Paola Scaffidi

10.4k total citations · 2 hit papers
33 papers, 8.1k citations indexed

About

Paola Scaffidi is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Paola Scaffidi has authored 33 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Paola Scaffidi's work include Genomics and Chromatin Dynamics (14 papers), Epigenetics and DNA Methylation (11 papers) and Nuclear Structure and Function (7 papers). Paola Scaffidi is often cited by papers focused on Genomics and Chromatin Dynamics (14 papers), Epigenetics and DNA Methylation (11 papers) and Nuclear Structure and Function (7 papers). Paola Scaffidi collaborates with scholars based in United Kingdom, United States and Italy. Paola Scaffidi's co-authors include Tom Misteli, Marco E. Bianchi, Elanor N. Wainwright, Susanne Müller, Tiziana Bonaldi, Bernard Degryse, Gianluigi Arrigoni, Kris Noel Dahl, Massimo Resnati and Mohammad F. Islam and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Paola Scaffidi

31 papers receiving 8.0k citations

Hit Papers

Release of chromatin prot... 2002 2026 2010 2018 2002 2006 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paola Scaffidi United Kingdom 24 4.8k 2.2k 2.0k 669 564 33 8.1k
Ann B. Kier United States 45 6.1k 1.3× 1.5k 0.7× 418 0.2× 1.6k 2.3× 1.0k 1.8× 157 9.7k
Takamune Takahashi United States 37 2.1k 0.4× 2.1k 0.9× 352 0.2× 820 1.2× 248 0.4× 97 6.3k
Jochen Heß Germany 36 3.2k 0.7× 1.4k 0.6× 430 0.2× 1.4k 2.1× 454 0.8× 125 5.8k
Karina Reiß Germany 42 3.2k 0.7× 1.3k 0.6× 442 0.2× 2.0k 3.0× 265 0.5× 71 7.3k
Toshiyuki Fukao Japan 41 3.0k 0.6× 448 0.2× 1.8k 0.9× 497 0.7× 719 1.3× 307 6.3k
Kimitoshi Nakamura Japan 34 2.6k 0.5× 893 0.4× 614 0.3× 299 0.4× 837 1.5× 217 6.0k
Francesca Sanvito Italy 38 3.2k 0.7× 1.6k 0.7× 502 0.2× 2.1k 3.1× 376 0.7× 105 6.5k
Carl A. Pinkert United States 41 4.4k 0.9× 1.2k 0.5× 401 0.2× 1.3k 1.9× 1.5k 2.6× 115 8.1k
Marjan Guček United States 45 4.5k 0.9× 577 0.3× 358 0.2× 417 0.6× 1.1k 2.0× 117 6.8k
Nicholas Joza France 24 3.7k 0.8× 1.6k 0.7× 206 0.1× 1.0k 1.5× 915 1.6× 25 6.0k

Countries citing papers authored by Paola Scaffidi

Since Specialization
Citations

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

Fields of papers citing papers by Paola Scaffidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Scaffidi

