Denise Toscani
- Hematology top 2%
- Multiple Myeloma Research and Treatments 38
- Physiology top 2%
- Calcium signaling and nucleotide metabolism 5
- Oncology top 5%
- Peptidase Inhibition and Analysis 17
- Bone health and treatments 15
- Genetics top 10%
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- Cancer, Hypoxia, and Metabolism 4
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- Immunotherapy and Immune Responses 5
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- Protein Degradation and Inhibitors 4
- Ubiquitin and proteasome pathways 4
- Co-authors
- Nicola GiulianiMarina BolzoniFranco AversaFabrizio AccardiFederica CostaBenedetta Dalla PalmaPaola StortiFabio Malavasi
- Cited by
- HematologyPhysiologyOncology
- Journals
- SHILAP Revista de lepidopterología (1 paper)Blood (11 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Denise Toscani
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 78
- Hematology 570
- Physiology 179
- Oncology 557
- Genetics 108
- Cancer Research 147
Countries citing papers authored by Denise Toscani
This map shows the geographic impact of Denise Toscani'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 Denise Toscani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denise Toscani more than expected).
Fields of papers citing papers by Denise Toscani
This network shows the impact of papers produced by Denise Toscani. 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 Denise Toscani. The network helps show where Denise Toscani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Denise Toscani, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 16 | |
| 9 | 2020 | 14 | |
| 10 | 2019 | 24 | |
| 11 | 2018 | 68 | |
| 12 | 2018 | 37 | |
| 13 | 2018 | 15 | |
| 14 | 2018 | 15 | |
| 15 | 2017 | 4 | |
| 16 | 2017 | 15 | |
| 17 | 2016 | 84 | |
| 18 | 2013 | 89 | |
| 19 | 2012 | 65 | |
| 20 | 2012 | 42 |
About Denise Toscani
Denise Toscani is a scholar working on Hematology, Physiology and Oncology, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (38 papers), Peptidase Inhibition and Analysis (17 papers), Bone health and treatments (15 papers), Immunotherapy and Immune Responses (5 papers), Calcium signaling and nucleotide metabolism (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Protein Degradation and Inhibitors (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Hematology (570 citations), Physiology (179 citations) and Oncology (557 citations). Denise Toscani has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Nicola Giuliani, Marina Bolzoni, Franco Aversa, Fabrizio Accardi, Federica Costa, Benedetta Dalla Palma, Paola Storti, Fabio Malavasi, Alberto L. Horenstein and Valentina Marchica. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and International Journal of Molecular Sciences.
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.