Elisa Cesarini

501 total citations
9 papers, 391 citations indexed

About

Elisa Cesarini is a scholar working on Molecular Biology, Geriatrics and Gerontology and Biophysics. According to data from OpenAlex, Elisa Cesarini has authored 9 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Geriatrics and Gerontology and 2 papers in Biophysics. Recurrent topics in Elisa Cesarini's work include Genomics and Chromatin Dynamics (5 papers), DNA Repair Mechanisms (3 papers) and Nuclear Structure and Function (2 papers). Elisa Cesarini is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), DNA Repair Mechanisms (3 papers) and Nuclear Structure and Function (2 papers). Elisa Cesarini collaborates with scholars based in Italy, France and Israel. Elisa Cesarini's co-authors include Giorgio Camilloni, Francesca Felice, Chiara Lanzuolo, Francesco Gregoretti, Gennaro Oliva, Laura Antonelli, Fabrizia Marullo, Nir Friedman, Barbara Celona and Assaf Weiner and has published in prestigious journals such as The Journal of Cell Biology, PLoS ONE and PLoS Biology.

In The Last Decade

Elisa Cesarini

8 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elisa Cesarini Italy	7	298	48	45	43	40	9	391
Jacopo Lucci Italy	9	204 0.7×	16 0.3×	16 0.4×	10 0.2×	27 0.7×	15	300
Im Sun Woo South Korea	12	300 1.0×	8 0.2×	38 0.8×	13 0.3×	57 1.4×	15	396
Donald R. Walkinshaw Canada	8	280 0.9×	11 0.2×	23 0.5×	18 0.4×	70 1.8×	9	382
D. Meisse France	8	279 0.9×	16 0.3×	13 0.3×	7 0.2×	45 1.1×	8	380
Xiaofan Tan China	9	164 0.6×	6 0.1×	25 0.6×	31 0.7×	25 0.6×	13	326
Kaiqiang You China	7	347 1.2×	9 0.2×	19 0.4×	9 0.2×	63 1.6×	10	410
Mélanie Chypre France	4	212 0.7×	7 0.1×	73 1.6×	8 0.2×	32 0.8×	6	377
Linda Tillmar Sweden	10	208 0.7×	11 0.2×	19 0.4×	7 0.2×	34 0.8×	11	340
Michelle Grace Acoba United States	7	206 0.7×	10 0.2×	14 0.3×	66 1.5×	49 1.2×	8	272

Countries citing papers authored by Elisa Cesarini

Since Specialization

Citations

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

Fields of papers citing papers by Elisa Cesarini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisa Cesarini

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

All Works

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9 of 9 papers shown

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.

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

Marullo, Fabrizia, Elisa Cesarini, Laura Antonelli, et al.. (2016). Nucleoplasmic Lamin A/C and Polycomb group of proteins: An evolutionarily conserved interplay. Nucleus. 7(2). 103–111. 31 indexed citations

Cesarini, Elisa, Chiara Mozzetta, Fabrizia Marullo, et al.. (2015). Lamin A/C sustains PcG protein architecture, maintaining transcriptional repression at target genes. The Journal of Cell Biology. 211(3). 533–551. 86 indexed citations

Cesarini, Elisa, et al.. (2012). H4K16 acetylation affects recombination and ncRNA transcription at rDNA inSaccharomyces cerevisiae. Molecular Biology of the Cell. 23(14). 2770–2781. 21 indexed citations

Orecchia, Angela, Claudia Scarponi, Francesca Felice, et al.. (2011). Sirtinol Treatment Reduces Inflammation in Human Dermal Microvascular Endothelial Cells. PLoS ONE. 6(9). e24307–e24307. 61 indexed citations

Celona, Barbara, Assaf Weiner, Francesca Felice, et al.. (2011). Substantial Histone Reduction Modulates Genomewide Nucleosomal Occupancy and Global Transcriptional Output. PLoS Biology. 9(6). e1001086–e1001086. 155 indexed citations

Orecchia, Angela, Claudia Scarponi, Francesca Felice, et al.. (2011). Correction: Sirtinol Treatment Reduces Inflammation in Human Dermal Microvascular Endothelial Cells. PLoS ONE. 6(10). 13 indexed citations

Cesarini, Elisa, Francesca Romana Mariotti, Francesco Cioci, & Giorgio Camilloni. (2009). RNA Polymerase I Transcription Silences Noncoding RNAs at the Ribosomal DNA Locus in Saccharomyces cerevisiae. Eukaryotic Cell. 9(2). 325–335. 18 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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