Dario de Biase

5.4k total citations
197 papers, 3.2k citations indexed

About

Dario de Biase is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Dario de Biase has authored 197 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Oncology, 56 papers in Cancer Research and 55 papers in Molecular Biology. Recurrent topics in Dario de Biase's work include Cancer Genomics and Diagnostics (30 papers), Glioma Diagnosis and Treatment (27 papers) and Thyroid Cancer Diagnosis and Treatment (25 papers). Dario de Biase is often cited by papers focused on Cancer Genomics and Diagnostics (30 papers), Glioma Diagnosis and Treatment (27 papers) and Thyroid Cancer Diagnosis and Treatment (25 papers). Dario de Biase collaborates with scholars based in Italy, United States and United Kingdom. Dario de Biase's co-authors include Giovanni Tallini, Annalisa Pession, Michela Visani, Giorgia Acquaviva, Gianluca Marucci, Moira Ragazzi, Luca Morandi, Antonio De Leo, Alessia Ciarrocchi and Alba A. Brandes and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dario de Biase

180 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dario de Biase Italy 31 1.2k 983 912 625 566 197 3.2k
Jae‐Kyung Won South Korea 31 1.0k 0.9× 683 0.7× 879 1.0× 852 1.4× 881 1.6× 134 3.4k
Kristian Unger Germany 31 1.6k 1.3× 935 1.0× 667 0.7× 446 0.7× 545 1.0× 101 2.9k
Elizabeth Mambo United States 25 2.5k 2.2× 983 1.0× 757 0.8× 520 0.8× 683 1.2× 29 3.6k
Barry R. Davies United Kingdom 33 2.1k 1.8× 584 0.6× 1.0k 1.1× 735 1.2× 217 0.4× 99 3.4k
Richard Flavin Ireland 31 2.0k 1.7× 1.6k 1.7× 763 0.8× 822 1.3× 241 0.4× 90 3.6k
Yoon‐La Choi South Korea 35 1.4k 1.2× 1.1k 1.1× 1.6k 1.7× 930 1.5× 156 0.3× 125 3.7k
Sandrine Rorive Belgium 33 1.5k 1.3× 763 0.8× 1.1k 1.2× 451 0.7× 142 0.3× 101 3.9k
Mathilde Sibony France 33 2.0k 1.7× 911 0.9× 735 0.8× 1.4k 2.3× 609 1.1× 128 4.4k
Bassem R. Haddad United States 33 2.4k 2.0× 718 0.7× 1.0k 1.1× 466 0.7× 589 1.0× 81 4.4k
Claude Chelala United Kingdom 36 2.1k 1.8× 1.0k 1.1× 1.6k 1.8× 317 0.5× 248 0.4× 100 4.3k

Countries citing papers authored by Dario de Biase

Since Specialization
Citations

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

Fields of papers citing papers by Dario de Biase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dario de Biase. 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 Dario de Biase. The network helps show where Dario de Biase may publish in the future.

