Grazia Ambrosini
- Oncology top 1%
- Cancer-related Molecular Pathways 8
- Molecular Biology top 1%
- Ubiquitin and proteasome pathways 8
- Protein Degradation and Inhibitors 7
- Receptor Mechanisms and Signaling 5
- Melanoma and MAPK Pathways 4
- Immunology top 2%
- Cancer Research top 2%
- Cell Biology top 2%
- Microtubule and mitosis dynamics 5
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- Ocular Oncology and Treatments 21
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- Multiple Myeloma Research and Treatments 6
- Co-authors
- Dario C. AltieriColette AdidaJanet PlesciaFengzhi LiSimona TogninEmily ChuPier Carlo MarchisioGary K. Schwartz
- Cited by
- OncologyMolecular BiologyImmunology
- Journals
- Nature (1 paper)Journal of Biological Chemistry (7 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Grazia Ambrosini
47 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Oncology 2.2k
- Molecular Biology 4.8k
- Immunology 1.2k
- Cancer Research 743
- Cell Biology 692
Countries citing papers authored by Grazia Ambrosini
This map shows the geographic impact of Grazia Ambrosini'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 Grazia Ambrosini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grazia Ambrosini more than expected).
Fields of papers citing papers by Grazia Ambrosini
This network shows the impact of papers produced by Grazia Ambrosini. 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 Grazia Ambrosini. The network helps show where Grazia Ambrosini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Grazia Ambrosini, 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 | 2023 | 10 | |
| 2 | 2019 | 34 | |
| 3 | 2015 | 49 | |
| 4 | 2014 | 23 | |
| 5 | 2014 | 52 | |
| 6 | 2013 | 87 | |
| 7 | 2013 | 85 | |
| 8 | 2012 | 78 | |
| 9 | 2012 | 59 | |
| 10 | 2009 | 16 | |
| 11 | 2009 | 93 | |
| 12 | 2008 | 44 | |
| 13 | 2007 | 189 | |
| 14 | 2002 | 163 | |
| 15 | Control of apoptosis and mitotic spindle checkpoint by survivinbreakdown → | 1998 | 1635 |
| 16 | 1998 | 359 | |
| 17 | 1998 | 25 | |
| 18 | 1996 | 23 | |
| 19 | 1994 | 76 | |
| 20 | 1993 | 29 |
About Grazia Ambrosini
Grazia Ambrosini is a scholar working on Ophthalmology, Hematology and Cell Biology, having authored 48 papers that have together received 6.8k indexed citations. Recurring topics across this work include Ocular Oncology and Treatments (21 papers), Ubiquitin and proteasome pathways (8 papers), Cancer-related Molecular Pathways (8 papers), Protein Degradation and Inhibitors (7 papers), Multiple Myeloma Research and Treatments (6 papers), Microtubule and mitosis dynamics (5 papers), Receptor Mechanisms and Signaling (5 papers) and Melanoma and MAPK Pathways (4 papers). The work is most often cited by research in Oncology (2.2k citations), Molecular Biology (4.8k citations) and Immunology (1.2k citations). Grazia Ambrosini has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Dario C. Altieri, Colette Adida, Janet Plescia, Fengzhi Li, Simona Tognin, Emily Chu, Pier Carlo Marchisio, Gary K. Schwartz, Giorgio Sirugo and Elgilda Musi. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.