Fabio Del Ben

817 total citations
35 papers, 522 citations indexed

About

Fabio Del Ben is a scholar working on Oncology, Epidemiology and Molecular Biology. According to data from OpenAlex, Fabio Del Ben has authored 35 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 8 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in Fabio Del Ben's work include Cancer Cells and Metastasis (7 papers), Sepsis Diagnosis and Treatment (5 papers) and Cancer Genomics and Diagnostics (4 papers). Fabio Del Ben is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Sepsis Diagnosis and Treatment (5 papers) and Cancer Genomics and Diagnostics (4 papers). Fabio Del Ben collaborates with scholars based in Italy, Netherlands and Argentina. Fabio Del Ben's co-authors include Matteo Turetta, Michela Bulfoni, Daniela Cesselli, G. Scoles, Antonio Paolo Beltrami, Carla Di Loreto, Aigars Piruska, Giorgia Celetti, Wilhelm T. S. Huck and Miriam Isola and has published in prestigious journals such as Angewandte Chemie International Edition, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Fabio Del Ben

30 papers receiving 520 citations

Peers

Fabio Del Ben
Fabio Del Ben
Citations per year, relative to Fabio Del Ben Fabio Del Ben (= 1×) peers Matteo Turetta

Countries citing papers authored by Fabio Del Ben

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Del Ben

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio Del Ben. 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 Fabio Del Ben. The network helps show where Fabio Del Ben may publish in the future.

Co-authorship network of co-authors of Fabio Del Ben

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Del Ben. A scholar is included among the top collaborators of Fabio Del Ben 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 Fabio Del Ben. Fabio Del Ben 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.
Ben, Fabio Del, et al.. (2025). The value of midregional proadrenomedullin to predict mortality in intensive care unit. Clinica Chimica Acta. 570. 120212–120212.
2.
Gambino, Caterina Maria, Vincenzo Di Stefano, Fabio Del Ben, et al.. (2025). Exploring the role of glial fibrillary acid protein and neurofilament light chains in patients with hereditary transthyretin amyloidosis with polyneuropathy. Diagnosis. 13(1). 106–115.
3.
Agnello, Luisa, Caterina Maria Gambino, Anna Maria Ciaccio, et al.. (2025). Establishing sex- and age-related reference intervals of serum glial fibrillary acid protein measured by the fully automated lumipulse system. Clinical Chemistry and Laboratory Medicine (CCLM). 63(7). 1402–1408. 2 indexed citations
4.
Agnello, Luisa, Caterina Maria Gambino, Anna Maria Ciaccio, et al.. (2025). The value of serum glial fibrillary acidic protein as a biomarker of astrogliosis in different neurological diseases. Clinica Chimica Acta. 572. 120248–120248. 4 indexed citations
5.
Agnello, Luisa, Caterina Maria Gambino, Fabio Del Ben, et al.. (2025). Evaluating monocyte distribution width in pediatric emergency care. Clinica Chimica Acta. 575. 120357–120357. 1 indexed citations
6.
Agnello, Luisa, Caterina Maria Gambino, Fabio Del Ben, et al.. (2025). Establishing Decisional Cutoff Values of Neurofilament Light Chains in Cerebrospinal Fluid Measured by Fully Automated Chemiluminescent Enzyme Immunoassay. Journal of Clinical Laboratory Analysis. 39(4). e25152–e25152. 2 indexed citations
7.
Agnello, Luisa, Caterina Maria Gambino, Anna Maria Ciaccio, et al.. (2024). Exploring the effect of APOE ε4 on biomarkers of neurodegeneration in Alzheimer’s disease. Clinica Chimica Acta. 562. 119876–119876. 6 indexed citations
8.
Agnello, Luisa, Anna Maria Ciaccio, Fabio Del Ben, et al.. (2024). Monocyte distribution width (MDW) kinetic for monitoring sepsis in intensive care unit. Diagnosis. 11(4). 422–429. 5 indexed citations
9.
Ben, Fabio Del, Elisabetta Fontanini, Giovanni Poli, et al.. (2024). Comparison of four D ‐dimer assays in the context of venous thromboembolism in the emergency department. International Journal of Laboratory Hematology. 46(5). 936–945. 1 indexed citations
10.
Agnello, Luisa, Anna Maria Ciaccio, Fabio Del Ben, et al.. (2024). Clinical usefulness of presepsin and monocyte distribution width (MDW) kinetic for predicting mortality in critically ill patients in intensive care unit. Frontiers in Medicine. 11. 1393843–1393843. 2 indexed citations
11.
Sozio, Emanuela, et al.. (2024). Maximally informative feature selection using Information Imbalance: Application to COVID-19 severity prediction. Scientific Reports. 14(1). 10744–10744. 3 indexed citations
12.
Agnello, Luisa, Rosaria Vincenza Giglio, Fabio Del Ben, et al.. (2024). Evaluation of core Biomarkers of Alzheimer’s disease in saliva and plasma measured by chemiluminescent enzyme immunoassays on a fully automated platform. Scientific Reports. 14(1). 16084–16084. 5 indexed citations
13.
Fabris, Martina, Fabio Del Ben, Emanuela Sozio, et al.. (2022). Cytokines from Bench to Bedside: A Retrospective Study Identifies a Definite Panel of Biomarkers to Early Assess the Risk of Negative Outcome in COVID-19 Patients. International Journal of Molecular Sciences. 23(9). 4830–4830. 10 indexed citations
14.
Turetta, Matteo, et al.. (2022). An antivenin resistant, IVIg-corticosteroids responsive viper induced thrombocytopenia. Toxicology Reports. 9. 636–639. 1 indexed citations
15.
Ben, Fabio Del, Michela Bulfoni, Matteo Turetta, et al.. (2022). Image Analysis of Circulating Tumor Cells and Leukocytes Predicts Survival and Metastatic Pattern in Breast Cancer Patients. Frontiers in Oncology. 12. 725318–725318. 6 indexed citations
16.
Muraro, Elena, Fabio Del Ben, Matteo Turetta, et al.. (2022). Clinical relevance of the combined analysis of circulating tumor cells and anti-tumor T-cell immunity in metastatic breast cancer patients. Frontiers in Oncology. 12. 983887–983887. 7 indexed citations
17.
Brisotto, Giulia, Elisabetta Rossi, Michela Bulfoni, et al.. (2020). Dysmetabolic Circulating Tumor Cells Are Prognostic in Metastatic Breast Cancer. Cancers. 12(4). 1005–1005. 9 indexed citations
18.
Turetta, Matteo, Fabio Del Ben, Giulia Brisotto, et al.. (2018). Emerging Technologies for Cancer Research: Towards Personalized Medicine with Microfluidic Platforms and 3D Tumor Models. Current Medicinal Chemistry. 25(35). 4616–4637. 29 indexed citations
19.
Venturelli, Leonardo, Silvia Nappini, Michela Bulfoni, et al.. (2016). Glucose is a key driver for GLUT1-mediated nanoparticles internalization in breast cancer cells. Scientific Reports. 6(1). 21629–21629. 61 indexed citations
20.
Castronovo, Matteo, et al.. (2013). Effects of Nanoscale Confinement on the Functionality of Nucleic Acids: Implications for Nanomedicine. Current Medicinal Chemistry. 20(28). 3539–3557. 6 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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