Ivan Limongelli

1.3k total citations
19 papers, 370 citations indexed

About

Ivan Limongelli is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Ivan Limongelli has authored 19 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 12 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Ivan Limongelli's work include Genomics and Rare Diseases (11 papers), Genetic Associations and Epidemiology (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Ivan Limongelli is often cited by papers focused on Genomics and Rare Diseases (11 papers), Genetic Associations and Epidemiology (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Ivan Limongelli collaborates with scholars based in Italy, United States and United Kingdom. Ivan Limongelli's co-authors include Riccardo Bellazzi, Simone Marini, Orsetta Zuffardi, Susanna Zucca, Giovanna Nicora, Annalisa Vetro, Paolo Magni, Ettore Rizzo, Roberto Ciccone and Leonardo Salviati and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Ivan Limongelli

17 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Limongelli Italy 11 187 165 34 29 26 19 370
Joanna Trubicka Poland 14 398 2.1× 83 0.5× 6 0.2× 56 1.9× 14 0.5× 31 555
Cavatina K. Truong United States 10 531 2.8× 131 0.8× 11 0.3× 32 1.1× 6 0.2× 10 659
Mirjana Gušić Germany 10 349 1.9× 96 0.6× 6 0.2× 77 2.7× 15 0.6× 13 448
Philip M. Boone United States 15 211 1.1× 240 1.5× 10 0.3× 55 1.9× 18 0.7× 21 541
William P. Bone United States 10 291 1.6× 276 1.7× 5 0.1× 79 2.7× 11 0.4× 13 484
Sarah Macklin United States 9 176 0.9× 183 1.1× 5 0.1× 43 1.5× 11 0.4× 21 423
Ornella Affinito Italy 14 290 1.6× 59 0.4× 4 0.1× 65 2.2× 23 0.9× 31 437
Zhongliang Liu China 10 189 1.0× 34 0.2× 9 0.3× 53 1.8× 12 0.5× 18 306
Jiaxin Wu China 8 431 2.3× 129 0.8× 4 0.1× 110 3.8× 11 0.4× 24 578
Simon Sadedin Australia 11 293 1.6× 201 1.2× 12 0.4× 54 1.9× 14 0.5× 17 454

Countries citing papers authored by Ivan Limongelli

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Limongelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Limongelli

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

All Works

19 of 19 papers shown
1.
Nicora, Giovanna, Andrea Gazzo, Riccardo Bellazzi, et al.. (2025). Digenic variant interpretation with hypothesis-driven explainable AI. NAR Genomics and Bioinformatics. 7(2). lqaf029–lqaf029.
2.
Limongelli, Ivan, et al.. (2024). VarChat: the generative AI assistant for the interpretation of human genomic variations. Bioinformatics. 40(4). 12 indexed citations
3.
Baldan, Federica, Chiara Gnan, Giuseppe Damante, et al.. (2024). Chromoanagenesis of chromosome 22 in a subject with obesity and borderline cognitive performance. Gene. 933. 148956–148956.
4.
Zucca, Susanna, Giovanna Nicora, Riccardo Bellazzi, et al.. (2024). An AI-based approach driven by genotypes and phenotypes to uplift the diagnostic yield of genetic diseases. Human Genetics. 144(2-3). 159–171. 8 indexed citations
5.
Shah, Ravi A., C. Anwar A. Chahal, Ghaith Sharaf Dabbagh, et al.. (2023). Cardiovascular Disease Burden, Mortality, and Sudden Death Risk in Epilepsy: A UK Biobank Study. Canadian Journal of Cardiology. 40(4). 688–695. 8 indexed citations
6.
Nicora, Giovanna, Susanna Zucca, Ivan Limongelli, Riccardo Bellazzi, & Paolo Magni. (2022). A machine learning approach based on ACMG/AMP guidelines for genomic variant classification and prioritization. Scientific Reports. 12(1). 2517–2517. 35 indexed citations
7.
8.
Nicora, Giovanna, Ivan Limongelli, Patrick Gambelli, et al.. (2018). CardioVAI: An automatic implementation of ACMG-AMP variant interpretation guidelines in the diagnosis of cardiovascular diseases. Human Mutation. 39(12). 1835–1846. 29 indexed citations
9.
Dagliati, Arianna, Valentina Tibollo, Lucia Sacchi, et al.. (2018). Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective. SHILAP Revista de lepidopterología. 5. 22 indexed citations
10.
Vetro, Annalisa, Salvatore Savasta, Cristina Cerqua, et al.. (2017). MCM5: a new actor in the link between DNA replication and Meier-Gorlin syndrome. European Journal of Human Genetics. 25(5). 646–650. 57 indexed citations
11.
Vetro, Annalisa, Didier Goidin, Ivan Limongelli, et al.. (2017). Diagnostic application of a capture based NGS test for the concurrent detection of variants in sequence and copy number as well as LOH. Clinical Genetics. 93(3). 545–556. 10 indexed citations
12.
Marini, Simone, Ivan Limongelli, Ettore Rizzo, et al.. (2016). A Data Fusion Approach to Enhance Association Study in Epilepsy. PLoS ONE. 11(12). e0164940–e0164940. 3 indexed citations
13.
Limongelli, Ivan, et al.. (2015). BigQ: a NoSQL based framework to handle genomic variants in i2b2. BMC Bioinformatics. 16(1). 415–415. 16 indexed citations
14.
Desbats, María Andrea, Annalisa Vetro, Ivan Limongelli, et al.. (2015). Primary coenzyme Q10 deficiency presenting as fatal neonatal multiorgan failure. European Journal of Human Genetics. 23(9). 1254–1258. 39 indexed citations
15.
Limongelli, Ivan, Simone Marini, & Riccardo Bellazzi. (2015). PaPI: pseudo amino acid composition to score human protein-coding variants. BMC Bioinformatics. 16(1). 123–123. 41 indexed citations
16.
Tonduti, Davide, Anna Pichiecchio, Annalisa Vetro, et al.. (2015). A novel mutation in COL4A1 gene: A possible cause of early postnatal cerebrovascular events. American Journal of Medical Genetics Part A. 167(4). 810–815. 8 indexed citations
17.
Vetro, Annalisa, Maria Iascone, Ivan Limongelli, et al.. (2015). Loss-of-FunctionFANCLMutations Associate with Severe Fanconi Anemia Overlapping the VACTERL Association. Human Mutation. 36(5). 562–568. 22 indexed citations
18.
Mina, Erika Della, Roberto Ciccone, Ivan Limongelli, et al.. (2014). Improving molecular diagnosis in epilepsy by a dedicated high-throughput sequencing platform. European Journal of Human Genetics. 23(3). 354–362. 46 indexed citations
19.
Piazza, Elena, Erika Della Mina, Ivan Limongelli, et al.. (2013). Dravet phenotype in a subject with a der(4)t(4;8)(p16.3;p23.3) without the involvement of the LETM1 gene. European Journal of Medical Genetics. 56(10). 551–555. 10 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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