Ivan Marazzi

5.4k total citations · 2 hit papers
19 papers, 2.7k citations indexed

About

Ivan Marazzi is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Ivan Marazzi has authored 19 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Ivan Marazzi's work include interferon and immune responses (4 papers), NF-κB Signaling Pathways (4 papers) and Virus-based gene therapy research (3 papers). Ivan Marazzi is often cited by papers focused on interferon and immune responses (4 papers), NF-κB Signaling Pathways (4 papers) and Virus-based gene therapy research (3 papers). Ivan Marazzi collaborates with scholars based in United States, Singapore and United Kingdom. Ivan Marazzi's co-authors include Gioacchino Natoli, Simona Saccani, Alexander Tarakhovsky, Kate L. Jeffrey, Rab K. Prinjha, Scott Dewell, Uwe Schaefer, Daniela Bosisio, Paul A. Wilson and Rohit Chandwani and has published in prestigious journals such as Nature, Cell and The Journal of Experimental Medicine.

In The Last Decade

Ivan Marazzi

19 papers receiving 2.7k citations

Hit Papers

Suppression of inflammation by a synthetic histone mimic 2010 2026 2015 2020 2010 2024 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ivan Marazzi United States 14 2.1k 718 447 441 326 19 2.7k
Anup Dey United States 28 3.4k 1.6× 742 1.0× 217 0.5× 548 1.2× 523 1.6× 47 4.2k
Ryan M. Genga United States 13 2.7k 1.3× 944 1.3× 333 0.7× 131 0.3× 315 1.0× 18 3.4k
Leonard B. Maggi United States 22 1.9k 0.9× 1.3k 1.8× 633 1.4× 207 0.5× 699 2.1× 38 3.2k
Vladimir Prassolov Russia 26 1.4k 0.7× 230 0.3× 285 0.6× 116 0.3× 314 1.0× 143 2.1k
Cheng-Ming Chiang United States 36 4.1k 2.0× 392 0.5× 710 1.6× 455 1.0× 792 2.4× 62 5.1k
Kasirajan Ayyanathan United States 18 2.2k 1.0× 229 0.3× 218 0.5× 108 0.2× 315 1.0× 36 2.7k
Peter‐Michael Kloetzel Germany 30 2.1k 1.0× 1.2k 1.7× 164 0.4× 168 0.4× 691 2.1× 51 3.4k
Cong Liu China 23 1.4k 0.7× 193 0.3× 290 0.6× 139 0.3× 359 1.1× 74 2.1k
Philip R. Gafken United States 29 2.7k 1.3× 242 0.3× 236 0.5× 119 0.3× 257 0.8× 50 3.4k
Pascal W.T.C. Jansen Netherlands 26 2.6k 1.2× 200 0.3× 392 0.9× 111 0.3× 321 1.0× 55 3.0k

Countries citing papers authored by Ivan Marazzi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ivan Marazzi

