Stefano Santaguida

14.5k total citations · 1 hit paper
44 papers, 3.9k citations indexed

About

Stefano Santaguida is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Stefano Santaguida has authored 44 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 31 papers in Cell Biology and 12 papers in Oncology. Recurrent topics in Stefano Santaguida's work include Microtubule and mitosis dynamics (30 papers), Genomics and Chromatin Dynamics (9 papers) and Cancer-related Molecular Pathways (8 papers). Stefano Santaguida is often cited by papers focused on Microtubule and mitosis dynamics (30 papers), Genomics and Chromatin Dynamics (9 papers) and Cancer-related Molecular Pathways (8 papers). Stefano Santaguida collaborates with scholars based in Italy, United States and United Kingdom. Stefano Santaguida's co-authors include Angelika Amon, Stephen S. Taylor, Anthony Tighe, Anna Morena D’Alise, Lucia Massimiliano, Marina Mapelli, Gianluca Varetti, Fabrizio Villa, Sebastiano Pasqualato and Alessio Maiolica and has published in prestigious journals such as Cell, Genes & Development and Nature Reviews Molecular Cell Biology.

In The Last Decade

Stefano Santaguida

42 papers receiving 3.9k citations

Hit Papers

Short- and long-term effe... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Santaguida Italy 25 3.1k 2.6k 696 609 371 44 3.9k
Hidemasa Goto Japan 41 3.4k 1.1× 2.2k 0.8× 295 0.4× 727 1.2× 238 0.6× 62 4.3k
Chuanmao Zhang China 33 3.2k 1.0× 1.8k 0.7× 318 0.5× 550 0.9× 224 0.6× 89 4.1k
Aaron O. Bailey United States 21 3.3k 1.1× 1.1k 0.4× 950 1.4× 418 0.7× 180 0.5× 42 4.0k
Patrizia Lavia Italy 36 2.5k 0.8× 1.1k 0.4× 309 0.4× 787 1.3× 260 0.7× 80 3.1k
Nancy C. Walworth United States 23 3.7k 1.2× 2.3k 0.9× 295 0.4× 817 1.3× 290 0.8× 36 4.4k
Libor Macůrek Czechia 29 2.2k 0.7× 1.3k 0.5× 189 0.3× 885 1.5× 286 0.8× 54 2.8k
Xuelian Luo United States 31 2.8k 0.9× 2.4k 0.9× 392 0.6× 437 0.7× 148 0.4× 41 3.6k
Anne B. Vojtek United States 26 3.9k 1.3× 1.2k 0.4× 271 0.4× 625 1.0× 290 0.8× 32 4.8k
Irene García-Higuera United States 22 3.1k 1.0× 874 0.3× 338 0.5× 624 1.0× 881 2.4× 35 3.4k
Duncan J. Clarke United States 32 2.6k 0.8× 1.2k 0.5× 460 0.7× 459 0.8× 149 0.4× 83 2.9k

Countries citing papers authored by Stefano Santaguida

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Santaguida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Santaguida

