Chiara Lanzuolo

1.4k total citations
42 papers, 944 citations indexed

About

Chiara Lanzuolo is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Chiara Lanzuolo has authored 42 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Physiology. Recurrent topics in Chiara Lanzuolo's work include Genomics and Chromatin Dynamics (25 papers), RNA Research and Splicing (16 papers) and Nuclear Structure and Function (12 papers). Chiara Lanzuolo is often cited by papers focused on Genomics and Chromatin Dynamics (25 papers), RNA Research and Splicing (16 papers) and Nuclear Structure and Function (12 papers). Chiara Lanzuolo collaborates with scholars based in Italy, Switzerland and Germany. Chiara Lanzuolo's co-authors include Valerio Orlando, Frédéric Bantignies, Job Dekker, Virginie Roure, Federica Lo Sardo, Francesco Gregoretti, Gennaro Oliva, Andrea Bianchi, Laura Antonelli and Fabrizia Marullo and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Chiara Lanzuolo

36 papers receiving 935 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiara Lanzuolo Italy 15 850 172 73 61 48 42 944
Jennifer Hesson United States 12 1.2k 1.4× 137 0.8× 101 1.4× 71 1.2× 30 0.6× 15 1.3k
William Wagstaff United States 6 929 1.1× 258 1.5× 125 1.7× 26 0.4× 29 0.6× 8 1.1k
Jason A. Watts United States 12 862 1.0× 75 0.4× 144 2.0× 30 0.5× 36 0.8× 21 1.0k
Shufen Wang China 13 696 0.8× 46 0.3× 54 0.7× 43 0.7× 26 0.5× 26 844
Nazario Bosco United States 8 595 0.7× 102 0.6× 171 2.3× 140 2.3× 106 2.2× 10 756
Alexander S. Garrett United States 8 626 0.7× 39 0.2× 67 0.9× 27 0.4× 69 1.4× 9 779
Roberto Bernardoni Italy 12 388 0.5× 55 0.3× 30 0.4× 50 0.8× 81 1.7× 24 536
Lisa Prazak United States 9 627 0.7× 285 1.7× 122 1.7× 39 0.6× 19 0.4× 12 878
Daniel Biggs United Kingdom 9 428 0.5× 100 0.6× 132 1.8× 29 0.5× 24 0.5× 15 782
Hee-Sheung Lee United States 12 353 0.4× 58 0.3× 75 1.0× 22 0.4× 65 1.4× 14 463

Countries citing papers authored by Chiara Lanzuolo

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Lanzuolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Lanzuolo

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Lanzuolo. A scholar is included among the top collaborators of Chiara Lanzuolo 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 Chiara Lanzuolo. Chiara Lanzuolo 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.
Wang, Baihui, Rafael Kronenberg‐Tenga, Qiang Luo, et al.. (2025). The molecular basis of lamin-specific chromatin interactions. Nature Structural & Molecular Biology. 32(10). 1999–2011.
2.
Salviato, Elisa, Koustav Pal, Roberto Quadri, et al.. (2024). Biochemical properties of chromatin domains define genome compartmentalization. Nucleic Acids Research. 52(12). e54–e54. 3 indexed citations
3.
Vivo, Maria, et al.. (2024). Chromatin plasticity in mechanotransduction. Current Opinion in Cell Biology. 88. 102376–102376. 9 indexed citations
5.
Gregoretti, Francesco, et al.. (2023). Segmentation, 3D Reconstruction, and Analysis of PcG Proteins in Fluorescence Microscopy Images in Different Cell Culture Conditions. Methods in molecular biology. 2655. 147–169.
6.
Salviato, Elisa, Endre Sebestyén, Mirko Riboni, et al.. (2023). Leveraging Tissue-Specific Enhancer–Target Gene Regulatory Networks Identifies Enhancer Somatic Mutations That Functionally Impact Lung Cancer. Cancer Research. 84(1). 133–153. 2 indexed citations
7.
Gorini, Francesca, et al.. (2023). Polycomb Bodies Detection in Murine Fibromuscular Stroma from Skin, Skeletal Muscles, and Aortic Tissues. Methods in molecular biology. 2655. 125–146. 2 indexed citations
8.
Milan, Marika, et al.. (2021). Role of Cdkn2a in the Emery–Dreifuss Muscular Dystrophy Cardiac Phenotype. Biomolecules. 11(4). 538–538. 3 indexed citations
9.
Bianchi, Andrea, Chiara Mozzetta, Sara Valsoni, et al.. (2020). Dysfunctional polycomb transcriptional repression contributes to lamin A/C–dependent muscular dystrophy. Journal of Clinical Investigation. 130(5). 2408–2421. 39 indexed citations
10.
Baci, Denisa, Maila Chirivì, Valentina Pace, et al.. (2020). Extracellular Vesicles from Skeletal Muscle Cells Efficiently Promote Myogenesis in Induced Pluripotent Stem Cells. Cells. 9(6). 1527–1527. 19 indexed citations
11.
Sebestyén, Endre, Fabrizia Marullo, Andrea Bianchi, et al.. (2020). SAMMY-seq reveals early alteration of heterochromatin and deregulation of bivalent genes in Hutchinson-Gilford Progeria Syndrome. Nature Communications. 11(1). 6274–6274. 27 indexed citations
12.
Bianchi, Andrea, et al.. (2018). Mechanotransduction, nuclear architecture and epigenetics in Emery Dreifuss Muscular Dystrophy: tous pour un, un pour tous. Nucleus. 9(1). 321–335. 14 indexed citations
13.
Bodega, Beatrice, Valeria Ranzani, Alessandro Cherubini, et al.. (2017). A cytosolic Ezh1 isoform modulates a PRC2–Ezh1 epigenetic adaptive response in postmitotic cells. Nature Structural & Molecular Biology. 24(5). 444–452. 31 indexed citations
14.
Gregoretti, Francesco, Elisa Cesarini, Chiara Lanzuolo, Gennaro Oliva, & Laura Antonelli. (2016). An Automatic Segmentation Method Combining an Active Contour Model and a Classification Technique for Detecting Polycomb-group Proteinsin High-Throughput Microscopy Images. Methods in molecular biology. 1480. 181–197. 6 indexed citations
15.
Cernilogar, Filippo M., A. Maxwell Burroughs, Chiara Lanzuolo, et al.. (2013). RNA-Interference Components Are Dispensable for Transcriptional Silencing of the Drosophila Bithorax-Complex. PLoS ONE. 8(6). e65740–e65740. 6 indexed citations
16.
Sardo, Federica Lo, Chiara Lanzuolo, Federico Comoglio, et al.. (2013). PcG-Mediated Higher-Order Chromatin Structures Modulate Replication Programs at the Drosophila BX-C. PLoS Genetics. 9(2). e1003283–e1003283. 14 indexed citations
17.
Zio, Daniela De, Matteo Bordi, Chiara Lanzuolo, et al.. (2010). The DNA repair complex Ku70/86 modulates Apaf1 expression upon DNA damage. Cell Death and Differentiation. 18(3). 516–527. 22 indexed citations
19.
Lanzuolo, Chiara & Valerio Orlando. (2007). The function of the epigenome in cell reprogramming. Cellular and Molecular Life Sciences. 64(9). 1043–1062. 31 indexed citations
20.
Eugster, Anne, Chiara Lanzuolo, Alessandra Pollice, et al.. (2006). The finger subdomain of yeast telomerase cooperates with Pif1 p to limit telomere elongation. HAL (Le Centre pour la Communication Scientifique Directe). 2 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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