Vincenzo Damiano

4.3k total citations · 1 hit paper
62 papers, 3.2k citations indexed

About

Vincenzo Damiano is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Vincenzo Damiano has authored 62 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Oncology, 22 papers in Molecular Biology and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Vincenzo Damiano's work include HER2/EGFR in Cancer Research (14 papers), Cancer Treatment and Pharmacology (11 papers) and Myasthenia Gravis and Thymoma (9 papers). Vincenzo Damiano is often cited by papers focused on HER2/EGFR in Cancer Research (14 papers), Cancer Treatment and Pharmacology (11 papers) and Myasthenia Gravis and Thymoma (9 papers). Vincenzo Damiano collaborates with scholars based in Italy, United States and United Kingdom. Vincenzo Damiano's co-authors include Giampaolo Tortora, Fortunato Ciardiello, Roberto Bianco, Rosa Caputo, Sabino De Placido, A R Bianco, Gabriella Fontanini, Roberta Caputo, Teresa Troiani and Bianca Maria Veneziani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Vincenzo Damiano

54 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Inhibition of growth factor production and angiogenesis in human cancer cells by ZD1839 (Iressa), a selective epidermal growth factor receptor tyrosine kinase inhibitor.

2001 531 citations Fortunato Ciardiello, Rosa Caputo et al. PubMed profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vincenzo Damiano Italy	26	1.9k	1.4k	1.2k	459	336	62	3.2k
Marie Prewett United States	18	1.7k 0.9×	1.4k 1.1×	816 0.7×	509 1.1×	661 2.0×	34	2.9k
Ernest Nadal Spain	34	1.8k 1.0×	1.5k 1.1×	1.8k 1.6×	815 1.8×	177 0.5×	169	3.6k
Kenneth K. Iwata United States	27	1.8k 0.9×	1.9k 1.4×	976 0.8×	520 1.1×	188 0.6×	50	3.4k
Jennifer R. Diamond United States	26	2.0k 1.1×	998 0.7×	756 0.7×	469 1.0×	400 1.2×	136	3.0k
Chan Zeng United States	11	1.6k 0.9×	1.2k 0.9×	1.5k 1.3×	487 1.1×	292 0.9×	13	2.8k
Kimio Yonesaka Japan	25	2.2k 1.2×	789 0.6×	1.2k 1.1×	265 0.6×	489 1.5×	74	2.8k
Shiu‐Feng Huang Taiwan	29	1.2k 0.6×	1.4k 1.0×	944 0.8×	596 1.3×	124 0.4×	78	2.9k
Gregory M. Coté United States	35	1.3k 0.7×	1.3k 0.9×	1.4k 1.2×	485 1.1×	115 0.3×	151	3.4k
Tina Cascone United States	30	1.8k 1.0×	1.4k 1.0×	1.6k 1.4×	684 1.5×	194 0.6×	104	3.4k
Ben Markman Australia	24	1.2k 0.6×	1.3k 1.0×	489 0.4×	329 0.7×	148 0.4×	75	2.5k

Countries citing papers authored by Vincenzo Damiano

Since Specialization

Citations

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

Fields of papers citing papers by Vincenzo Damiano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincenzo Damiano

This figure shows the co-authorship network connecting the top 25 collaborators of Vincenzo Damiano. A scholar is included among the top collaborators of Vincenzo Damiano 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 Vincenzo Damiano. Vincenzo Damiano 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

Luca, Caterina De, Rosa Maria Di Crescenzo, Vincenzo Damiano, et al.. (2025). Clear Cell Neoplasm in Salivary Gland FNA? Maybe It’s From Kidney!. Cytopathology. 36(4). 426–429.

Crescenzo, Rosa Maria Di, et al.. (2025). Case Report: Unresectable recurrent nasopharyngeal cancer treated with immuno oncology. Frontiers in Oncology. 15. 1523481–1523481.

Montella, Annalaura, et al.. (2024). Improving single nucleotide polymorphisms genotyping accuracy for dihydropyrimidine dehydrogenase testing in pharmacogenetics. SHILAP Revista de lepidopterología. 5(2). 374–383. 1 indexed citations

Martino, Maria Cristina De, et al.. (2024). A Review on Mitotane: A Target Therapy in Adrenocortical Carcinoma. Cancers. 16(23). 4061–4061. 1 indexed citations

Luongo, Cristina, Maria Angela De Stefano, Raffaele Ambrosio, et al.. (2023). Type 2 Deiodinase Thr92Ala Polymorphism and Aging Are Associated with a Decreased Pituitary Sensitivity to Thyroid Hormone. Thyroid. 33(3). 294–300. 7 indexed citations