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Santaguida. A scholar is included among the top collaborators of Stefano Santaguida 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 Stefano Santaguida. Stefano Santaguida 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.
Cursano, Giulia, Mariia Ivanova, Chiara Frascarelli, et al.. (2025). Inter-Assay Variability of TROP2 Immunohistochemistry in Triple-Negative Breast Cancer. Molecular Diagnosis & Therapy. 29(6). 849–857.
2.
Hwang, Sunyoung, Jillian G. Johnson, Sara Martin, et al.. (2025). Sphingolipid synthesis maintains nuclear membrane integrity and genome stability during cell division. The Journal of Cell Biology. 224(8). 1 indexed citations
3.
Zheng, Siqi, Lin Zhou, Yael Cohen‐Sharir, et al.. (2025). High CDC20 levels increase sensitivity of cancer cells to MPS1 inhibitors. EMBO Reports. 26(4). 1036–1061. 1 indexed citations
4.
Muyas, Francesc, Maria Mangini, Laura Pazzaglia, et al.. (2023). Profilin 1 deficiency drives mitotic defects and reduces genome stability. Communications Biology. 6(1). 9–9. 7 indexed citations
5.
Duso, Bruno A., Elena Gavilán, Maria De Filippo, et al.. (2022). Abstract 1164: Somatic NF1 loss in breast cancer leads to centrosome amplification, aneuploidy and increased sensitivity to T-DM1. Cancer Research. 82(12_Supplement). 1164–1164.
6.
Ippolito, Marica Rosaria, Sara L. Martin, Andréa E. Tijhuis, et al.. (2021). Gene copy-number changes and chromosomal instability induced by aneuploidy confer resistance to chemotherapy. Developmental Cell. 56(17). 2440–2454.e6. 113 indexed citations
7.
MacDuffie, Emily, et al.. (2018). Generation and Isolation of Cell Cycle-arrested Cells with Complex Karyotypes. Journal of Visualized Experiments. 1 indexed citations
8.
MacDuffie, Emily, et al.. (2018). Generation and Isolation of Cell Cycle-arrested Cells with Complex Karyotypes. Journal of Visualized Experiments. 4 indexed citations
9.
Tang, Yun‐Chi, Kaiying Wang, Peter M. Bruno, et al.. (2017). Aneuploid Cell Survival Relies upon Sphingolipid Homeostasis. Cancer Research. 77(19). 5272–5286. 37 indexed citations
10.
Dodgson, Stacie E., Stefano Santaguida, Sharon Kim, Jason M. Sheltzer, & Angelika Amon. (2016). The pleiotropic deubiquitinase Ubp3 confers aneuploidy tolerance. Genes & Development. 30(20). 2259–2271. 21 indexed citations
11.
Santaguida, Stefano & Angelika Amon. (2015). Short- and long-term effects of chromosome mis-segregation and aneuploidy. Nature Reviews Molecular Cell Biology. 16(8). 473–485. 389 indexed citations breakdown →
12.
Santaguida, Stefano, Eliza Vasile, Eileen White, & Angelika Amon. (2015). Aneuploidy-induced cellular stresses limit autophagic degradation. Genes & Development. 29(19). 2010–2021. 129 indexed citations
13.
Santaguida, Stefano, et al.. (2011). A General Framework for Inhibitor Resistance in Protein Kinases. Chemistry & Biology. 18(8). 966–975. 43 indexed citations
14.
Çivril, Filiz, Anne Marie Wehenkel, Federico M. Giorgi, et al.. (2010). Structural Analysis of the RZZ Complex Reveals Common Ancestry with Multisubunit Vesicle Tethering Machinery. Structure. 18(5). 616–626. 59 indexed citations
15.
16.
Amabile, Giovanni, Anna Morena D’Alise, Mariangela Iovino, et al.. (2008). The Aurora B kinase activity is required for the maintenance of the differentiated state of murine myoblasts. Cell Death and Differentiation. 16(2). 321–330. 44 indexed citations
17.
Ciferri, Claudio, Sebastiano Pasqualato, Emanuela Screpanti, et al.. (2008). Implications for Kinetochore-Microtubule Attachment from the Structure of an Engineered Ndc80 Complex. Cell. 133(3). 427–439. 422 indexed citations
18.
Bassanini, Stefania, Kerri Hallene, Giorgio Battaglia, et al.. (2007). Early cerebrovascular and parenchymal events following prenatal exposure to the putative neurotoxin methylazoxymethanol. Neurobiology of Disease. 26(2). 481–495. 18 indexed citations
19.
Santaguida, Stefano, et al.. (2006). Side by side comparison between dynamic versus static models of blood–brain barrier in vitro: A permeability study. Brain Research. 1109(1). 1–13. 161 indexed citations
20.
Hallene, Kerri, Emily R. Oby, Benjamin J. Lee, et al.. (2006). Prenatal exposure to thalidomide, altered vasculogenesis, and CNS malformations. Neuroscience. 142(1). 267–283. 46 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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