Diego Calabrese
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Liver physiology and pathology
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
- Oncology 10
- Cancer Cells and Metastasis 5
- Co-authors
- Markus H. Heim (14 shared papers)Stefan Wieland (7 shared papers)Luigi Terracciano (11 shared papers)Matthias S. Matter (7 shared papers)Tujana Boldanova (3 shared papers)Charlotte K.Y. Ng (3 shared papers)Salvatore Piscuoglio (3 shared papers)Sandro Nuciforo (3 shared papers)
- Journals
- Journal of Hepatology (2 papers)PLoS ONE (2 papers)Journal of Viral Hepatitis (2 papers)International Journal of Cancer (2 papers)The Journal of Experimental Medicine (2 papers)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Diego Calabrese
27 papers receiving 1.4k citations
Diego Calabrese's Hit Papers
Peers
Comparison fields: 5 of 105
- Hepatology 382
- Oncology 416
- Cancer Research 213
- Immunology 200
- Epidemiology 296
Countries citing papers authored by Diego Calabrese
This map shows the geographic impact of Diego Calabrese'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 Diego Calabrese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Calabrese more than expected).
Fields of papers citing papers by Diego Calabrese
This network shows the impact of papers produced by Diego Calabrese. 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 Diego Calabrese. The network helps show where Diego Calabrese may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Calabrese, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Organoid Models of Human Liver Cancers Derived from Tumor Needle Biopsies Hit paper breakdown → | 2018 | 347 |
| 2 | 2016 | 200 | |
| 3 | 2013 | 136 | |
| 4 | 2021 | 92 | |
| 5 | 2012 | 78 | |
| 6 | 2010 | 75 | |
| 7 | 2013 | 60 | |
| 8 | 2014 | 52 | |
| 9 | 2020 | 50 | |
| 10 | 2014 | 38 | |
| 11 | 2016 | 37 | |
| 12 | 2004 | 33 | |
| 13 | 2015 | 32 | |
| 14 | 2019 | 27 | |
| 15 | 2020 | 24 | |
| 16 | 2013 | 22 | |
| 17 | 2013 | 22 | |
| 18 | 2017 | 20 | |
| 19 | 2018 | 17 | |
| 20 | 2019 | 12 |
About Diego Calabrese
Diego Calabrese is a scholar working on Oncology, Molecular Biology, Immunology, Epidemiology and Hepatology, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Hepatitis C virus research (5 papers), Liver Disease Diagnosis and Treatment (3 papers), interferon and immune responses (3 papers), Immune Cell Function and Interaction (3 papers), Cancer Genomics and Diagnostics (2 papers), Hepatitis B Virus Studies (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Hepatology (382 citations), Oncology (416 citations), Cancer Research (213 citations), Immunology (200 citations) and Epidemiology (296 citations). Diego Calabrese has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Markus H. Heim, Stefan Wieland, Luigi Terracciano, Matthias S. Matter, Tujana Boldanova, Charlotte K.Y. Ng, Salvatore Piscuoglio, Sandro Nuciforo, Isabel Fofana and Tanja Blumer. Their work appears in journals such as Journal of Hepatology, PLoS ONE, Journal of Viral Hepatitis, International Journal of Cancer and The Journal of Experimental Medicine.
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.