Maria De Bonis

527 total citations
32 papers, 320 citations indexed

About

Maria De Bonis is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Maria De Bonis has authored 32 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Genetics and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Maria De Bonis's work include BRCA gene mutations in cancer (10 papers), CRISPR and Genetic Engineering (7 papers) and Cancer Genomics and Diagnostics (6 papers). Maria De Bonis is often cited by papers focused on BRCA gene mutations in cancer (10 papers), CRISPR and Genetic Engineering (7 papers) and Cancer Genomics and Diagnostics (6 papers). Maria De Bonis collaborates with scholars based in Italy, Japan and Canada. Maria De Bonis's co-authors include Ettore Capoluongo, Angelo Minucci, Elisa De Paolis, Giulia Canu, Giovanni Luca Scaglione, Giovanni Scambia, Paola Concolino, Gabriella Ferrandina, Anna Fagotti and Andrea Urbani and has published in prestigious journals such as International Journal of Molecular Sciences, Annals of Oncology and British Journal of Haematology.

In The Last Decade

Maria De Bonis

30 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria De Bonis Italy 10 114 93 65 57 57 32 320
Nisreen Abu Shahin Jordan 12 138 1.2× 28 0.3× 49 0.8× 62 1.1× 171 3.0× 40 466
Asad Haider United States 6 75 0.7× 26 0.3× 49 0.8× 65 1.1× 146 2.6× 13 287
Weizhi Xue China 10 271 2.4× 85 0.9× 23 0.4× 45 0.8× 65 1.1× 12 406
Seon Kyung Lee South Korea 11 99 0.9× 45 0.5× 28 0.4× 63 1.1× 83 1.5× 31 314
Julie Irving Canada 6 184 1.6× 35 0.4× 80 1.2× 91 1.6× 160 2.8× 6 359
Hualei Bu China 11 173 1.5× 59 0.6× 34 0.5× 118 2.1× 102 1.8× 24 354
KC Moon South Korea 11 185 1.6× 40 0.4× 118 1.8× 45 0.8× 10 0.2× 19 409
Cunxian Zhang United States 11 60 0.5× 31 0.3× 50 0.8× 71 1.2× 134 2.4× 30 347
Maria M. Rubinstein United States 10 82 0.7× 17 0.2× 28 0.4× 105 1.8× 107 1.9× 26 304

Countries citing papers authored by Maria De Bonis

Since Specialization
Citations

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

Fields of papers citing papers by Maria De Bonis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria De Bonis. 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 Maria De Bonis. The network helps show where Maria De Bonis may publish in the future.

Co-authorship network of co-authors of Maria De Bonis

This figure shows the co-authorship network connecting the top 25 collaborators of Maria De Bonis. A scholar is included among the top collaborators of Maria De Bonis 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 Maria De Bonis. Maria De Bonis 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.
Costa, Simonetta, Angelo Minucci, Maria De Bonis, et al.. (2024). Pathogenic G6PD variants: Different clinical pictures arise from different missense mutations in the same codon. British Journal of Haematology. 205(5). 1985–1994. 1 indexed citations
2.
Boldrini, Luca, Giuditta Chiloiro, Angela Romano, et al.. (2024). MOREOVER: multiomics MR-guided radiotherapy optimization in locally advanced rectal cancer. Radiation Oncology. 19(1). 94–94. 6 indexed citations
3.
Paolis, Elisa De, Camilla Nero, Elisa Micarelli, et al.. (2024). Characterization of shared neoantigens landscape in Mismatch Repair Deficient Endometrial Cancer. npj Precision Oncology. 8(1). 283–283. 1 indexed citations
5.
Paolis, Elisa De, Bruno Tilocca, Maria De Bonis, et al.. (2023). Next-Generation Sequencing for Screening Analysis of Cystic Fibrosis: Spectrum and Novel Variants in a South–Central Italian Cohort. Genes. 14(8). 1608–1608. 2 indexed citations
7.
Cesari, Eleonora, Alessandra Ciucci, Marco Pieraccioli, et al.. (2023). Dual inhibition of CDK12 and CDK13 uncovers actionable vulnerabilities in patient-derived ovarian cancer organoids. Journal of Experimental & Clinical Cancer Research. 42(1). 126–126. 25 indexed citations
8.
Giacò, Luciano, Fernando Palluzzi, Davide Guido, et al.. (2022). A Computational Framework for Comprehensive Genomic Profiling in Solid Cancers: The Analytical Performance of a High-Throughput Assay for Small and Copy Number Variants. Cancers. 14(24). 6152–6152. 6 indexed citations
9.
Moffa, Simona, Maria De Bonis, Elisa De Paolis, et al.. (2021). Identification of two novel LDLR variants by Next Generation Sequencing.. PubMed. 56(1). 122–127. 3 indexed citations
10.
Paolis, Elisa De, Maria De Bonis, Paola Concolino, et al.. (2020). Droplet digital PCR for large genomic rearrangements detection: A promising strategy in tissue BRCA1 testing. Clinica Chimica Acta. 513. 17–24. 16 indexed citations
11.
Gallotta, Valerio, Matteo Bruno, Carmine Conte, et al.. (2020). Salvage lymphadenectomy in recurrent ovarian cancer patients: Analysis of clinical outcome and BRCA1/2 gene mutational status. European Journal of Surgical Oncology. 46(7). 1327–1333. 37 indexed citations
12.
Scaglione, Giovanni Luca, Luca Fania, Elisa De Paolis, et al.. (2019). Evaluation of cutaneous, oral and intestinal microbiota in patients affected by pemphigus and bullous pemphigoid: A pilot study. Experimental and Molecular Pathology. 112. 104331–104331. 19 indexed citations
13.
Paolis, Elisa De, Angelo Minucci, Maria De Bonis, et al.. (2018). A rapid screening of a recurrent CYP24A1 pathogenic variant opens the way to molecular testing for Idiopathic Infantile Hypercalcemia (IIH). Clinica Chimica Acta. 482. 8–13. 8 indexed citations
14.
Minucci, Angelo, Paola Concolino, Maria De Bonis, et al.. (2018). Preliminary molecular evidence associating a novel BRCA1 synonymous variant with hereditary ovarian cancer syndrome. Human Genome Variation. 5(1). 2–2. 4 indexed citations
17.
Concolino, Paola, Karl Hackmann, Angelo Minucci, et al.. (2017). Identification and Characterization of a New BRCA2 Rearrangement in an Italian Family with Hereditary Breast and Ovarian Cancer Syndrome. Molecular Diagnosis & Therapy. 21(5). 539–545. 12 indexed citations
18.
Canu, Giulia, Maria De Bonis, Angelo Minucci, & Ettore Capoluongo. (2016). Red blood cell PK deficiency: An update of PK-LR gene mutation database. Blood Cells Molecules and Diseases. 57. 100–109. 52 indexed citations
19.
Minucci, Angelo, Giovanni Scambia, Cristina Santonocito, et al.. (2015). Clinical impact on ovarian cancer patients of massive parallel sequencing forBRCAmutation detection: the experience at Gemelli hospital and a literature review. Expert Review of Molecular Diagnostics. 15(10). 1383–1403. 27 indexed citations
20.
Minucci, Angelo, Giulia Canu, Maria De Bonis, Elisabetta Delibato, & Ettore Capoluongo. (2014). Is capillary electrophoresis on microchip devices able to genotype uridine diphosphate glucuronosyltransferase 1A1 TATA‐box polymorphisms?. Journal of Separation Science. 37(12). 1521–1523. 4 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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