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Marazzi. A scholar is included among the top collaborators of Ivan Marazzi 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 Ivan Marazzi. Ivan Marazzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Bournique, Elodie, et al.. (2025). ATM and IRAK1 orchestrate two distinct mechanisms of NF-κB activation in response to DNA damage. Nature Structural & Molecular Biology. 32(4). 740–755. 5 indexed citations
2.
Pfeiffer, Shannon M., Jacob Insua‐Rodríguez, Hamad Alshetaiwi, et al.. (2024). Circadian control of tumor immunosuppression affects efficacy of immune checkpoint blockade. Nature Immunology. 25(7). 1257–1269. 44 indexed citations breakdown →
3.
Hoang, Phuong Mai, Denis Torre, Patrick Jaynes, et al.. (2024). A PRMT5-ZNF326 axis mediates innate immune activation upon replication stress. Science Advances. 10(23). eadm9589–eadm9589. 5 indexed citations
4.
Yu, Angela M, Xiuye Wang, Xueyi Teng, et al.. (2023). The anticancer compound JTE-607 reveals hidden sequence specificity of the mRNA 3′ processing machinery. Nature Structural & Molecular Biology. 30(12). 1947–1957. 7 indexed citations
5.
Zhao, Nan, Jessica Ho, Fanye Meng, et al.. (2023). Generation of host-directed and virus-specific antivirals using targeted protein degradation promoted by small molecules and viral RNA mimics. Cell Host & Microbe. 31(7). 1154–1169.e10. 16 indexed citations
6.
Lim, Jung-Yeon, Sascha H. Duttke, Nicholas Venturini, et al.. (2021). DNMT3A haploinsufficiency causes dichotomous DNA methylation defects at enhancers in mature human immune cells. The Journal of Experimental Medicine. 218(7). 13 indexed citations
7.
Ho, Jessica, Zeyu Zhu, & Ivan Marazzi. (2021). Unconventional viral gene expression mechanisms as therapeutic targets. Nature. 593(7859). 362–371. 30 indexed citations
8.
Cross, Gail Brenda, Jessica Ho, William J. Zacharias, Anand D. Jeyasekharan, & Ivan Marazzi. (2021). Emergency drug use in a pandemic: Harsh lessons from COVID-19. Cell. 184(22). 5497–5500. 2 indexed citations
9.
Gordon, David E., Ariane Watson, Assen Roguev, et al.. (2020). A Quantitative Genetic Interaction Map of HIV Infection. Molecular Cell. 78(2). 197–209.e7. 13 indexed citations
10.
Liu, Xing, Ted Hong, Sreeja Parameswaran, et al.. (2020). Human Virus Transcriptional Regulators. Cell. 182(1). 24–37. 48 indexed citations
11.
Heinz, Sven, Lorane Texari, Michael G.B. Hayes, et al.. (2018). Transcription Elongation Can Affect Genome 3D Structure. Cell. 174(6). 1522–1536.e22. 281 indexed citations
12.
Marazzi, Ivan, Benjamin D. Greenbaum, Diana Low, & Ernesto Guccione. (2017). Chromatin dependencies in cancer and inflammation. Nature Reviews Molecular Cell Biology. 19(4). 245–261. 53 indexed citations
13.
Marazzi, Ivan & Adolfo Garcı́a-Sastre. (2015). Interference of viral effector proteins with chromatin, transcription, and the epigenome. Current Opinion in Microbiology. 26. 123–129. 11 indexed citations
14.
Marazzi, Ivan, Jessica Ho, Jaehoon Kim, et al.. (2012). Suppression of the antiviral response by an influenza histone mimic. Nature. 483(7390). 428–433. 216 indexed citations
15.
Nicodème, Edwige, Kate L. Jeffrey, Uwe Schaefer, et al.. (2010). Suppression of inflammation by a synthetic histone mimic. Nature. 468(7327). 1119–1123. 1203 indexed citations breakdown →
16.
Sampath, Srihari C., Ivan Marazzi, Kyoko L. Yap, et al.. (2007). Methylation of a Histone Mimic within the Histone Methyltransferase G9a Regulates Protein Complex Assembly. Molecular Cell. 27(4). 596–608. 185 indexed citations
17.
Bosisio, Daniela, Ivan Marazzi, A Agresti, et al.. (2006). A hyper‐dynamic equilibrium between promoter‐bound and nucleoplasmic dimers controls NF‐κB‐dependent gene activity. The EMBO Journal. 25(4). 798–810. 164 indexed citations
18.
Natoli, Gioacchino, Simona Saccani, Daniela Bosisio, & Ivan Marazzi. (2005). Interactions of NF-κB with chromatin: the art of being at the right place at the right time. Nature Immunology. 6(5). 439–445. 220 indexed citations
19.
Saccani, Simona, Ivan Marazzi, Amer A. Beg, & Gioacchino Natoli. (2004). Degradation of Promoter-bound p65/RelA Is Essential for the Prompt Termination of the Nuclear Factor κB Response. The Journal of Experimental Medicine. 200(1). 107–113. 226 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026