Danila Coradini
Impact in
- Cancer Research top 1%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 1%
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
- Cancer-related Molecular Pathways
Papers in
-
- Breast Cancer Treatment Studies 34
- Cancer, Lipids, and Metabolism 7
- Genetics 56
- Estrogen and related hormone effects 48
- Co-authors
- Maria Grazia DaidoneMarco A. PierottiSilvana PilottiAurora CostaGraziella PratesiGiovanna PetrangoliniNadia ZaffaroniG. Di Fronzo
- Journals
- International Journal of Cancer (7 papers)British Journal of Cancer (5 papers)Breast Cancer Research and Treatment (5 papers)The International Journal of Biological Markers (4 papers)Japanese Journal of Clinical Oncology (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Danila Coradini
107 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Cancer Research 1.4k
- Oncology 2.2k
- Molecular Biology 1.9k
- Genetics 620
- Biotechnology 184
Countries citing papers authored by Danila Coradini
This map shows the geographic impact of Danila Coradini'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 Danila Coradini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danila Coradini more than expected).
Fields of papers citing papers by Danila Coradini
This network shows the impact of papers produced by Danila Coradini. 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 Danila Coradini. The network helps show where Danila Coradini may publish in the future.
Co-authors
The 25 scholars most cited alongside Danila Coradini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2020 | 3 | |
| 4 | 2020 | 3 | |
| 5 | 2015 | 4 | |
| 6 | 2012 | 6 | |
| 7 | 2012 | 27 | |
| 8 | 2010 | 27 | |
| 9 | 2009 | 31 | |
| 10 | 2009 | 3 | |
| 11 | 2006 | 14 | |
| 12 | 2004 | 45 | |
| 13 | 2004 | 32 | |
| 14 | 2004 | 31 | |
| 15 | 2003 | 24 | |
| 16 | 2001 | 21 | |
| 17 | 1999 | 46 | |
| 18 | 1995 | 43 | |
| 19 | 1991 | 1 | |
| 20 | 1991 | 13 |
About Danila Coradini
Danila Coradini is a scholar working on Cancer Research, Genetics, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 108 papers that have together received 3.9k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (48 papers), Breast Cancer Treatment Studies (34 papers), Cancer Cells and Metastasis (22 papers), Cancer-related Molecular Pathways (9 papers), Cancer Risks and Factors (8 papers), HER2/EGFR in Cancer Research (8 papers), Cancer, Lipids, and Metabolism (7 papers) and Histone Deacetylase Inhibitors Research (6 papers). The work is most often cited by research in Cancer Research (1.4k citations), Oncology (2.2k citations), Molecular Biology (1.9k citations), Genetics (620 citations) and Biotechnology (184 citations). Danila Coradini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Maria Grazia Daidone, Marco A. Pierotti, Silvana Pilotti, Aurora Costa, Graziella Pratesi, Giovanna Petrangolini, Nadia Zaffaroni, G. Di Fronzo, Cinzia Pellizzaro and Patrizia Boracchi. Their work appears in journals such as International Journal of Cancer, British Journal of Cancer, Breast Cancer Research and Treatment, The International Journal of Biological Markers and Japanese Journal of Clinical 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.