Grazia Arpino

10.1k total citations · 2 hit papers
157 papers, 6.7k citations indexed

About

Grazia Arpino is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Grazia Arpino has authored 157 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Oncology, 74 papers in Cancer Research and 57 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Grazia Arpino's work include HER2/EGFR in Cancer Research (62 papers), Breast Cancer Treatment Studies (60 papers) and Advanced Breast Cancer Therapies (49 papers). Grazia Arpino is often cited by papers focused on HER2/EGFR in Cancer Research (62 papers), Breast Cancer Treatment Studies (60 papers) and Advanced Breast Cancer Therapies (49 papers). Grazia Arpino collaborates with scholars based in Italy, United States and France. Grazia Arpino's co-authors include Richard Elledge, C. Kent Osborne, Sabino De Placido, Rachel Schiff, Gary M. Clark, V J Bardou, Mario Giuliano, Adrian V. Lee, Michelino De Laurentiis and Valérie‐Jeanne Bardou and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Internal Medicine and Journal of the American College of Cardiology.

In The Last Decade

Grazia Arpino

144 papers receiving 6.6k citations

Hit Papers

Infiltrating lobular carc... 2003 2026 2010 2018 2004 2003 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Grazia Arpino 4.2k 2.8k 1.7k 1.6k 1.6k 157 6.7k
Rinat Yerushalmi 4.4k 1.1× 2.3k 0.8× 2.2k 1.3× 1.8k 1.1× 1.2k 0.7× 119 6.7k
Jacques Bonneterre 5.1k 1.2× 2.8k 1.0× 1.9k 1.1× 1.7k 1.0× 1.5k 0.9× 257 8.0k
Robert Mennel 4.2k 1.0× 3.3k 1.2× 1.6k 0.9× 1.2k 0.8× 952 0.6× 47 6.7k
Nicholas J. Robert 6.7k 1.6× 4.1k 1.5× 2.0k 1.2× 2.0k 1.2× 2.2k 1.4× 181 10.0k
Henri Roché 6.4k 1.5× 3.3k 1.2× 2.1k 1.2× 1.8k 1.1× 1.3k 0.8× 213 9.0k
Lynn G. Dressler 5.1k 1.2× 4.8k 1.7× 2.7k 1.5× 1.2k 0.8× 1.3k 0.8× 51 8.6k
Binghe Xu 6.1k 1.5× 3.0k 1.1× 3.2k 1.8× 2.8k 1.7× 1.2k 0.8× 387 9.1k
Rita Nanda 4.3k 1.0× 2.5k 0.9× 1.5k 0.9× 1.4k 0.9× 765 0.5× 205 6.3k
Pär‐Ola Bendahl 3.3k 0.8× 3.0k 1.1× 2.7k 1.6× 1.4k 0.8× 928 0.6× 181 6.7k
Antonio Llombart‐Cussac 6.8k 1.6× 3.5k 1.3× 1.4k 0.8× 3.9k 2.4× 1.6k 1.0× 317 9.4k

Countries citing papers authored by Grazia Arpino

Since Specialization
Citations

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

Fields of papers citing papers by Grazia Arpino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grazia Arpino

