Matteo Negroni

1.7k total citations
37 papers, 1.2k citations indexed

About

Matteo Negroni is a scholar working on Molecular Biology, Virology and Infectious Diseases. According to data from OpenAlex, Matteo Negroni has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 25 papers in Virology and 16 papers in Infectious Diseases. Recurrent topics in Matteo Negroni's work include HIV Research and Treatment (25 papers), HIV/AIDS drug development and treatment (15 papers) and CRISPR and Genetic Engineering (13 papers). Matteo Negroni is often cited by papers focused on HIV Research and Treatment (25 papers), HIV/AIDS drug development and treatment (15 papers) and CRISPR and Genetic Engineering (13 papers). Matteo Negroni collaborates with scholars based in France, United States and United Kingdom. Matteo Negroni's co-authors include Henri Buc, Román Galetto, Etienne Simon‐Lorière, David L. Robertson, Michel Véron, H. Buc, Abdeladim Moumen, Jun Fan, John Archer and Darren P. Martin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Matteo Negroni

37 papers receiving 1.2k citations

Peers

Matteo Negroni

VIROL

EPIDE

GENET

Krista A. Delviks‐Frankenberry United States

Michael Sakalian United States

Ofir Israeli Israel

Thomas Fricke United States

Olga A. Nikolaitchik United States

Hendrik Huthoff Netherlands

Fadila Bouamr United States

Jun-ichi Sakuragi Japan

Marcus Graf Germany

William Fu United States

Krista A. Delviks‐Frankenberry United States

Matteo Negroni

748 ×1.1

VIROL

471 ×0.7

582 ×1.1

228 ×1.0

EPIDE

143 ×0.9

GENET

Citations per year, relative to Matteo Negroni Matteo Negroni (= 1×) peers Krista A. Delviks‐Frankenberry

Countries citing papers authored by Matteo Negroni

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Negroni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Negroni

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

All Works

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20 of 20 papers shown

Omar, Reine El, Naoill Abdellaoui, François Lanza, et al.. (2024). Macrophage depletion overcomes human hematopoietic cell engraftment failure in zebrafish embryo. Cell Death and Disease. 15(5). 305–305. 1 indexed citations

Cappy, Pierre, Nicolas Lévy, Sylvie Schmidt, et al.. (2020). NKNK: a New Essential Motif in the C-Terminal Domain of HIV-1 Group M Integrases. Journal of Virology. 94(20). 4 indexed citations

Smyth, Redmond P., Matteo Negroni, Andrew Lever, Johnson Mak, & Julia C. Kenyon. (2018). RNA Structure—A Neglected Puppet Master for the Evolution of Virus and Host Immunity. Frontiers in Immunology. 9. 2097–2097. 36 indexed citations

Cappy, Pierre, Alice Moisan, Fabienne De Oliveira, Jean‐Christophe Plantier, & Matteo Negroni. (2017). HIV-1 sequences in the epidemic suggest an alternative pathway for the generation of the Long Terminal Repeats. Scientific Reports. 7(1). 13715–13715. 1 indexed citations

Smyth, Redmond P. & Matteo Negroni. (2016). A step forward understanding HIV-1 diversity. Retrovirology. 13(1). 27–27. 8 indexed citations

Gasser, Romain, Zhicheng Zhou, Philippe Colin, et al.. (2016). Buffering deleterious polymorphisms in highly constrained parts of HIV-1 envelope by flexible regions. Retrovirology. 13(1). 50–50. 7 indexed citations

Geller, Ron, et al.. (2015). The external domains of the HIV-1 envelope are a mutational cold spot. Nature Communications. 6(1). 8571–8571. 37 indexed citations

Simon‐Lorière, Etienne, et al.. (2013). Genetic diversity of the highly variable V1 region interferes with Human Immunodeficiency Virus type 1 envelope functionality. Retrovirology. 10(1). 114–114. 13 indexed citations

Simon‐Lorière, Etienne, Román Galetto, John Archer, et al.. (2009). Molecular Mechanisms of Recombination Restriction in the Envelope Gene of the Human Immunodeficiency Virus. PLoS Pathogens. 5(5). e1000418–e1000418. 63 indexed citations

10.

Ramírez, Bertha Cecilia, Etienne Simon‐Lorière, Román Galetto, & Matteo Negroni. (2008). Implications of recombination for HIV diversity. Virus Research. 134(1-2). 64–73. 54 indexed citations

11.

Archer, John, John W. Pinney, Jun Fan, et al.. (2008). Identifying the Important HIV-1 Recombination Breakpoints. PLoS Computational Biology. 4(9). e1000178–e1000178. 55 indexed citations

12.

Fan, Jun, Matteo Negroni, & David L. Robertson. (2007). The distribution of HIV-1 recombination breakpoints. Infection Genetics and Evolution. 7(6). 717–723. 32 indexed citations

13.

Baird, Heather, Yong Gao, Román Galetto, et al.. (2006). Influence of sequence identity and unique breakpoints on the frequency of intersubtype HIV-1 recombination. Retrovirology. 3(1). 91–91. 27 indexed citations

14.

Ficheux, D., Abdeladim Moumen, Robert J. Gorelick, et al.. (2005). Specific Interactions Between HIV-1 Nucleocapsid Protein and the TAR Element. Journal of Molecular Biology. 348(5). 1059–1077. 38 indexed citations

15.

Galetto, Román, et al.. (2005). Dissection of a Circumscribed Recombination Hot Spot in HIV-1 after a Single Infectious Cycle. Journal of Biological Chemistry. 281(5). 2711–2720. 37 indexed citations

16.

Galetto, Román, et al.. (2004). The Structure of HIV-1 Genomic RNA in the gp120 Gene Determines a Recombination Hot Spot in Vivo. Journal of Biological Chemistry. 279(35). 36625–36632. 61 indexed citations

17.

Moumen, Abdeladim, et al.. (2003). Evidence for a Mechanism of Recombination during Reverse Transcription Dependent on the Structure of the Acceptor RNA. Journal of Biological Chemistry. 278(18). 15973–15982. 57 indexed citations

18.

Negroni, Matteo & Henri Buc. (2001). Retroviral recombination: what drives the switch?. Nature Reviews Molecular Cell Biology. 2(2). 151–155. 40 indexed citations

19.

Negroni, Matteo & Henri Buc. (1999). Recombination during reverse transcription: an evaluation of the role of the nucleocapsid protein. Journal of Molecular Biology. 286(1). 15–31. 48 indexed citations

20.

Negroni, Matteo & Umberto Bertazzoni. (1993). Differential expression and stability of poly(ADP-ribose)polymerase mRNA in human cells. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1173(2). 133–140. 7 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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