Bruna Cerbelli

2.4k total citations
98 papers, 1.5k citations indexed

About

Bruna Cerbelli is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Bruna Cerbelli has authored 98 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Oncology, 24 papers in Pulmonary and Respiratory Medicine and 20 papers in Surgery. Recurrent topics in Bruna Cerbelli's work include Cancer Immunotherapy and Biomarkers (26 papers), Lung Cancer Treatments and Mutations (9 papers) and Head and Neck Cancer Studies (8 papers). Bruna Cerbelli is often cited by papers focused on Cancer Immunotherapy and Biomarkers (26 papers), Lung Cancer Treatments and Mutations (9 papers) and Head and Neck Cancer Studies (8 papers). Bruna Cerbelli collaborates with scholars based in Italy, United Kingdom and Spain. Bruna Cerbelli's co-authors include Andrea Botticelli, Paolo Marchetti, Giulia d’Amati, Marianna Nuti, Ilaria Grazia Zizzari, Annalinda Pisano, Federica Mazzuca, Francesca Romana Di Pietro, Carla Giordano and Lidia Strigari and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Bruna Cerbelli

89 papers receiving 1.5k citations

Peers

Bruna Cerbelli

ONCOL

PRM

IMMUN

SURGE

Pawan Kumar United States

Chiara Mignogna Italy

Kohei Shomori Japan

Dariusz Lange Poland

Jinping Lai United States

Jay M. Lee United States

Liping Zhuang China

Min Dong China

Yehua Shen China

Pawan Kumar United States

Bruna Cerbelli

761 ×1.1

ONCOL

869 ×1.9

162 ×0.6

PRM

303 ×1.2

IMMUN

163 ×0.8

SURGE

Citations per year, relative to Bruna Cerbelli Bruna Cerbelli (= 1×) peers Pawan Kumar

Countries citing papers authored by Bruna Cerbelli

Since Specialization

Citations

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

Fields of papers citing papers by Bruna Cerbelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruna Cerbelli

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

All Works

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20 of 20 papers shown

Botticelli, Andrea, Simone Scagnoli, Valentina Guarneri, et al.. (2025). 15P The ROME trial: Personalized target therapy and immunotherapy in the breast cancer subgroup. ESMO Open. 10. 104569–104569. 1 indexed citations

Botticelli, Andrea, Alessio Cirillo, Giulia d’Amati, et al.. (2024). The role of CD73 in predicting the response to immunotherapy in head and neck cancer patients. Pathology - Research and Practice. 260. 155415–155415. 2 indexed citations

Cirillo, Alessio, Daniele Marinelli, Umberto Romeo, et al.. (2024). Pembrolizumab-based first-line treatment for PD-L1-positive, recurrent or metastatic head and neck squamous cell carcinoma: a retrospective analysis. BMC Cancer. 24(1). 430–430. 4 indexed citations

Gigante, Antonietta, Rosario Cianci, Chiara Pellicano, et al.. (2024). Kidney Biopsy and Immuno-Rheumatological Diseases: A Retrospective and Observational Study. Journal of Personalized Medicine. 14(1). 92–92. 1 indexed citations

Ivanova, Mariia, Dario Trapani, Konstantinos Venetis, et al.. (2024). Early Breast Cancer Risk Assessment: Integrating Histopathology with Artificial Intelligence. Cancers. 16(11). 1981–1981. 10 indexed citations

Cirillo, Alessio, Ilaria Grazia Zizzari, Andrea Botticelli, et al.. (2023). Circulating CD137+ T Cell Levels Are Correlated with Response to Pembrolizumab Treatment in Advanced Head and Neck Cancer Patients. International Journal of Molecular Sciences. 24(8). 7114–7114. 9 indexed citations

Rosso, Pamela, Serena Colafrancesco, Roberta Priori, et al.. (2023). Involvement of Substance P (SP) and Its Related NK1 Receptor in Primary Sjögren’s Syndrome (pSS) Pathogenesis. Cells. 12(10). 1347–1347. 3 indexed citations

Santucci, Domiziana, Eliodoro Faiella, Bruno Beomonte Zobel, et al.. (2021). On the Additional Information Provided by 3T-MRI ADC in Predicting Tumor Cellularity and Microscopic Behavior. Cancers. 13(20). 5167–5167. 10 indexed citations

Mezi, Silvia, Andrea Botticelli, Giulia Pomati, et al.. (2021). Standard of Care and Promising New Agents for the Treatment of Mesenchymal Triple-Negative Breast Cancer. Cancers. 13(5). 1080–1080. 14 indexed citations

10.

Fusco, Nicola, Moira Ragazzi, Elham Sajjadi, et al.. (2021). Assessment of estrogen receptor low positive status in breast cancer: Implications for pathologists and oncologists.. PubMed. 36(12). 1235–1245. 26 indexed citations

11.

Napoletano, Chiara, Zilu Ye, Hassan Rahimi, et al.. (2020). Investigating Patterns of Immune Interaction in Ovarian Cancer: Probing the O-glycoproteome by the Macrophage Galactose-Like C-Type Lectin (MGL). Cancers. 12(10). 2841–2841. 14 indexed citations

12.

Cerbelli, Bruna, Simone Scagnoli, Silvia Mezi, et al.. (2020). Tissue Immune Profile: A Tool to Predict Response to Neoadjuvant Therapy in Triple Negative Breast Cancer. Cancers. 12(9). 2648–2648. 18 indexed citations

13.

Pelullo, Maria, Carmine Nicoletti, Zein Mersini Besharat, et al.. (2019). Kras/ADAM17-Dependent Jag1-ICD Reverse Signaling Sustains Colorectal Cancer Progression and Chemoresistance. Cancer Research. 79(21). 5575–5586. 27 indexed citations

14.

Colafrancesco, Serena, Roberta Priori, Charlotte G. Smith, et al.. (2019). CXCL13 as biomarker for histological involvement in Sjögren’s syndrome. Lara D. Veeken. 59(1). 165–170. 30 indexed citations

15.

Cerbelli, Bruna, Andrea Botticelli, Annalinda Pisano, et al.. (2019). CD73 expression and pathologic response to neoadjuvant chemotherapy in triple negative breast cancer. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 476(4). 569–576. 27 indexed citations

16.

Angelini, Giulia, Lidia Castagneto‐Gissey, Carla Giordano, et al.. (2019). New insight into the mechanisms of ectopic fat deposition improvement after bariatric surgery. Scientific Reports. 9(1). 17315–17315. 25 indexed citations

17.

Cerbelli, Bruna, Andrea Botticelli, Annalinda Pisano, et al.. (2019). Breast cancer subtypes affect the nodal response after neoadjuvant chemotherapy in locally advanced breast cancer: Are we ready to endorse axillary conservation?. The Breast Journal. 25(2). 273–277. 15 indexed citations

18.

Botticelli, Andrea, Bruna Cerbelli, Luana Lionetto, et al.. (2018). The key role of kynurenine in antiPD-1 failure. Open Repository and Bibliography (University of Liège). 1 indexed citations

19.

Cerbelli, Bruna, Angelina Pernazza, Andrea Botticelli, et al.. (2017). PD-L1 Expression in TNBC: A Predictive Biomarker of Response to Neoadjuvant Chemotherapy?. BioMed Research International. 2017. 1–7. 48 indexed citations

20.

Gioia, Cira Di, Carla Giordano, Bruna Cerbelli, et al.. (2016). Nonischemic left ventricular scar and cardiac sudden death in the young. Human Pathology. 58. 78–89. 46 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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