Elia Biganzoli
- Cardiology and Cardiovascular Medicine top 1%
- Oncology top 2%
- Molecular Biology top 10%
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Patrizia BoracchiFederico AmbrogiEttore MarubiniDouglas L. PackerAndrea NataleWyn DaviesShih‐Ann ChenRiccardo Cappato
- Topics
- Breast Cancer Treatment Studies (44 papers)Gene expression and cancer classification (25 papers)Cancer Cells and Metastasis (24 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- ItalyUnited StatesBelgium
In The Last Decade
Elia Biganzoli
228 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Cardiology and Cardiovascular Medicine 2.0k
- Oncology 1.6k
- Molecular Biology 1.2k
- Cancer Research 1.1k
- Pulmonary and Respiratory Medicine 771
Countries citing papers authored by Elia Biganzoli
This map shows the geographic impact of Elia Biganzoli'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 Elia Biganzoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elia Biganzoli more than expected).
Fields of papers citing papers by Elia Biganzoli
This network shows the impact of papers produced by Elia Biganzoli. 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 Elia Biganzoli. The network helps show where Elia Biganzoli may publish in the future.
Co-authorship network of co-authors of Elia Biganzoli
This figure shows the co-authorship network connecting the top 25 collaborators of Elia Biganzoli. A scholar is included among the top collaborators of Elia Biganzoli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elia Biganzoli. Elia Biganzoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 13 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 19 | |
| 15 | 15 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 27 | |
| 19 | Machine Learning in cancer research: implications for personalised medicine | 9 |
| 20 | Radial basis function neural networks for the analysis of survival data | 1 |
About Elia Biganzoli
Elia Biganzoli is a scholar working on Cancer Research, Statistics and Probability and Oncology, having authored 240 papers that have together received 6.8k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (44 papers), Gene expression and cancer classification (25 papers) and Cancer Cells and Metastasis (24 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.0k citations), Cancer Research (1.1k citations) and Oncology (1.6k citations). Elia Biganzoli has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Patrizia Boracchi, Federico Ambrogi, Ettore Marubini, Douglas L. Packer, Andrea Natale, Wyn Davies, Shih‐Ann Chen, Riccardo Cappato, Yoshito Iesaka and Hugh Calkins. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.