Anna Compagnoni
Impact in
- Developmental Neuroscience top 10%
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Treatments and Studies
- Colorectal Cancer Surgical Treatments
Papers in
-
- Ovarian cancer diagnosis and treatment 2
- Oncology 3
- Cancer-related Molecular Pathways 1
- Co-authors
- Eliana Rulli (2 shared papers)Valter Torri (1 shared paper)Luca Salvolini (1 shared paper)Daniela Garavaglia (1 shared paper)Irene Floriani (1 shared paper)Andrea Giovagnoni (1 shared paper)Helena T. Högberg (1 shared paper)Sandra Coecke (1 shared paper)
- Journals
- European Journal of Cancer (2 papers)Stem Cells (1 paper)The Lancet Oncology (1 paper)Annals of Oncology (1 paper)Journal of Magnetic Resonance Imaging (1 paper)
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Anna Compagnoni
12 papers receiving 688 citations
Peers
Comparison fields: 5 of 69
- Developmental Neuroscience 33
- Oncology 233
- Radiology, Nuclear Medicine and Imaging 118
- Small Animals 42
- Statistics, Probability and Uncertainty 39
Countries citing papers authored by Anna Compagnoni
This map shows the geographic impact of Anna Compagnoni'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 Compagnoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Compagnoni more than expected).
Fields of papers citing papers by Anna Compagnoni
This network shows the impact of papers produced by Anna Compagnoni. 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 Compagnoni. The network helps show where Anna Compagnoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Compagnoni, 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 | 2018 | 222 | |
| 2 | 2009 | 204 | |
| 3 | 2009 | 106 | |
| 4 | 2009 | 52 | |
| 5 | 2007 | 36 | |
| 6 | 2007 | 28 | |
| 7 | 2010 | 24 | |
| 8 | 2006 | 20 | |
| 9 | 2009 | 9 | |
| 10 | 1994 | 5 | |
| 11 | 2016 | 2 | |
| 12 | Trastuzumab containing regimens for early breast cancer (Protocol) | 2008 | 1 |
| 13 | 2025 | 0 |
About Anna Compagnoni
Anna Compagnoni is a scholar working on Reproductive Medicine, Oncology, Developmental Neuroscience, Anesthesiology and Pain Medicine and Statistics, Probability and Uncertainty, having authored 13 papers that have together received 709 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (2 papers), Cancer therapeutics and mechanisms (1 paper), Cancer-related Molecular Pathways (1 paper), Phosphodiesterase function and regulation (1 paper), Medical Imaging Techniques and Applications (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Meta-analysis and systematic reviews (1 paper) and Pharmaceutical industry and healthcare (1 paper). The work is most often cited by research in Developmental Neuroscience (33 citations), Oncology (233 citations), Radiology, Nuclear Medicine and Imaging (118 citations), Small Animals (42 citations) and Statistics, Probability and Uncertainty (39 citations). Anna Compagnoni has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Eliana Rulli, Valter Torri, Luca Salvolini, Daniela Garavaglia, Irene Floriani, Andrea Giovagnoni, Helena T. Högberg, Sandra Coecke, Jens Zimmer and Krystyna Domańska‐Janik. Their work appears in journals such as European Journal of Cancer, Stem Cells, The Lancet Oncology, Annals of Oncology and Journal of Magnetic Resonance Imaging.
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.