Co-authorship network of co-authors of Dario de Biase

This figure shows the co-authorship network connecting the top 25 collaborators of Dario de Biase. A scholar is included among the top collaborators of Dario de Biase 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 Dario de Biase. Dario de Biase 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
2.
Rosellini, Matteo, Veronica Mollica, Andrea Marchetti, et al.. (2025). Insights into the impact of chromosome 3p mutations in advanced renal cell carcinoma treated with immune-based combinations or targeted therapy: A single-center experience. Pathology - Research and Practice. 270. 155964–155964.
3.
Baldassarre, Gustavo, Gabriella Cirmena, Dario de Biase, et al.. (2025). Liquid biopsy in prostate cancer: A multidisciplinary expert consensus statement. Tumori Journal. 111(6). 496–505.
5.
Nunno, Vincenzo Di, Lidia Gatto, Alicia Tosoni, et al.. (2024). TP53 mutations and survival in patients with histologically defined Glioblastoma, IDH-wildtype. Pathology - Research and Practice. 262. 155516–155516.
6.
Biase, Dario de, Jacopo Lenzi, Claudio Ceccarelli, et al.. (2024). Spatial Cancer-Immune Phenotypes Predict Shorter Recurrence-Free Survival in the No Specific Molecular Profile Molecular Subtype of Endometrial Carcinoma. Modern Pathology. 38(1). 100624–100624. 4 indexed citations
7.
Maloberti, Thais, Antonio De Leo, Elisa Gruppioni, et al.. (2024). Molecular Characterization of Advanced-Stage Melanomas in Clinical Practice Using a Laboratory-Developed Next-Generation Sequencing Panel. Diagnostics. 14(8). 800–800. 3 indexed citations
8.
Ravegnini, Gloria, Camelia Alexandra Coadǎ, Antonio De Leo, et al.. (2024). miRNA levels are associated with body mass index in endometrial cancer and may have implications for therapy. Cancer Science. 115(3). 883–893. 2 indexed citations
9.
Nunno, Vincenzo Di, Stefania Bartolini, Lidia Gatto, et al.. (2023). The Biological and Clinical Role of the Telomerase Reverse Transcriptase Gene in Glioblastoma: A Potential Therapeutic Target?. Cells. 13(1). 44–44. 5 indexed citations
10.
Coadǎ, Camelia Alexandra, Marco Tesei, Antonio De Leo, et al.. (2023). A Radiomic-Based Machine Learning Model Predicts Endometrial Cancer Recurrence Using Preoperative CT Radiomic Features: A Pilot Study. Cancers. 15(18). 4534–4534. 10 indexed citations
11.
Maloberti, Thais, Antonio De Leo, Elisa Gruppioni, et al.. (2023). Multi-Gene Next-Generation Sequencing Panel for Analysis of BRCA1/BRCA2 and Homologous Recombination Repair Genes Alterations Metastatic Castration-Resistant Prostate Cancer. International Journal of Molecular Sciences. 24(10). 8940–8940. 3 indexed citations
12.
Brunetti, Barbara, et al.. (2023). Validation of p53 Immunohistochemistry (PAb240 Clone) in Canine Tumors with Next-Generation Sequencing (NGS) Analysis. Animals. 13(5). 899–899. 3 indexed citations
13.
Maloberti, Thais, Antonio De Leo, Michela Visani, et al.. (2022). BRAF and MLH1 Analysis Algorithm for the Evaluation of Lynch Syndrome Risk in Colorectal Carcinoma Patients: Evidence-Based Data from the Analysis of 100 Consecutive Cases. SHILAP Revista de lepidopterología. 3(3). 115–124. 3 indexed citations
14.
Perrone, Anna Myriam, Antonio De Leo, Dario de Biase, Gloria Ravegnini, & Pierandrea De Iaco. (2021). Endometrial carcinoma: past, present, and future. European Journal of Gynaecological Oncology. 42(4). 610–610. 5 indexed citations
15.
Coadǎ, Camelia Alexandra, Giulia Dondi, Gloria Ravegnini, et al.. (2021). Classification Systems of Endometrial Cancer: A Comparative Study about Old and New. Diagnostics. 12(1). 33–33. 4 indexed citations
16.
Palicelli, Andrea, Martina Bonacini, Stefania Croci, et al.. (2021). What Do We Have to Know about PD-L1 Expression in Prostate Cancer? A Systematic Literature Review. Part 7: PD-L1 Expression in Liquid Biopsy. Journal of Personalized Medicine. 11(12). 1312–1312. 6 indexed citations
17.
Gugnoni, Mila, Veronica Manicardi, Federica Torricelli, et al.. (2020). Linc00941 Is a Novel Transforming Growth Factor β Target That Primes Papillary Thyroid Cancer Metastatic Behavior by Regulating the Expression of Cadherin 6. Thyroid. 31(2). 247–263. 37 indexed citations
18.
Repaci, Andrea, Valentina Vicennati, Alexandro Paccapelo, et al.. (2019). BRAF V600E Status and Stimulated Thyroglobulin at Ablation Time Increase Prognostic Value of American Thyroid Association Classification Systems for Persistent Disease in Differentiated Thyroid Carcinoma. International Journal of Endocrinology. 2019. 1–7. 2 indexed citations
19.
Grizzi, Fabio, Sirio Fiorino, Dorina Qehajaj, et al.. (2019). Computer-aided assessment of the extra-cellular matrix during pancreatic carcinogenesis: a pilot study. Journal of Translational Medicine. 17(1). 11 indexed citations
20.
Asioli, Sofia, Alberto Righi, Dario de Biase, et al.. (2011). Expression of p63 is the sole independent marker of aggressiveness in localised (stage I–II) Merkel cell carcinomas. Modern Pathology. 24(11). 1451–1461. 58 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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