Garnet Navarro

664 total citations
10 papers, 450 citations indexed

About

Garnet Navarro is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Garnet Navarro has authored 10 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Garnet Navarro's work include interferon and immune responses (3 papers), Influenza Virus Research Studies (3 papers) and CAR-T cell therapy research (2 papers). Garnet Navarro is often cited by papers focused on interferon and immune responses (3 papers), Influenza Virus Research Studies (3 papers) and CAR-T cell therapy research (2 papers). Garnet Navarro collaborates with scholars based in United States. Garnet Navarro's co-authors include Alan Aderem, Carrie M. Rosenberger, Peter S. Askovich, Rebecca Podyminogin, Mitchell J. Weiss, Guowei Zhao, Ilya Shmulevich, Stephen A. Ramsey, Mark Gilchrist and Daniel E. Zak and has published in prestigious journals such as Blood, Bioinformatics and The Journal of Immunology.

In The Last Decade

Garnet Navarro

10 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Garnet Navarro United States 8 264 197 108 69 55 10 450
Luchino Y. Cohen Canada 10 413 1.6× 349 1.8× 95 0.9× 82 1.2× 89 1.6× 19 661
Allison M. Beal United States 7 206 0.8× 299 1.5× 74 0.7× 103 1.5× 85 1.5× 13 528
Silvia M. Bacot United States 8 195 0.7× 147 0.7× 39 0.4× 51 0.7× 56 1.0× 10 344
Jingran Zhou China 7 181 0.7× 237 1.2× 57 0.5× 35 0.5× 54 1.0× 13 421
Nadia Ben Larbi Ireland 8 347 1.3× 295 1.5× 60 0.6× 63 0.9× 57 1.0× 8 578
Allen Nguyen United States 11 193 0.7× 188 1.0× 38 0.4× 58 0.8× 50 0.9× 22 504
Nina Schmolka Portugal 11 241 0.9× 383 1.9× 51 0.5× 38 0.6× 48 0.9× 12 645
Olga Ananieva United Kingdom 8 218 0.8× 207 1.1× 86 0.8× 75 1.1× 81 1.5× 8 477
Cristina L. Swanson United States 6 285 1.1× 199 1.0× 119 1.1× 27 0.4× 43 0.8× 7 509

Countries citing papers authored by Garnet Navarro

Since Specialization
Citations

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

Fields of papers citing papers by Garnet Navarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garnet Navarro

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

All Works

10 of 10 papers shown
3.
Young, Mary H., Garnet Navarro, Peter S. Askovich, & Alan Aderem. (2016). T cell receptor signaling and Toll-like receptor signaling converge to amplify T cell responses. The Journal of Immunology. 196(1_Supplement). 128.5–128.5. 2 indexed citations
4.
Askovich, Peter S., Catherine J. Sanders, Carrie M. Rosenberger, et al.. (2013). Differential Host Response, Rather Than Early Viral Replication Efficiency, Correlates with Pathogenicity Caused by Influenza Viruses. PLoS ONE. 8(9). e74863–e74863. 25 indexed citations
5.
Rosenberger, Carrie M., Rebecca Podyminogin, Peter S. Askovich, et al.. (2013). Characterization of innate responses to influenza virus infection in a novel lung type I epithelial cell model. Journal of General Virology. 95(2). 350–362. 37 indexed citations
6.
Rosenberger, Carrie M., Rebecca Podyminogin, Garnet Navarro, et al.. (2012). miR-451 Regulates Dendritic Cell Cytokine Responses to Influenza Infection. The Journal of Immunology. 189(12). 5965–5975. 124 indexed citations
7.
Ramsey, Stephen A., Theo Knijnenburg, Kathleen A. Kennedy, et al.. (2010). Genome-wide histone acetylation data improve prediction of mammalian transcription factor binding sites. Bioinformatics. 26(17). 2071–2075. 52 indexed citations
8.
Ramsey, Stephen A., Sandy Klemm, Daniel E. Zak, et al.. (2008). Uncovering a Macrophage Transcriptional Program by Integrating Evidence from Motif Scanning and Expression Dynamics. PLoS Computational Biology. 4(3). e1000021–e1000021. 144 indexed citations
9.
Ramsey, Stephen A., Sandy Klemm, Daniel E. Zak, et al.. (2008). Correction: Uncovering a Macrophage Transcriptional Program by Integrating Evidence from Motif Scanning and Expression Dynamics. PLoS Computational Biology. 4(4). 5 indexed citations
10.
Ramsey, Stephen A., Sandy Klemm, Daniel E. Zak, et al.. (2008). Correction: Uncovering a Macrophage Transcriptional Program by Integrating Evidence from Motif Scanning and Expression Dynamics. PLoS Computational Biology. 4(3). 11 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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