Jenna M. Antonucci

451 total citations
8 papers, 258 citations indexed

About

Jenna M. Antonucci is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Jenna M. Antonucci has authored 8 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Virology. Recurrent topics in Jenna M. Antonucci's work include interferon and immune responses (3 papers), HIV Research and Treatment (3 papers) and Immune Response and Inflammation (2 papers). Jenna M. Antonucci is often cited by papers focused on interferon and immune responses (3 papers), HIV Research and Treatment (3 papers) and Immune Response and Inflammation (2 papers). Jenna M. Antonucci collaborates with scholars based in United States, China and South Korea. Jenna M. Antonucci's co-authors include Li Wu, Corine St. Gelais, Lee Gehrke, Yong Xiong, Kirsten M. Knecht, Olga Buzovetsky, Serena Bonifati, Jacob S. Yount, Justin Swaney and Bradley S. Barrett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jenna M. Antonucci

7 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jenna M. Antonucci United States 7 119 113 81 50 44 8 258
Nikolaos Tsopoulidis Germany 9 68 0.6× 150 1.3× 50 0.6× 24 0.5× 23 0.5× 11 265
C. Todd DeMarco United States 6 53 0.4× 231 2.0× 39 0.5× 26 0.5× 85 1.9× 10 343
L. Kiss United Kingdom 7 82 0.7× 166 1.5× 43 0.5× 31 0.6× 46 1.0× 11 261
Maria Virgilio United States 8 74 0.6× 223 2.0× 67 0.8× 33 0.7× 67 1.5× 14 374
Rithun Mukherjee United States 6 55 0.5× 135 1.2× 108 1.3× 39 0.8× 52 1.2× 8 280
Bradford Stanley United States 6 73 0.6× 179 1.6× 106 1.3× 46 0.9× 77 1.8× 7 318
Mary Lor Australia 10 158 1.3× 83 0.7× 42 0.5× 45 0.9× 55 1.3× 23 319
Malcolm Haddrick United Kingdom 8 19 0.2× 172 1.5× 94 1.2× 15 0.3× 34 0.8× 15 343
Laure‐Anne Ligeon Switzerland 10 175 1.5× 123 1.1× 35 0.4× 264 5.3× 13 0.3× 15 416
Alessandra Calvi United Kingdom 5 52 0.4× 212 1.9× 72 0.9× 81 1.6× 24 0.5× 5 385

Countries citing papers authored by Jenna M. Antonucci

Since Specialization
Citations

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

Fields of papers citing papers by Jenna M. Antonucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenna M. Antonucci. 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 Jenna M. Antonucci. The network helps show where Jenna M. Antonucci may publish in the future.

Co-authorship network of co-authors of Jenna M. Antonucci

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

All Works

8 of 8 papers shown
1.
Ocwieja, Karen E., Travis K. Hughes, Jenna M. Antonucci, et al.. (2021). #71: Single-cell RNA Sequencing Analysis of Zika Virus Infection in Human Stem Cell-Derived Neuroprogenitor Cells and Cerebral Organoids. Journal of the Pediatric Infectious Diseases Society. 10(Supplement_1). S14–S14. 1 indexed citations
2.
Albanese, Alexandre, Justin Swaney, Dae Hee Yun, et al.. (2020). Multiscale 3D phenotyping of human cerebral organoids. Scientific Reports. 10(1). 21487–21487. 56 indexed citations
3.
Antonucci, Jenna M. & Lee Gehrke. (2019). Cerebral Organoid Models for Neurotropic Viruses. ACS Infectious Diseases. 5(12). 1976–1979. 16 indexed citations
4.
Bonifati, Serena, Corine St. Gelais, Sun‐Hee Kim, et al.. (2019). The dNTPase activity of SAMHD1 is important for its suppression of innate immune responses in differentiated monocytic cells. Journal of Biological Chemistry. 295(6). 1575–1586. 18 indexed citations
5.
Antonucci, Jenna M., Sun‐Hee Kim, Corine St. Gelais, et al.. (2018). SAMHD1 Impairs HIV-1 Gene Expression and Negatively Modulates Reactivation of Viral Latency in CD4 + T Cells. Journal of Virology. 92(15). 29 indexed citations
6.
Buzovetsky, Olga, Chenxiang Tang, Kirsten M. Knecht, et al.. (2018). The SAM domain of mouse SAMHD1 is critical for its activation and regulation. Nature Communications. 9(1). 20 indexed citations
7.
Chen, Shuliang, Serena Bonifati, Corine St. Gelais, et al.. (2018). SAMHD1 suppresses innate immune responses to viral infections and inflammatory stimuli by inhibiting the NF-κB and interferon pathways. Proceedings of the National Academy of Sciences. 115(16). E3798–E3807. 92 indexed citations
8.
Antonucci, Jenna M., Corine St. Gelais, & Li Wu. (2017). The Dynamic Interplay between HIV-1, SAMHD1, and the Innate Antiviral Response. Frontiers in Immunology. 8. 1541–1541. 26 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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