Matteo Gentili

4.9k total citations · 3 hit papers
28 papers, 2.7k citations indexed

About

Matteo Gentili is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Matteo Gentili has authored 28 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 10 papers in Molecular Biology and 9 papers in Infectious Diseases. Recurrent topics in Matteo Gentili's work include interferon and immune responses (13 papers), Immune Response and Inflammation (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Matteo Gentili is often cited by papers focused on interferon and immune responses (13 papers), Immune Response and Inflammation (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Matteo Gentili collaborates with scholars based in United States, France and Italy. Matteo Gentili's co-authors include Nicolas Manel, Cécile Conrad, Xavier Lahaye, Silvia Cerboni, Pablo Vargas, Henry De Belly, Franziska Lautenschlaeger, Matthew Raab, Raphaël Voituriez and Hawa Racine Thiam and has published in prestigious journals such as Science, Cell and Journal of Clinical Investigation.

In The Last Decade

Matteo Gentili

28 papers receiving 2.7k citations

Hit Papers

ESCRT III repairs nuclear envelope ruptures during cell m... 2016 2026 2019 2022 2016 2023 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Gentili United States 16 1.6k 1.4k 735 368 308 28 2.7k
Dániel Wettstein United States 13 733 0.5× 1.5k 1.0× 287 0.4× 520 1.4× 528 1.7× 26 2.7k
Jennifer Garrus United States 15 691 0.4× 1.2k 0.8× 562 0.8× 630 1.7× 1.1k 3.4× 19 2.7k
Margherita Doria Italy 24 1.0k 0.6× 1.1k 0.8× 260 0.4× 264 0.7× 599 1.9× 58 2.5k
Cécile Lagaudrière‐Gesbert France 20 874 0.5× 843 0.6× 166 0.2× 287 0.8× 153 0.5× 28 2.0k
Clarisse Berlioz‐Torrent France 25 657 0.4× 963 0.7× 677 0.9× 345 0.9× 1.3k 4.4× 45 2.3k
Jérôme Bouchet France 22 535 0.3× 846 0.6× 308 0.4× 204 0.6× 471 1.5× 35 1.6k
Colin R. F. Monks United States 7 2.5k 1.5× 849 0.6× 232 0.3× 256 0.7× 653 2.1× 10 3.4k
Lubbertus C. F. Mulder United States 21 907 0.6× 1.1k 0.7× 1.0k 1.4× 73 0.2× 768 2.5× 36 2.5k
James W. Tung United States 22 1.3k 0.8× 848 0.6× 269 0.4× 96 0.3× 321 1.0× 28 3.1k
Bernard Krust France 31 983 0.6× 1.7k 1.2× 555 0.8× 214 0.6× 1.2k 3.9× 66 3.3k

Countries citing papers authored by Matteo Gentili

Since Specialization
Citations

This map shows the geographic impact of Matteo Gentili'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 Matteo Gentili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Gentili more than expected).

Fields of papers citing papers by Matteo Gentili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matteo Gentili. 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 Matteo Gentili. The network helps show where Matteo Gentili may publish in the future.

