Matthew A. Getz

964 total citations · 1 hit paper
5 papers, 500 citations indexed

About

Matthew A. Getz is a scholar working on Infectious Diseases, Molecular Biology and Immunology. According to data from OpenAlex, Matthew A. Getz has authored 5 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Molecular Biology and 2 papers in Immunology. Recurrent topics in Matthew A. Getz's work include SARS-CoV-2 and COVID-19 Research (2 papers), Immunotherapy and Immune Responses (2 papers) and Insect behavior and control techniques (1 paper). Matthew A. Getz is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (2 papers), Immunotherapy and Immune Responses (2 papers) and Insect behavior and control techniques (1 paper). Matthew A. Getz collaborates with scholars based in United States and South Africa. Matthew A. Getz's co-authors include Rasem Fattah, Stephen H. Leppla, Mahtab Moayeri, Inka Sastalla, Shihui Liu, Jonathan Levinsohn, Zachary L. Newman, M. Inmaculada Barrasa, David P. Bartel and Gerald R. Fink and has published in prestigious journals such as Cell, Nucleic Acids Research and Frontiers in Immunology.

In The Last Decade

Matthew A. Getz

4 papers receiving 493 citations

Hit Papers

align trajectories

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.

T cell reactivity to the SARS-CoV-2 Omicron variant is preserved in most but not all individuals

2022 157 citations Vivek Naranbhai, Anusha Nathan et al. Cell profile →

Peers

Matthew A. Getz

MB

ID

IMMUN

GENET

EPIDE

Yosuke Omae Japan

Rigard Mélanie France

Jasmine Ramirez United States

Romina Jimena Fernández‐Brando Argentina

Ana Lorena Gutiérrez‐Escolano Mexico

Maria Trovato Italy

Gadi Frankel United Kingdom

Shaofeng Deng China

Jonathan Rosenberg United States

Patrícia de Sousa-Pereira Portugal

Yosuke Omae Japan

Matthew A. Getz

361 ×1.0

MB

345 ×1.6

ID

109 ×0.8

IMMUN

98 ×2.2

GENET

49 ×1.4

EPIDE

Citations per year, relative to Matthew A. Getz Matthew A. Getz (= 1×) peers Yosuke Omae

Countries citing papers authored by Matthew A. Getz

Since Specialization

Citations

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

Fields of papers citing papers by Matthew A. Getz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew A. Getz

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

All Works

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5 of 5 papers shown

1.

Bricio-Moreno, Laura, Kathryn M. Hastie, Sara Landeras-Bueno, et al.. (2024). Identification of mouse CD4+ T cell epitopes in SARS-CoV-2 BA.1 spike and nucleocapsid for use in peptide:MHCII tetramers. Frontiers in Immunology. 15. 1329846–1329846.

2.

Naranbhai, Vivek, Anusha Nathan, Clarety Kaseke, et al.. (2022). T cell reactivity to the SARS-CoV-2 Omicron variant is preserved in most but not all individuals. Cell. 185(6). 1041–1051.e6. 157 indexed citations breakdown →

3.

Getz, Matthew A., David E. Weinberg, Ines A. Drinnenberg, Gerald R. Fink, & David P. Bartel. (2020). Xrn1p acts at multiple steps in the budding-yeast RNAi pathway to enhance the efficiency of silencing. Nucleic Acids Research. 4 indexed citations

4.

Vyas, Valmik K., G. Guy Bushkin, Douglas A. Bernstein, et al.. (2018). New CRISPR Mutagenesis Strategies Reveal Variation in Repair Mechanisms among Fungi. mSphere. 3(2). 76 indexed citations

5.

Levinsohn, Jonathan, Zachary L. Newman, Rasem Fattah, et al.. (2012). Anthrax Lethal Factor Cleavage of Nlrp1 Is Required for Activation of the Inflammasome. PLoS Pathogens. 8(3). e1002638–e1002638. 263 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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