Damiano

1.0k total citations · 1 hit paper
11 papers, 885 citations indexed

About

Damiano is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Damiano has authored 11 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Pulmonary and Respiratory Medicine and 1 paper in Molecular Biology. Recurrent topics in Damiano's work include HER2/EGFR in Cancer Research (5 papers), Lung Cancer Treatments and Mutations (4 papers) and Colorectal Cancer Treatments and Studies (3 papers). Damiano is often cited by papers focused on HER2/EGFR in Cancer Research (5 papers), Lung Cancer Treatments and Mutations (4 papers) and Colorectal Cancer Treatments and Studies (3 papers). Damiano collaborates with scholars based in Italy and United States. Damiano's co-authors include Fortunato Ciardiello, R. Caputo, Giampaolo Tortora, G Pomatico, Roberto Bianco, Bianco Ar, A R Bianco, Sabino De Placido, Cristina Cristina and Ferdinando De Vita and has published in prestigious journals such as Journal of Clinical Oncology, Haemophilia and PubMed.

In The Last Decade

Damiano

10 papers receiving 859 citations

Hit Papers

Antitumor effect and potentiation of cytotoxic drugs acti... 2000 2026 2008 2017 2000 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Damiano Italy 6 634 446 346 114 72 11 885
Bianco Ar Italy 5 615 1.0× 432 1.0× 329 1.0× 111 1.0× 66 0.9× 7 844
Karen J. Ferrante United States 9 862 1.4× 741 1.7× 354 1.0× 100 0.9× 133 1.8× 18 1.2k
Bogusława Karaszewska Poland 16 686 1.1× 437 1.0× 312 0.9× 43 0.4× 97 1.3× 28 976
G Pomatico Italy 9 1.0k 1.6× 630 1.4× 601 1.7× 179 1.6× 147 2.0× 10 1.4k
Hirva Mamdani United States 19 597 0.9× 436 1.0× 364 1.1× 126 1.1× 131 1.8× 102 1.0k
Simone Steinbild Germany 12 488 0.8× 263 0.6× 353 1.0× 48 0.4× 147 2.0× 19 863
Axel R. Hanauske Germany 11 425 0.7× 490 1.1× 426 1.2× 44 0.4× 132 1.8× 19 1.0k
A. Delacruz United States 13 351 0.6× 438 1.0× 322 0.9× 253 2.2× 106 1.5× 30 900
Graham Temple United Kingdom 12 441 0.7× 431 1.0× 288 0.8× 55 0.5× 84 1.2× 17 721
Toshio Fujino Japan 16 420 0.7× 563 1.3× 402 1.2× 72 0.6× 142 2.0× 54 975

Countries citing papers authored by Damiano

Since Specialization
Citations

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

Fields of papers citing papers by Damiano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damiano

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

All Works

11 of 11 papers shown
1.
Paolo, Giovanni Giovanni, �� Lá, et al.. (2016). L.ong-term recovery of normal sexual function in lesticular cancer survivors. 亚洲男性学杂志:英文版. 85–89. 8 indexed citations
2.
Gregorio, Di, et al.. (2014). Congetture e confutazioni. 5–36. 6 indexed citations
3.
Bianco, Roberto, Roberta Rosa, Damiano, et al.. (2008). VEGF Receptor 1 contributes to resistance to anti-EGFR drugs in human cancer cells.. 14. 5069–5080.
4.
Damiano, et al.. (2004). Verification: What works and what doesn't. Design Automation Conference. 1 indexed citations
5.
Ciardiello, Fortunato, Roberto Bianco, R. Caputo, et al.. (2003). Antitumor activity of ZD6474, a small molecule VEGF receptor tyrosine kinase inhibitor, in human cancer cells with acquired resistance to EGF receptor-targeted drugs.. Journal of Clinical Oncology. 2003. 820–821. 6 indexed citations
6.
Tortora, Giampaolo, R. Caputo, Damiano, et al.. (2003). Combined targeted inhibition of Bcl-2, Bcl-xL, EGFR and Protein Kinase A Type I causes potent antitumor, apoptotic and antiangiogenic activity. 866–871. 3 indexed citations
7.
Tortora, Giampaolo, R. Caputo, Damiano, et al.. (2003). Combination of a selective cyclooxygenase-2 inhibitor with EGFR tyrosine kinase inhibitor ZD1839 (‘Iressa’) and Protein Kinase A antisense causes a cooperative antitumor and antiangiogenic effect. 1231–1232. 2 indexed citations
9.
Ciardiello, Fortunato, R. Caputo, Roberto Bianco, et al.. (2000). Antitumor effect and potentiation of cytotoxic drugs activity in human cancer cells by ZD-1839 (Iressa), an EGFR-selective tyrosine kinase inhibitor.. 6. 2053–2063. 19 indexed citations
10.
Damiano, et al.. (2000). Immune tolerance for haemophilia patients with inhibitors: analysis of the western United States experience. Haemophilia. 6(5). 526–532. 19 indexed citations
11.
Ciardiello, Fortunato, Damiano, Gabriella Fontanini, et al.. (2000). Antiangiogenic and antitumor activity of anti-EGFR C225 monoclonal antibody in combination with Vascular Endothelial Growth Factor antisense oligonucleotide in human GEO colon cancer cells.. 6. 3739–3747. 4 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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