Michele De Bortoli
- Molecular Biology top 5%
- Oncology top 2%
- Cancer Research top 2%
- Genetics top 5%
- Immunology top 5%
- Co-authors
- P SismondiDaniela TavernaClaudio DatiSusanna AntoniottiPiera MaggioraNicoletta BigliaIsabelle PerroteauRiccardo Ponzone
- Topics
- Estrogen and related hormone effects (21 papers)HER2/EGFR in Cancer Research (15 papers)RNA Research and Splicing (15 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Michele De Bortoli
96 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 2.0k
- Oncology 1.0k
- Cancer Research 808
- Genetics 614
- Immunology 522
Countries citing papers authored by Michele De Bortoli
This map shows the geographic impact of Michele De Bortoli'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 Michele De Bortoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele De Bortoli more than expected).
Fields of papers citing papers by Michele De Bortoli
This network shows the impact of papers produced by Michele De Bortoli. 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 Michele De Bortoli. The network helps show where Michele De Bortoli may publish in the future.
Co-authorship network of co-authors of Michele De Bortoli
This figure shows the co-authorship network connecting the top 25 collaborators of Michele De Bortoli. A scholar is included among the top collaborators of Michele De Bortoli 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 Michele De Bortoli. Michele De Bortoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 19 | |
| 7 | 9 | |
| 8 | 21 | |
| 9 | 9 | |
| 10 | miR-148b is a major coordinator in a relapse-associated miR signature in breast tumors | 2 |
| 11 | 11 | |
| 12 | 8 | |
| 13 | 18 | |
| 14 | 75 | |
| 15 | 15 | |
| 16 | Prognostic and predictive relevance of c-erbB-2 and ras expression in node positive and negative breast cancer. | 77 |
| 17 | 33 | |
| 18 | 26 | |
| 19 | 65 | |
| 20 | Inhibition of c-erbB-2 oncogene expression by estrogens in human breast cancer cells. | 128 |
About Michele De Bortoli
Michele De Bortoli is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 97 papers that have together received 3.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (21 papers), HER2/EGFR in Cancer Research (15 papers) and RNA Research and Splicing (15 papers). The work is most often cited by research in Cancer Research (808 citations), Oncology (1.0k citations) and Molecular Biology (2.0k citations). Michele De Bortoli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include P Sismondi, Daniela Taverna, Claudio Dati, Susanna Antoniotti, Piera Maggiora, Nicoletta Biglia, Isabelle Perroteau, Riccardo Ponzone, Alessandro Weisz and Olivier Friard. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics 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.