Pellegrino, Sara, Rosa Fonti, Vincenzo Damiano, et al.. (2023). Heterogeneity of Glycolytic Phenotype Determined by 18F-FDG PET/CT Using Coefficient of Variation in Patients with Advanced Non-Small Cell Lung Cancer. Diagnostics. 13(14). 2448–2448. 6 indexed citations

Luongo, Cristina, Tommaso Porcelli, Maria Angela De Stefano, et al.. (2021). Combination of Lenvatinib and Pembrolizumab as Salvage Treatment for Paucicellular Variant of Anaplastic Thyroid Cancer: A Case Report. Current Oncology. 28(6). 5401–5407. 10 indexed citations

Faggiano, Antongiulio, Anna Chiara Carratù, Elia Guadagno, et al.. (2015). Somatostatin Analogues according to Ki67 index in neuroendocrine tumours: an observational retrospective-prospective analysis from real life. Oncotarget. 7(5). 5538–5547. 25 indexed citations

Buonerba, Carlo, Margaret Ottaviano, Piera Federico, et al.. (2014). Capecitabine plus gemcitabine in thymic epithelial tumors: Final analysis of a phase II trial.. Journal of Clinical Oncology. 32(15_suppl). 7528–7528. 6 indexed citations

10.

Rosa, Roberta, Roberta Marciano, Umberto Malapelle, et al.. (2012). Sphingosine Kinase 1 Overexpression Contributes to Cetuximab Resistance in Human Colorectal Cancer Models. Clinical Cancer Research. 19(1). 138–147. 91 indexed citations

11.

Rosa, Roberta, Davide Melisi, Vincenzo Damiano, et al.. (2011). Toll-like Receptor 9 Agonist IMO Cooperates with Cetuximab in K - Ras Mutant Colorectal and Pancreatic Cancers. Clinical Cancer Research. 17(20). 6531–6541. 44 indexed citations

12.

Damiano, Vincenzo, Sonia Garofalo, Roberta Rosa, et al.. (2009). A Novel Toll-Like Receptor 9 Agonist Cooperates with Trastuzumab in Trastuzumab-Resistant Breast Tumors through Multiple Mechanisms of Action. Clinical Cancer Research. 15(22). 6921–6930. 25 indexed citations

13.

Bianco, Roberto, Roberta Rosa, Vincenzo Damiano, et al.. (2008). Vascular Endothelial Growth Factor Receptor-1 Contributes to Resistance to Anti–Epidermal Growth Factor Receptor Drugs in Human Cancer Cells. Clinical Cancer Research. 14(16). 5069–5080. 117 indexed citations

14.

Melisi, Davide, Rosa Caputo, Vincenzo Damiano, et al.. (2005). Zoledronic acid cooperates with a cyclooxygenase-2 inhibitor and gefitinib in inhibiting breast and prostate cancer. Endocrine Related Cancer. 12(4). 1051–1058. 32 indexed citations

15.

Ciardiello, Fortunato, Marco Romano, Concetta Tuccillo, et al.. (2004). Structure-activity relationship, physicochemical and pharmacokinetic properties of AZD2171: A highly potent inhibitor of VEGF receptor tyrosine kinases. Cancer Research. 64. 1048–1048. 9 indexed citations

16.

Tortora, Giampaolo, Rosa Caputo, Vincenzo Damiano, et al.. (2003). Combination of a selective cyclooxygenase-2 inhibitor with epidermal growth factor receptor tyrosine kinase inhibitor ZD1839 and protein kinase A antisense causes cooperative antitumor and antiangiogenic effect.. PubMed. 9(4). 1566–72. 134 indexed citations

17.

Ciardiello, Fortunato, Rosa Caputo, Roberto Bianco, et al.. (2001). Inhibition of growth factor production and angiogenesis in human cancer cells by ZD1839 (Iressa), a selective epidermal growth factor receptor tyrosine kinase inhibitor.. PubMed. 7(5). 1459–65. 531 indexed citations breakdown →

18.

Ciardiello, Fortunato, Vincenzo Damiano, Roberto Bianco, et al.. (1998). Down-regulation of type I protein kinase A by transfection of human breast cancer cells with an epidermal growth factor receptor antisense expression vector. Breast Cancer Research and Treatment. 47(1). 57–62. 7 indexed citations

19.

Tortora, Giampaolo, Vincenzo Damiano, Caterina Bianco, et al.. (1997). The RIα subunit of protein kinase A (PKA) binds to Grb2 and allows PKA interaction with the activated EGF-Receptor. Oncogene. 14(8). 923–928. 91 indexed citations

20.

Tortora, Giampaolo, Stefano Pepe, Caterina Bianco, et al.. (1994). Differential effects of protein kinase a sub‐units on chinese‐hamster‐ovary cell cycle and proliferation. International Journal of Cancer. 59(5). 712–716. 27 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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