Ivan Marazzi
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Immunology top 5%
- interferon and immune responses
Papers in
-
- Protein Degradation and Inhibitors 3
- Cancer-related gene regulation 3
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 3
- Ubiquitin and proteasome pathways 2
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- interferon and immune responses 4
- Co-authors
- Gioacchino Natoli (3 shared papers)Simona Saccani (2 shared papers)Alexander Tarakhovsky (3 shared papers)Uwe Schaefer (2 shared papers)Rab K. Prinjha (2 shared papers)Scott Dewell (2 shared papers)Kate L. Jeffrey (2 shared papers)Daniela Bosisio (2 shared papers)
- Journals
- Nature (3 papers)Cell (3 papers)Molecular Cell (2 papers)Nature Structural & Molecular Biology (2 papers)Nature Immunology (2 papers)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Ivan Marazzi
19 papers receiving 2.8k citations
Ivan Marazzi's Hit Papers
Peers
Comparison fields: 5 of 101
- Hematology 417
- Immunology 687
- Cancer Research 434
- Molecular Biology 2.1k
- Virology 91
Countries citing papers authored by Ivan Marazzi
This map shows the geographic impact of Ivan Marazzi'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 Ivan Marazzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Marazzi more than expected).
Fields of papers citing papers by Ivan Marazzi
This network shows the impact of papers produced by Ivan Marazzi. 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 Ivan Marazzi. The network helps show where Ivan Marazzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Marazzi, 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 | Suppression of inflammation by a synthetic histone mimic Hit paper breakdown → | 2010 | 1216 |
| 2 | 2018 | 287 | |
| 3 | 2004 | 227 | |
| 4 | 2012 | 222 | |
| 5 | 2005 | 220 | |
| 6 | 2007 | 188 | |
| 7 | 2006 | 165 | |
| 8 | Circadian control of tumor immunosuppression affects efficacy of immune checkpoint blockade Hit paper breakdown → | 2024 | 57 |
| 9 | 2017 | 54 | |
| 10 | 2020 | 52 | |
| 11 | 2021 | 32 | |
| 12 | 2023 | 20 | |
| 13 | 2020 | 16 | |
| 14 | 2021 | 14 | |
| 15 | 2015 | 11 | |
| 16 | 2023 | 9 | |
| 17 | 2024 | 7 | |
| 18 | 2025 | 6 | |
| 19 | 2021 | 2 |
About Ivan Marazzi
Ivan Marazzi is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Genetics, having authored 19 papers that have together received 2.8k indexed citations. Recurring topics across this work include interferon and immune responses (4 papers), NF-κB Signaling Pathways (4 papers), Protein Degradation and Inhibitors (3 papers), Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (3 papers), Genomics and Chromatin Dynamics (3 papers), Virus-based gene therapy research (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Hematology (417 citations), Immunology (687 citations), Cancer Research (434 citations), Molecular Biology (2.1k citations) and Virology (91 citations). Ivan Marazzi has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Gioacchino Natoli, Simona Saccani, Alexander Tarakhovsky, Uwe Schaefer, Rab K. Prinjha, Scott Dewell, Kate L. Jeffrey, Daniela Bosisio, Chun‐wa Chung and José M. Lora. Their work appears in journals such as Nature, Cell, Molecular Cell, Nature Structural & Molecular Biology and Nature Immunology.
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.