Francesca Giannese

644 total citations
17 papers, 357 citations indexed

About

Francesca Giannese is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Francesca Giannese has authored 17 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Physiology. Recurrent topics in Francesca Giannese's work include Single-cell and spatial transcriptomics (5 papers), Epigenetics and DNA Methylation (3 papers) and Biochemical and Molecular Research (3 papers). Francesca Giannese is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Epigenetics and DNA Methylation (3 papers) and Biochemical and Molecular Research (3 papers). Francesca Giannese collaborates with scholars based in Italy, United Kingdom and United States. Francesca Giannese's co-authors include Iain C. Macaulay, Laura Mincarelli, Dejan Lazarević, Giovanni Tonon, Massimo Degano, Davide Cittaro, Silvia Gregori, Gianna Di Sario, Claudia Felici and Valeria Rossella and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Bioinformatics.

In The Last Decade

Francesca Giannese

16 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesca Giannese Italy 10 245 70 54 45 33 17 357
Lindsey Reynolds United States 5 292 1.2× 150 2.1× 20 0.4× 73 1.6× 32 1.0× 7 411
Katelin N. Townsend Canada 11 221 0.9× 52 0.7× 135 2.5× 17 0.4× 48 1.5× 12 413
Amelia Karlsson United States 10 177 0.7× 35 0.5× 50 0.9× 37 0.8× 46 1.4× 11 323
Naman B. Shah United States 6 301 1.2× 21 0.3× 12 0.2× 22 0.5× 44 1.3× 6 475
Stefan Zalavary Sweden 10 149 0.6× 67 1.0× 12 0.2× 41 0.9× 18 0.5× 12 395
Pei Zhou China 9 371 1.5× 39 0.6× 27 0.5× 58 1.3× 25 0.8× 16 460
Gina M. Aloisio United States 8 206 0.8× 18 0.3× 45 0.8× 139 3.1× 43 1.3× 17 392
Macarena Vargas Chile 9 185 0.8× 55 0.8× 26 0.5× 24 0.5× 43 1.3× 12 323
Jenny L. Kerschner United States 16 463 1.9× 36 0.5× 32 0.6× 30 0.7× 34 1.0× 32 682
Chiara Alberti Italy 7 246 1.0× 162 2.3× 17 0.3× 16 0.4× 28 0.8× 11 370

Countries citing papers authored by Francesca Giannese

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Giannese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Giannese

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

All Works

17 of 17 papers shown
1.
Barletta, Francesco, Giuseppe Ottone Cirulli, Roberta Lucianò, et al.. (2025). DNA methylation alterations in prostate cancer: from diagnosis to treatment. Translational Andrology and Urology. 14(2). 454–462. 2 indexed citations
2.
Bido, Simone, Sharon Muggeo, Edoardo Bellini, et al.. (2024). Microglia-specific IL-10 gene delivery inhibits neuroinflammation and neurodegeneration in a mouse model of Parkinson’s disease. Science Translational Medicine. 16(761). eadm8563–eadm8563. 24 indexed citations
3.
Giannese, Francesca, Oronza A. Botrugno, Chiara Balestrieri, et al.. (2024). Scalable integration of multiomic single-cell data using generative adversarial networks. Bioinformatics. 40(5). 1 indexed citations
4.
Marco, Federico Di, Francesca De Nicola, Francesca Giannese, et al.. (2024). Dual spatial host-bacterial gene expression in Mycobacterium abscessus respiratory infections. Communications Biology. 7(1). 1287–1287. 1 indexed citations
5.
Cittaro, Davide, Dejan Lazarević, Giovanni Tonon, & Francesca Giannese. (2023). Analyzing genomic and epigenetic profiles in single cells by hybrid transposase (scGET-seq). STAR Protocols. 4(2). 102176–102176. 2 indexed citations
6.
Sario, Gianna Di, et al.. (2023). Enhancing clinical potential of liquid biopsy through a multi-omic approach: A systematic review. Frontiers in Genetics. 14. 1152470–1152470. 33 indexed citations
7.
Migliara, Alessandro, Francesca Giannese, Sara Valsoni, et al.. (2023). <em>In Vitro</em> Selection of Engineered Transcriptional Repressors for Targeted Epigenetic Silencing. Journal of Visualized Experiments.
8.
Giannese, Francesca, et al.. (2022). Into the multiverse: advances in single-cell multiomic profiling. Trends in Genetics. 38(8). 831–843. 55 indexed citations
9.
Giannese, Francesca, Dejan Lazarević, Silvia Monzani, et al.. (2021). Chromatin Velocity reveals epigenetic dynamics by single-cell profiling of heterochromatin and euchromatin. Nature Biotechnology. 40(2). 235–244. 74 indexed citations
10.
Alfano, Massimo, Filippo Pederzoli, Irene Locatelli, et al.. (2021). Aging, inflammation and DNA damage in the somatic testicular niche with idiopathic germ cell aplasia. Nature Communications. 12(1). 5205–5205. 53 indexed citations
11.
García-Manteiga, José Manuel, Ferdinando Clarelli, Silvia Bonfiglio, et al.. (2021). Identification of differential DNA methylation associated with multiple sclerosis: A family-based study. Journal of Neuroimmunology. 356. 577600–577600. 3 indexed citations
12.
Pellegrini, Silvia, Giulia Maria Scotti, Francesca Giannese, et al.. (2020). Transcriptional dynamics of induced pluripotent stem cell differentiation into β cells reveals full endodermal commitment and homology with human islets. Cytotherapy. 23(4). 311–319. 12 indexed citations
13.
Mannucci, Alessandro, Raffaella Alessia Zuppardo, Stefano Crippa, et al.. (2019). MSH6 gene pathogenic variant identified in familial pancreatic cancer in the absence of colon cancer. European Journal of Gastroenterology & Hepatology. 32(3). 345–349. 4 indexed citations
14.
Giannese, Francesca, Giulia Barbiera, Valentina Lampis, et al.. (2018). Conserved DNA Methylation Signatures in Early Maternal Separation and in Twins Discordant for CO2 Sensitivity. Scientific Reports. 8(1). 2258–2258. 14 indexed citations
15.
Giannese, Francesca, et al.. (2013). Structures of purine nucleosidase fromTrypanosoma bruceibound to isozyme-specific trypanocidals and a novel metalorganic inhibitor. Acta Crystallographica Section D Biological Crystallography. 69(8). 1553–1566. 13 indexed citations
16.
Berg, Maya, Linda Kohl, Pieter Van der Veken, et al.. (2010). Evaluation of Nucleoside Hydrolase Inhibitors for Treatment of African Trypanosomiasis. Antimicrobial Agents and Chemotherapy. 54(5). 1900–1908. 33 indexed citations
17.
Giabbai, Barbara, Laura Muzzolini, Vittoria Matafora, et al.. (2008). Structural Basis for Substrate Specificity in Group I Nucleoside Hydrolases,. Biochemistry. 47(15). 4418–4426. 33 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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