Co-authorship network of co-authors of Matteo Gentili

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

All Works

20 of 20 papers shown
1.
Hervé, Solène, Andrea Scelfo, Marie Dumont, et al.. (2025). Chromosome mis-segregation triggers cell cycle arrest through a mechanosensitive nuclear envelope checkpoint. Nature Cell Biology. 27(1). 73–86. 8 indexed citations
2.
Reyes, Miguel, et al.. (2023). Microscale combinatorial stimulation of human myeloid cells reveals inflammatory priming by viral ligands. Science Advances. 9(8). eade5090–eade5090. 1 indexed citations
3.
D’Ambrosio, Mario, et al.. (2023). Niosomes Functionalized with a Synthetic Carbohydrate Binding Agent for Mannose-Targeted Doxorubicin Delivery. Pharmaceutics. 15(1). 235–235. 8 indexed citations
4.
Weingarten-Gabbay, Shira, Da‐Yuan Chen, Siranush Sarkizova, et al.. (2023). The HLA-II immunopeptidome of SARS-CoV-2. Cell Reports. 43(1). 113596–113596. 5 indexed citations
5.
Gentili, Matteo, Bingxu Liu, Malvina Papanastasiou, et al.. (2023). ESCRT-dependent STING degradation inhibits steady-state and cGAMP-induced signalling. Nature Communications. 14(1). 611–611. 76 indexed citations breakdown →
6.
Wang, Chuangqi, Yijia Li, Paulina Kapłonek, et al.. (2022). The Kinetics of SARS-CoV-2 Antibody Development Is Associated with Clearance of RNAemia. mBio. 13(4). e0157722–e0157722. 9 indexed citations
7.
Mouri, Kousuke, Michael H. Guo, Carl G. de Boer, et al.. (2022). Prioritization of autoimmune disease-associated genetic variants that perturb regulatory element activity in T cells. Nature Genetics. 54(5). 603–612. 27 indexed citations
8.
Zhang, Yuchen, Rui Guo, Hardik Shah, et al.. (2021). SARS-CoV-2 hijacks folate and one-carbon metabolism for viral replication. Nature Communications. 12(1). 1676–1676. 103 indexed citations
9.
Chen, Xun, Matteo Gentili, Nir Hacohen, & Aviv Regev. (2021). A cell-free nanobody engineering platform rapidly generates SARS-CoV-2 neutralizing nanobodies. Nature Communications. 12(1). 5506–5506. 59 indexed citations
10.
Gentili, Matteo, Xavier Lahaye, Francesca Nadalin, et al.. (2019). The N-Terminal Domain of cGAS Determines Preferential Association with Centromeric DNA and Innate Immune Activation in the Nucleus. Cell Reports. 26(9). 2377–2393.e13. 194 indexed citations
11.
Lahaye, Xavier, Matteo Gentili, Aymeric Silvin, et al.. (2018). NONO Detects the Nuclear HIV Capsid to Promote cGAS-Mediated Innate Immune Activation. Cell. 175(2). 488–501.e22. 167 indexed citations
12.
Cerboni, Silvia, Nadia Jeremiah, Matteo Gentili, et al.. (2017). Intrinsic antiproliferative activity of the innate sensor STING in T lymphocytes. The Journal of Experimental Medicine. 214(6). 1769–1785. 206 indexed citations
13.
Raab, Matthew, Matteo Gentili, Henry De Belly, et al.. (2016). ESCRT III repairs nuclear envelope ruptures during cell migration to limit DNA damage and cell death. Science. 352(6283). 359–362. 657 indexed citations breakdown →
14.
Lahaye, Xavier, Takeshi Satoh, Matteo Gentili, et al.. (2016). Nuclear Envelope Protein SUN2 Promotes Cyclophilin-A-Dependent Steps of HIV Replication. Cell Reports. 15(4). 879–892. 38 indexed citations
15.
Jeremiah, Nadia, Bénédicte Neven, Matteo Gentili, et al.. (2014). Inherited STING-activating mutation underlies a familial inflammatory syndrome with lupus-like manifestations. Journal of Clinical Investigation. 124(12). 5516–5520. 393 indexed citations
16.
Lahaye, Xavier, Takeshi Satoh, Matteo Gentili, et al.. (2013). The Capsids of HIV-1 and HIV-2 Determine Immune Detection of the Viral cDNA by the Innate Sensor cGAS in Dendritic Cells. Immunity. 39(6). 1132–1142. 300 indexed citations
17.
Cerboni, Silvia, Matteo Gentili, & Nicolas Manel. (2013). Diversity of Pathogen Sensors in Dendritic Cells. Advances in immunology. 120. 211–237. 34 indexed citations
19.
Gentili, Matteo, I. Massa, G. Vannini, et al.. (1984). Dynamical-model analysis of intermediate mechanisms in32S-induced reactions. Lettere al nuovo cimento della societa italiana di fisica/Lettere al nuovo cimento. 40(16). 505–508. 4 indexed citations
20.
Gentili, Matteo, I. Massa, G. Vannini, et al.. (1984). Generalized extra-push model calculations and intermediate mechanisms for low-mass heavy-ion reactions. Lettere al nuovo cimento della societa italiana di fisica/Lettere al nuovo cimento. 39(10). 205–209. 5 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.

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