Daniela Campani
Impact in
- Hepatology top 1%
- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
- Transplantation top 2%
Papers in
- Co-authors
- Ugo Boggi (50 shared papers)Niccola Funel (40 shared papers)Franco Mosca (31 shared papers)Luca Emanuele Pollina (22 shared papers)Franco Filipponi (30 shared papers)Generoso Bevilacqua (18 shared papers)Michele Menicagli (9 shared papers)Elisa Giovannetti (10 shared papers)
- Journals
- The International Journal of Biological Markers (7 papers)Cancers (5 papers)Pancreatology (5 papers)Cancer Research (4 papers)Journal of Clinical Oncology (4 papers)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Daniela Campani
173 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 122
- Hepatology 864
- Transplantation 217
- Oncology 2.0k
- Cancer Research 906
- Surgery 1.3k
Countries citing papers authored by Daniela Campani
This map shows the geographic impact of Daniela Campani'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 Daniela Campani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Campani more than expected).
Fields of papers citing papers by Daniela Campani
This network shows the impact of papers produced by Daniela Campani. 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 Daniela Campani. The network helps show where Daniela Campani may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Campani, 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 176 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 376 | |
| 2 | 2009 | 341 | |
| 3 | 2006 | 278 | |
| 4 | 2004 | 214 | |
| 5 | 1996 | 120 | |
| 6 | 2018 | 108 | |
| 7 | 2013 | 107 | |
| 8 | 2003 | 97 | |
| 9 | 2005 | 90 | |
| 10 | 2011 | 88 | |
| 11 | 2005 | 86 | |
| 12 | p53 mutations and histological type of invasive breast carcinoma. | 1993 | 86 |
| 13 | 2012 | 77 | |
| 14 | 2013 | 74 | |
| 15 | 2009 | 73 | |
| 16 | 2011 | 70 | |
| 17 | 2013 | 69 | |
| 18 | 2014 | 69 | |
| 19 | 2007 | 66 | |
| 20 | 1996 | 66 |
About Daniela Campani
Daniela Campani is a scholar working on Oncology, Surgery, Epidemiology, Molecular Biology and Hepatology, having authored 176 papers that have together received 4.8k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (41 papers), Organ Transplantation Techniques and Outcomes (22 papers), Liver Disease Diagnosis and Treatment (21 papers), Liver Disease and Transplantation (21 papers), Neuroendocrine Tumor Research Advances (15 papers), Renal Transplantation Outcomes and Treatments (13 papers), Hepatocellular Carcinoma Treatment and Prognosis (11 papers) and Cancer Genomics and Diagnostics (10 papers). The work is most often cited by research in Hepatology (864 citations), Transplantation (217 citations), Oncology (2.0k citations), Cancer Research (906 citations) and Surgery (1.3k citations). Daniela Campani has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Ugo Boggi, Niccola Funel, Franco Mosca, Luca Emanuele Pollina, Franco Filipponi, Generoso Bevilacqua, Michele Menicagli, Elisa Giovannetti, Marco Del Chiaro and Alfredo Falcone. Their work appears in journals such as The International Journal of Biological Markers, Cancers, Pancreatology, Cancer Research and 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.