Anna Carbone
Impact in
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
- Cytokine Signaling Pathways and Interactions
- Cancer Cells and Metastasis
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- TGF-β signaling in diseases 2
- Oncology 6
- PARP inhibition in cancer therapy 2
- Co-authors
- Graziella Bellone (9 shared papers)G Emanuelli (7 shared papers)A Robecchi (2 shared papers)Ulrich Rodeck (2 shared papers)Carlo Smirne (3 shared papers)Katia Mareschi (3 shared papers)Elisa Artusio (1 shared paper)D. Tibaudi (1 shared paper)
- Journals
- The Journal of Immunology (1 paper)Diabetes Technology & Therapeutics (1 paper)Cancer Biology & Therapy (1 paper)Journal of Cellular Physiology (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Anna Carbone
12 papers receiving 662 citations
Peers
Comparison fields: 5 of 74
- Oncology 417
- Immunology 303
- Endocrinology, Diabetes and Metabolism 115
- Cancer Research 54
- Molecular Biology 173
Countries citing papers authored by Anna Carbone
This map shows the geographic impact of Anna Carbone'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 Carbone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Carbone more than expected).
Fields of papers citing papers by Anna Carbone
This network shows the impact of papers produced by Anna Carbone. 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 Carbone. The network helps show where Anna Carbone may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Carbone, 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 | 1999 | 197 | |
| 2 | 2005 | 174 | |
| 3 | 2006 | 105 | |
| 4 | 2012 | 58 | |
| 5 | 1995 | 50 | |
| 6 | 2008 | 22 | |
| 7 | 2013 | 22 | |
| 8 | 2013 | 16 | |
| 9 | 2007 | 11 | |
| 10 | 2000 | 8 | |
| 11 | 2006 | 8 | |
| 12 | 2000 | 1 |
About Anna Carbone
Anna Carbone is a scholar working on Molecular Biology, Oncology, Surgery, Endocrinology, Diabetes and Metabolism and Hematology, having authored 12 papers that have together received 672 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Diabetes Treatment and Management (3 papers), Pancreatic function and diabetes (2 papers), Diabetes Management and Research (2 papers), TGF-β signaling in diseases (2 papers), Immunotherapy and Immune Responses (2 papers), PARP inhibition in cancer therapy (2 papers) and Erythropoietin and Anemia Treatment (2 papers). The work is most often cited by research in Oncology (417 citations), Immunology (303 citations), Endocrinology, Diabetes and Metabolism (115 citations), Cancer Research (54 citations) and Molecular Biology (173 citations). Anna Carbone has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Graziella Bellone, G Emanuelli, A Robecchi, Ulrich Rodeck, Carlo Smirne, Katia Mareschi, Elisa Artusio, D. Tibaudi, Anna Turletti and Mario Pirisi. Their work appears in journals such as The Journal of Immunology, Diabetes Technology & Therapeutics, Cancer Biology & Therapy, Journal of Cellular Physiology and American Journal Of Pathology.
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.