Rosalba Giugno

5.4k total citations
108 papers, 2.8k citations indexed

About

Rosalba Giugno is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Rosalba Giugno has authored 108 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 25 papers in Cancer Research and 18 papers in Artificial Intelligence. Recurrent topics in Rosalba Giugno's work include Bioinformatics and Genomic Networks (22 papers), MicroRNA in disease regulation (21 papers) and Cancer-related molecular mechanisms research (13 papers). Rosalba Giugno is often cited by papers focused on Bioinformatics and Genomic Networks (22 papers), MicroRNA in disease regulation (21 papers) and Cancer-related molecular mechanisms research (13 papers). Rosalba Giugno collaborates with scholars based in Italy, United States and Finland. Rosalba Giugno's co-authors include Alfredo Pulvirenti, Alfredo Ferro, Dennis Shasha, Jason T. L. Wang, Salvatore Alaimo, Vincenzo Bonnici, Alessandro Laganà, Francesco Russo, Giuseppe Pigola and Tarja Malm and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Bioinformatics.

In The Last Decade

Rosalba Giugno

101 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rosalba Giugno Italy	31	1.5k	639	522	508	337	108	2.8k
Alfredo Ferro Italy	30	1.4k 0.9×	784 1.2×	267 0.5×	395 0.8×	159 0.5×	109	2.3k
Ming Hao United States	26	2.4k 1.6×	621 1.0×	560 1.1×	452 0.9×	261 0.8×	126	5.1k
Malik Yousef Israel	25	1.3k 0.9×	717 1.1×	212 0.4×	911 1.8×	119 0.4×	101	3.0k
Kevin Y. Yip Hong Kong	33	2.2k 1.5×	366 0.6×	141 0.3×	521 1.0×	264 0.8×	106	3.4k
Pietro Hiram Guzzi Italy	29	1.7k 1.1×	385 0.6×	214 0.4×	400 0.8×	64 0.2×	221	3.2k
Jun Sese Japan	27	1.9k 1.3×	226 0.4×	280 0.5×	518 1.0×	114 0.3×	82	3.6k
Chun-Hou Zheng China	34	2.5k 1.7×	652 1.0×	1.1k 2.1×	1.1k 2.1×	283 0.8×	261	4.5k
Lance Parsons United States	21	844 0.6×	236 0.4×	453 0.9×	699 1.4×	211 0.6×	33	2.4k
Giancarlo Mauri Italy	33	2.5k 1.7×	382 0.6×	495 0.9×	1.0k 2.0×	63 0.2×	287	4.7k
Amir Ben‐Dor United States	24	2.9k 1.9×	508 0.8×	267 0.5×	796 1.6×	92 0.3×	53	4.7k

Countries citing papers authored by Rosalba Giugno

Since Specialization

Citations

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

Fields of papers citing papers by Rosalba Giugno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosalba Giugno

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bonnici, Vincenzo, et al.. (2025). MultiGraphMatch: A Subgraph Matching Algorithm for Multigraphs. ACM Transactions on Knowledge Discovery from Data. 19(5). 1–36.

Perricone, Ugo, et al.. (2025). APBIO: bioactive profiling of air pollutants through inferred bioactivity signatures and prediction of novel target interactions. Journal of Cheminformatics. 17(1). 13–13. 1 indexed citations

Pravadelli, Graziano, et al.. (2024). Enhancing Freezing of Gait Detection in Parkinson’s Through Fine-Tuned Deep Learning Models. 87–94.