This figure shows the co-authorship network connecting the top 25 collaborators of Paola Scaffidi. A scholar is included among the top collaborators of Paola Scaffidi 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 Paola Scaffidi. Paola Scaffidi 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.
Noberini, Roberta, Ming Jiang, Gavin Kelly, et al.. (2025). Systematic genetic perturbation reveals principles underpinning robustness of the epigenetic regulatory network. Nucleic Acids Research. 53(7).
2.
Ungvári, Zoltán, Mónika Fekete, Alessia Buda, et al.. (2025). Quantifying the impact of treatment delays on breast cancer survival outcomes: a comprehensive meta-analysis. GeroScience. 48(1). 1173–1187. 1 indexed citations
3.
Scaffidi, Paola, et al.. (2025). Compromised epigenetic robustness in cancer: fueling evolution, exposing weakness. Trends in cancer. 11(6). 575–590. 3 indexed citations
4.
Pal, Debosree, Sundarraj Jayakumar, Miguel R. Branco, et al.. (2023). H4K16ac activates the transcription of transposable elements and contributes to their cis-regulatory function. Nature Structural & Molecular Biology. 30(7). 935–947. 26 indexed citations
5.
Ciriello, Giovanni, Luca Magnani, Sarah J. Aitken, et al.. (2023). Cancer Evolution: A Multifaceted Affair. Cancer Discovery. 14(1). 36–48. 42 indexed citations
6.
Simeoni, Fabrizio, Paolo Inglese, Harshil Patel, et al.. (2022). Selective advantage of epigenetically disrupted cancer cells via phenotypic inertia. Cancer Cell. 41(1). 70–87.e14. 29 indexed citations
7.
Morales, Cristina, Louise Richardson, Harshil Patel, et al.. (2021). Disruption of the MSL complex inhibits tumour maintenance by exacerbating chromosomal instability. Nature Cell Biology. 23(4). 401–412. 14 indexed citations
8.
Moreno-Rodriguez, Thaidy, Laura González-Silva, Carlos Revilla, et al.. (2021). ARID2 deficiency promotes tumor progression and is associated with higher sensitivity to chemotherapy in lung cancer. Oncogene. 40(16). 2923–2935. 24 indexed citations
9.
Noberini, Roberta, Cristina Morales, Stefania Brandini, et al.. (2020). Label-Free Mass Spectrometry-Based Quantification of Linker Histone H1 Variants in Clinical Samples. International Journal of Molecular Sciences. 21(19). 7330–7330. 11 indexed citations
10.
Wainwright, Elanor N. & Paola Scaffidi. (2017). Epigenetics and Cancer Stem Cells: Unleashing, Hijacking, and Restricting Cellular Plasticity. Trends in cancer. 3(5). 372–386. 247 indexed citations
11.
Morales, Cristina, Alva Biran, Harshil Patel, et al.. (2016). The linker histone H1.0 generates epigenetic and functional intratumor heterogeneity. Science. 353(6307). 132 indexed citations
12.
Scaffidi, Paola. (2015). Histone H1 alterations in cancer. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1859(3). 533–539. 43 indexed citations
13.
Fernández, Patricia, Paola Scaffidi, Elke Markert, et al.. (2014). Transformation Resistance in a Premature Aging Disorder Identifies a Tumor-Protective Function of BRD4. Cell Reports. 9(1). 248–260. 49 indexed citations
14.
Scaffidi, Paola & Tom Misteli. (2008). Lamin A-dependent misregulation of adult stem cells associated with accelerated ageing. Nature Cell Biology. 10(4). 452–459. 412 indexed citations
15.
Scaffidi, Paola & Tom Misteli. (2006). Lamin A-Dependent Nuclear Defects in Human Aging. Science. 312(5776). 1059–1063. 904 indexed citations breakdown →
16.
Scaffidi, Paola. (2006). Good news in the nuclear envelope: loss of lamin A might be a gain. Journal of Clinical Investigation. 116(3). 632–634. 16 indexed citations
17.
Scaffidi, Paola & Tom Misteli. (2005). Reversal of the cellular phenotype in the premature aging disease Hutchinson-Gilford progeria syndrome. Nature Medicine. 11(4). 440–445. 451 indexed citations
18.
Scaffidi, Paola, Leslie B. Gordon, & Tom Misteli. (2005). The Cell Nucleus and Aging: Tantalizing Clues and Hopeful Promises. PLoS Biology. 3(11). e395–e395. 35 indexed citations
19.
Pallier, Coralie, Paola Scaffidi, A Agresti, et al.. (2003). Association of Chromatin Proteins High Mobility Group Box (HMGB) 1 and HMGB2 with Mitotic Chromosomes. Molecular Biology of the Cell. 14(8). 3414–3426. 108 indexed citations
20.
Scaffidi, Paola & Marco E. Bianchi. (2001). Spatially Precise DNA Bending Is an Essential Activity of the Sox2 Transcription Factor. Journal of Biological Chemistry. 276(50). 47296–47302. 90 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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