in budding yeast. Nature. 468(7321). 321–325. 448 indexed citations

17.

Chiroli, Elena, et al.. (2009). Cdc14 Inhibition by the Spindle Assembly Checkpoint Prevents Unscheduled Centrosome Separation in Budding Yeast. Molecular Biology of the Cell. 20(10). 2626–2637. 12 indexed citations

18.

Rancati, Giulia, Norman Pavelka, Brian Fleharty, et al.. (2008). Aneuploidy Underlies Rapid Adaptive Evolution of Yeast Cells Deprived of a Conserved Cytokinesis Motor. Cell. 135(5). 879–893. 256 indexed citations

19.

Rancati, Giulia & Rong Li. (2007). Polarized Cell Growth: Double Grip by CDK1. Current Biology. 17(15). R600–R603. 2 indexed citations

20.

Rancati, Giulia, et al.. (2005). Mad3/BubR1 Phosphorylation during Spindle Checkpoint Activation Depends on both Polo and Aurora Kinases in Budding Yeast. Cell Cycle. 4(7). 972–980. 21 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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