Bonnici, Vincenzo, et al.. (2023). PanDelos-frags: A methodology for discovering pangenomic content of incomplete microbial assemblies. Journal of Biomedical Informatics. 148. 104552–104552. 2 indexed citations

Giudice, Luca, et al.. (2023). Esearch3D: propagating gene expression in chromatin networks to illuminate active enhancers. Nucleic Acids Research. 51(10). e55–e55. 3 indexed citations

Giugno, Rosalba, et al.. (2023). A survey on algorithms to characterize transcription factor binding sites. Briefings in Bioinformatics. 24(3). 13 indexed citations

Bonnici, Vincenzo, et al.. (2022). Stardust : improving spatial transcriptomics data analysis through space-aware modularity optimization-based clustering. GigaScience. 11. 8 indexed citations

Zeng, Jing, Jiecong Lin, Nicola Bombieri, et al.. (2022). Human genetic diversity alters off-target outcomes of therapeutic gene editing. Nature Genetics. 55(1). 34–43. 57 indexed citations

Bonnici, Vincenzo, et al.. (2021). GRAFIMO: Variant and haplotype aware motif scanning on pangenome graphs. PLoS Computational Biology. 17(9). e1009444–e1009444. 4 indexed citations

10.

Cascione, Luciano, Chiara Tarantelli, Andrea Rinaldi, et al.. (2021). Exon–Intron Differential Analysis Reveals the Role of Competing Endogenous RNAs in Post-Transcriptional Regulation of Translation. Non-Coding RNA. 7(2). 26–26. 3 indexed citations

11.

Giannuzzi, Diana, Luca Giudice, Laura Marconato, et al.. (2020). Integrated analysis of transcriptome, methylome and copy number aberrations data of marginal zone lymphoma and follicular lymphoma in dog. Veterinary and Comparative Oncology. 18(4). 645–655. 9 indexed citations

12.

Kołosowska, Natalia, Hiramani Dhungana, Luca Giudice, et al.. (2020). Intracerebral overexpression of miR-669c is protective in mouse ischemic stroke model by targeting MyD88 and inducing alternative microglial/macrophage activation. Journal of Neuroinflammation. 17(1). 194–194. 23 indexed citations

13.

Cascione, Luciano, Luca Giudice, Serena Ferraresso, et al.. (2019). Long Non-Coding RNAs as Molecular Signatures for Canine B-Cell Lymphoma Characterization. Non-Coding RNA. 5(3). 47–47. 10 indexed citations

14.

Adamo, Annalisa, Jessica Brandi, Simone Caligola, et al.. (2019). Extracellular Vesicles Mediate Mesenchymal Stromal Cell-Dependent Regulation of B Cell PI3K-AKT Signaling Pathway and Actin Cytoskeleton. Frontiers in Immunology. 10. 446–446. 81 indexed citations

15.

L’Episcopo, Francesca, Janelle Drouin‐Ouellet, Cataldo Tirolo, et al.. (2016). GSK-3β-induced Tau pathology drives hippocampal neuronal cell death in Huntington’s disease: involvement of astrocyte–neuron interactions. Cell Death and Disease. 7(4). e2206–e2206. 78 indexed citations

16.

Giugno, Rosalba, Alfredo Pulvirenti, Luciano Cascione, Giuseppe Pigola, & Alfredo Ferro. (2013). MIDClass: Microarray Data Classification by Association Rules and Gene Expression Intervals. PLoS ONE. 8(8). e69873–e69873. 12 indexed citations

17.

Bonnici, Vincenzo, Rosalba Giugno, Alfredo Pulvirenti, Dennis Shasha, & Alfredo Ferro. (2013). A subgraph isomorphism algorithm and its application to biochemical data. BMC Bioinformatics. 14(S7). S13–S13. 115 indexed citations

18.

Distefano, Rosario, Giovanni Nigita, Alessandro Laganà, et al.. (2013). VIRGO: visualization of A-to-I RNA editing sites in genomic sequences. BMC Bioinformatics. 14(S7). S5–S5. 9 indexed citations

19.

Russo, Francesco, Sebastiano Di Bella, Giovanni Nigita, et al.. (2012). miRandola: Extracellular Circulating MicroRNAs Database. PLoS ONE. 7(10). e47786–e47786. 138 indexed citations

20.

Mongiovı̀, Misael, et al.. (2009). A set-cover-based approach for inexact graph matching. 81–90. 3 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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