Mauro D’Amico
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 10%
- Pathology and Forensic Medicine top 5%
- Hepatology top 5%
- Co-authors
- Luca BoniAlberto ZaniboniAlfredo FalconeFotios LoupakisCristina GranettoGiuseppe ToniniChiara CremoliniSara Lonardi
- Topics
- Breast Cancer Treatment Studies (10 papers)Cancer Treatment and Pharmacology (9 papers)Colorectal Cancer Treatments and Studies (8 papers)
- Cited by
- OncologyHepatologyCancer Research
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Mauro D’Amico
30 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Oncology 1.0k
- Pulmonary and Respiratory Medicine 414
- Cancer Research 286
- Pathology and Forensic Medicine 284
- Hepatology 262
Countries citing papers authored by Mauro D’Amico
This map shows the geographic impact of Mauro D’Amico'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 Mauro D’Amico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro D’Amico more than expected).
Fields of papers citing papers by Mauro D’Amico
This network shows the impact of papers produced by Mauro D’Amico. 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 Mauro D’Amico. The network helps show where Mauro D’Amico may publish in the future.
Co-authorship network of co-authors of Mauro D’Amico
This figure shows the co-authorship network connecting the top 25 collaborators of Mauro D’Amico. A scholar is included among the top collaborators of Mauro D’Amico 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 Mauro D’Amico. Mauro D’Amico is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 27 | |
| 9 | 135 | |
| 10 | FOLFOXIRI plus bevacizumab versus FOLFIRI plus bevacizumab as first-line treatment of patients with metastatic colorectal cancer: updated overall survival and molecular subgroup analyses of the open-label, phase 3 TRIBE studybreakdown → | 733 |
| 11 | 0 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 12 | |
| 15 | 134 | |
| 16 | Cervical cancer screening programs in low-income communities. Experiences from Ecuador. Low cost detection of HPV infection in a developing country. | 4 |
| 17 | 20 | |
| 18 | 20 | |
| 19 | 6 | |
| 20 | 28 |
About Mauro D’Amico
Mauro D’Amico is a scholar working on Cancer Research, Oncology and Otorhinolaryngology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (10 papers), Cancer Treatment and Pharmacology (9 papers) and Colorectal Cancer Treatments and Studies (8 papers). The work is most often cited by research in Oncology (1.0k citations), Hepatology (262 citations) and Cancer Research (286 citations). Mauro D’Amico has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Luca Boni, Alberto Zaniboni, Alfredo Falcone, Fotios Loupakis, Cristina Granetto, Giuseppe Tonini, Chiara Cremolini, Sara Lonardi, Monica Ronzoni and Gianluca Tomasello. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and The Lancet Oncology.
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.