Anna Coppa
Impact in
- Cancer Research top 10%
- Oncology top 10%
- PARP inhibition in cancer therapy
Papers in
-
- TGF-β signaling in diseases 15
- Connective Tissue Growth Factor Research 5
- Renal and related cancers 3
- Oncology 10
- Co-authors
- Arianna Nicolussi (19 shared papers)Sonia D'inzeo (16 shared papers)Giuseppe Giannini (18 shared papers)Carlo Capalbo (11 shared papers)Giulia Colletta (11 shared papers)Alberto Gulino (7 shared papers)Gabriella Mincione (8 shared papers)Francesco Nardi (6 shared papers)
- Journals
- Oncogene (4 papers)Experimental Cell Research (3 papers)International Journal of Oncology (3 papers)PeerJ (2 papers)International Journal of Cancer (2 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Anna Coppa
45 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 82
- Cancer Research 177
- Oncology 259
- Molecular Biology 657
- Endocrinology, Diabetes and Metabolism 136
- Neurology 66
Countries citing papers authored by Anna Coppa
This map shows the geographic impact of Anna Coppa'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 Anna Coppa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Coppa more than expected).
Fields of papers citing papers by Anna Coppa
This network shows the impact of papers produced by Anna Coppa. 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 Anna Coppa. The network helps show where Anna Coppa may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Coppa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 165 | |
| 2 | 1998 | 113 | |
| 3 | 2017 | 67 | |
| 4 | 2006 | 52 | |
| 5 | 2003 | 43 | |
| 6 | 2005 | 42 | |
| 7 | 2018 | 37 | |
| 8 | 2011 | 30 | |
| 9 | 2013 | 28 | |
| 10 | 1999 | 27 | |
| 11 | 2021 | 26 | |
| 12 | 2014 | 24 | |
| 13 | 2017 | 24 | |
| 14 | 1996 | 24 | |
| 15 | 1997 | 24 | |
| 16 | 2000 | 22 | |
| 17 | 2012 | 22 | |
| 18 | Epithelial rat thyroid cell clones, escaping from transforming growth factor beta negative growth control, are still inhibited by this factor in the ability to trap iodide. | 1995 | 22 |
| 19 | 2011 | 21 | |
| 20 | 2010 | 20 |
About Anna Coppa
Anna Coppa is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (15 papers), Neuroblastoma Research and Treatments (6 papers), BRCA gene mutations in cancer (6 papers), Connective Tissue Growth Factor Research (5 papers), Genetic factors in colorectal cancer (5 papers), Ovarian cancer diagnosis and treatment (3 papers), Renal and related cancers (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Cancer Research (177 citations), Oncology (259 citations), Molecular Biology (657 citations), Endocrinology, Diabetes and Metabolism (136 citations) and Neurology (66 citations). Anna Coppa has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Arianna Nicolussi, Sonia D'inzeo, Giuseppe Giannini, Carlo Capalbo, Giulia Colletta, Alberto Gulino, Gabriella Mincione, Francesco Nardi, Francesca Belardinilli and Andrew R. Mackay. Their work appears in journals such as Oncogene, Experimental Cell Research, International Journal of Oncology, PeerJ and International Journal of Cancer.
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.