Matthew T. Laurie

2.1k total citations · 1 hit paper
15 papers, 1.0k citations indexed

About

Matthew T. Laurie is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Matthew T. Laurie has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Matthew T. Laurie's work include SARS-CoV-2 and COVID-19 Research (4 papers), Single-cell and spatial transcriptomics (2 papers) and Antibiotic Resistance in Bacteria (2 papers). Matthew T. Laurie is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), Single-cell and spatial transcriptomics (2 papers) and Antibiotic Resistance in Bacteria (2 papers). Matthew T. Laurie collaborates with scholars based in United States, Brazil and Austria. Matthew T. Laurie's co-authors include Joseph L. DeRisi, Hanna Retallack, Kristeene A. Knopp, Alex A. Pollen, Carmen Sandoval-Espinosa, Walter Mancia, Robert Krencik, Julien Spatazza, Elizabeth Di Lullo and Carolina Arias and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Matthew T. Laurie

14 papers receiving 1.0k citations

Hit Papers

Zika virus cell tropism in the developing human brain and... 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Zika virus cell tropism in the developing human brain and inhibition by azithromycin
    2016 365 citations Hanna Retallack, Elizabeth Di Lullo et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew T. Laurie United States 11 398 349 218 125 103 15 1.0k
Jason Dang United States 15 925 2.3× 300 0.9× 400 1.8× 220 1.8× 217 2.1× 26 1.7k
Giuseppe Balistreri Finland 20 415 1.0× 414 1.2× 288 1.3× 154 1.2× 13 0.1× 28 1.2k
Rodrigo Madeiro da Costa Brazil 16 587 1.5× 400 1.1× 549 2.5× 261 2.1× 203 2.0× 27 1.5k
Shang-Rung Wu Taiwan 18 312 0.8× 200 0.6× 100 0.5× 93 0.7× 276 2.7× 27 1.0k
Yoshihiko Sakaguchi Japan 23 686 1.7× 266 0.8× 155 0.7× 102 0.8× 37 0.4× 63 1.8k
Tomoko Kohda Japan 19 356 0.9× 229 0.7× 213 1.0× 92 0.7× 79 0.8× 62 1.5k
Sylvie Syan France 19 425 1.1× 266 0.8× 54 0.2× 231 1.8× 45 0.4× 26 1.2k
Philippe Herman Belgium 21 895 2.2× 234 0.7× 67 0.3× 85 0.7× 178 1.7× 54 1.4k
Graham Speight Australia 17 401 1.0× 360 1.0× 396 1.8× 180 1.4× 18 0.2× 28 1.2k
Beau J. Fenner Singapore 21 430 1.1× 150 0.4× 108 0.5× 114 0.9× 54 0.5× 61 1.3k

Countries citing papers authored by Matthew T. Laurie

Since Specialization
Citations

This map shows the geographic impact of Matthew T. Laurie'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 Matthew T. Laurie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Laurie more than expected).

Fields of papers citing papers by Matthew T. Laurie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew T. Laurie. 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 Matthew T. Laurie. The network helps show where Matthew T. Laurie may publish in the future.

Co-authorship network of co-authors of Matthew T. Laurie

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

All Works

15 of 15 papers shown
1.
Sunshine, Sara, Andreas S. Puschnik, Hanna Retallack, et al.. (2025). Defining the host dependencies and the transcriptional landscape of RSV infection. mBio. 16(9). e0101025–e0101025. 1 indexed citations
2.
Lohse, Matthew B., Matthew T. Laurie, Sophia Levan, et al.. (2023). Broad susceptibility of Candida auris strains to 8-hydroxyquinolines and mechanisms of resistance. mBio. 14(4). e0137623–e0137623. 4 indexed citations
3.
Sunshine, Sara, Andreas S. Puschnik, Joseph M. Replogle, et al.. (2023). Systematic functional interrogation of SARS-CoV-2 host factors using Perturb-seq. Nature Communications. 14(1). 6245–6245. 12 indexed citations
4.
Spottiswoode, Natasha, Katherine Gruenberg, Maulik Shah, et al.. (2023). Successful Treatment of Balamuthia mandrillaris Granulomatous Amebic Encephalitis with Nitroxoline. Emerging infectious diseases. 29(1). 197–201. 26 indexed citations
5.
Laurie, Matthew T., Jamin Liu, Sara Sunshine, et al.. (2022). SARS-CoV-2 Variant Exposures Elicit Antibody Responses With Differential Cross-Neutralization of Established and Emerging Strains Including Delta and Omicron. The Journal of Infectious Diseases. 225(11). 1909–1914. 29 indexed citations
6.
7.
Sabatino, Joseph J., William Rowles, Jayant V. Rajan, et al.. (2022). Multiple sclerosis therapies differentially affect SARS-CoV-2 vaccine–induced antibody and T cell immunity and function. JCI Insight. 7(4). 52 indexed citations
8.
Liu, Jamin, Kristeene A. Knopp, Elze Rackaityte, et al.. (2022). Genome-Wide Knockout Screen Identifies Human Sialomucin CD164 as an Essential Entry Factor for Lymphocytic Choriomeningitis Virus. mBio. 13(3). e0020522–e0020522. 13 indexed citations
9.
Retallack, Hanna, Katerina D. Popova, Matthew T. Laurie, Sara Sunshine, & Joseph L. DeRisi. (2021). Persistence of Ambigrammatic Narnaviruses Requires Translation of the Reverse Open Reading Frame. Journal of Virology. 95(13). e0010921–e0010921. 26 indexed citations
10.
Tian, Ruilin, Connor Ludwig, Matthew T. Laurie, et al.. (2019). CRISPR Interference-Based Platform for Multimodal Genetic Screens in Human iPSC-Derived Neurons. Neuron. 104(2). 239–255.e12. 274 indexed citations
11.
12.
Hughes, Alex J., Maxwell C. Coyle, Matthew T. Laurie, et al.. (2017). Engineered Tissue Folding by Mechanical Compaction of the Mesenchyme. Developmental Cell. 44(2). 165–178.e6. 139 indexed citations
13.
Retallack, Hanna, Elizabeth Di Lullo, Carolina Arias, et al.. (2016). Zika virus cell tropism in the developing human brain and inhibition by azithromycin. Proceedings of the National Academy of Sciences. 113(50). 14408–14413. 365 indexed citations breakdown →
14.
Vichas, Athea, Matthew T. Laurie, & Jennifer A. Zallen. (2015). The Ski2-family helicase Obelus regulates Crumbs alternative splicing and cell polarity. The Journal of Cell Biology. 211(5). 1011–1024. 5 indexed citations
15.
Laurie, Matthew T., Jessica A. Bertout, Sean D. Taylor, et al.. (2013). Simultaneous Digital Quantification and Fluorescence-Based Size Characterization of Massively Parallel Sequencing Libraries. BioTechniques. 55(2). 61–67. 23 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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