Paolo Salomoni
- Molecular Biology top 1%
- Oncology top 2%
- Hematology top 0.5%
- Immunology top 5%
- Cancer Research top 2%
- Co-authors
- Pier Paolo PandolfiBruno CalabrettaSue ZhongFederico CalegariEmanuela GrassilliAilan GuoGerry MelinoTomasz Skórski
- Topics
- Retinoids in leukemia and cellular processes (29 papers)Chronic Myeloid Leukemia Treatments (15 papers)Protein Degradation and Inhibitors (14 papers)
- Cited by
- HematologyMolecular BiologyOncology
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Paolo Salomoni
100 papers receiving 6.4k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 4.8k
- Oncology 1.4k
- Hematology 1.1k
- Immunology 852
- Cancer Research 776
Countries citing papers authored by Paolo Salomoni
This map shows the geographic impact of Paolo Salomoni'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 Paolo Salomoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Salomoni more than expected).
Fields of papers citing papers by Paolo Salomoni
This network shows the impact of papers produced by Paolo Salomoni. 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 Paolo Salomoni. The network helps show where Paolo Salomoni may publish in the future.
Co-authorship network of co-authors of Paolo Salomoni
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Salomoni. A scholar is included among the top collaborators of Paolo Salomoni 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 Paolo Salomoni. Paolo Salomoni 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 | 13 | |
| 3 | 15 | |
| 4 | 13 | |
| 5 | 7 | |
| 6 | 62 | |
| 7 | 34 | |
| 8 | Targeting autophagy potentiates tyrosine kinase inhibitor-induced cell death in Philadelphia chromosome-positive cells, including primary CML stem cells (vol 119, pg 1109, 2009) | 0 |
| 9 | 35 | |
| 10 | 219 | |
| 11 | 28 | |
| 12 | 26 | |
| 13 | 208 | |
| 14 | 11 | |
| 15 | 74 | |
| 16 | The promyelocytic leukemia protein, PML, localizes to the nucleolus after DNA damage, interacts with Mdm2 and promotes p53 stability. | 2 |
| 17 | 438 | |
| 18 | Role of PML in p53-dependent apoptosis. | 1 |
| 19 | 29 | |
| 20 | Involvement of ornithine decarboxylase and polyamines in glucocorticoid-induced apoptosis of rat thymocytes. | 41 |
About Paolo Salomoni
Paolo Salomoni is a scholar working on Hematology, Aging and Virology, having authored 104 papers that have together received 6.5k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (29 papers), Chronic Myeloid Leukemia Treatments (15 papers) and Protein Degradation and Inhibitors (14 papers). The work is most often cited by research in Hematology (1.1k citations), Molecular Biology (4.8k citations) and Oncology (1.4k citations). Paolo Salomoni has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Pier Paolo Pandolfi, Bruno Calabretta, Sue Zhong, Federico Calegari, Emanuela Grassilli, Ailan Guo, Gerry Melino, Tomasz Skórski, Mariusz A. Wasik and Pierluigi Nicotera. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.