This figure shows the co-authorship network connecting the top 25 collaborators of Grazia Arpino. A scholar is included among the top collaborators of Grazia Arpino 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 Grazia Arpino. Grazia Arpino 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.
Palleschi, Michela, Federica Martorana, Giacomo Barchiesi, et al.. (2025). Unlocking the Potential of Immune Checkpoint Inhibitors in HR+/HER2− Breast Cancer: A Systematic Review. Cancers. 17(17). 2940–2940.
2.
Blondeaux, Eva, Francesca Poggio, Alessandra Fabi, et al.. (2025). Factors associated with first-to-second-line attrition among patients with metastatic breast cancer in the real world. ESMO Open. 10(2). 104125–104125. 1 indexed citations
3.
Arecco, Luca, Eva Blondeaux, Marco Bruzzone, et al.. (2025). Prognostic implications of risk definitions from the monarchE and NATALEE trials. JNCI Journal of the National Cancer Institute. 117(6). 1198–1208. 3 indexed citations
5.
Servetto, Alberto, Carmine De Angelis, Grazia Arpino, et al.. (2024). Exploring the interplay between Kaposi's sarcoma and SARS‐CoV‐2 infection: A case series and systematic review. Journal of Medical Virology. 96(8). e29849–e29849.
6.
Lambertini, Matteo, Pietro De Placido, Sabino De Placido, et al.. (2024). Abstract PO4-03-07: The impact of chemotherapy relative dose intensity on pathological complete response in patients with triple negative breast cancer treated with neoadjuvant chemotherapy. Cancer Research. 84(9_Supplement). PO4–3. 1 indexed citations
7.
8.
Cioffi, Iolanda, Olivia Di Vincenzo, Bruna Ramos da Silva, et al.. (2024). Measurement of resting energy expenditure and its accuracy in women with breast cancer. Clinical Nutrition. 43(11). 54–64.
10.
Pepe, Francesco, Jole Ventriglia, Giancarlo Troncone, et al.. (2024). Efficacy of PARP inhibitors in advanced high-grade serous ovarian cancer according to BRCA domain mutations and mutation type. Frontiers in Oncology. 14. 1412807–1412807. 3 indexed citations
11.
Arpino, Grazia, Giampaolo Bianchini, Giuseppe Curigliano, et al.. (2023). Breaking barriers in triple negative breast cancer (TNBC) – Unleashing the power of antibody-drug conjugates (ADCs). Cancer Treatment Reviews. 123. 102672–102672. 32 indexed citations
12.
Fabi, Alessandra, Matteo Allegretti, G. Ferretti, et al.. (2023). Abstract OT1-22-01: Liquid biopsy and Ado-trastuzumab emtansine (T-DM1): drug-resistance traits in the blood of HER2-positive metastatic breast cancer patients. Cancer Research. 83(5_Supplement). OT1–22. 1 indexed citations
13.
Marra, Maurizio, Iolanda Cioffi, Lidia Santarpia, et al.. (2022). Prevalence of Sarcopenia in Women with Breast Cancer. Nutrients. 14(9). 1839–1839. 19 indexed citations
14.
Napolitano, Fabiana, Pietro De Placido, Valeria Forestieri, et al.. (2022). Insight on the Role of Leptin: A Bridge from Obesity to Breast Cancer. Biomolecules. 12(10). 1394–1394. 12 indexed citations
15.
Schettini, Francesco, Fabiola Giudici, Mario Giuliano, et al.. (2020). Overall Survival of CDK4/6-Inhibitor–Based Treatments in Clinically Relevant Subgroups of Metastatic Breast Cancer: Systematic Review and Meta-Analysis. JNCI Journal of the National Cancer Institute. 112(11). 1089–1097. 62 indexed citations
16.
Giuliano, Mario, Hin Ching Lo, Grazia Arpino, et al.. (2018). Perspective on Circulating Tumor Cell Clusters: Why It Takes a Village to Metastasize. Cancer Research. 78(4). 845–852. 153 indexed citations
17.
Montanari, Micaela, Vittoria Carbone, Luigi Coppola, et al.. (2018). Epigenetic Silencing of THY1 Tracks the Acquisition of the Notch1–EGFR Signaling in a Xenograft Model of CD44+/CD24low/CD90+ Myoepithelial Cells. Molecular Cancer Research. 17(2). 628–641. 7 indexed citations
18.
Arpino, Grazia, Daniele Generali, Anna Sapino, et al.. (2013). Gene expression profiling in breast cancer: A clinical perspective. The Breast. 22(2). 109–120. 57 indexed citations
19.
Puglisi, Fabio, Alessandro Marco Minisini, Carmine De Angelis, & Grazia Arpino. (2012). Overcoming Treatment Resistance in HER2-Positive Breast Cancer. Drugs. 72(9). 1175–1193. 31 indexed citations
20.
Rimawi, Mothaffar F., Lisa Wiechmann, Yen-Chao Wang, et al.. (2010). Reduced Dose and Intermittent Treatment with Lapatinib and Trastuzumab for Potent Blockade of the HER Pathway in HER2/neu-Overexpressing Breast Tumor Xenografts. Clinical Cancer Research. 17(6). 1351–1361. 66 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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