Ryan G. Gaudet

935 total citations
11 papers, 564 citations indexed

About

Ryan G. Gaudet is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Ryan G. Gaudet has authored 11 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Virology. Recurrent topics in Ryan G. Gaudet's work include Immune Response and Inflammation (4 papers), HIV Research and Treatment (3 papers) and Reproductive tract infections research (2 papers). Ryan G. Gaudet is often cited by papers focused on Immune Response and Inflammation (4 papers), HIV Research and Treatment (3 papers) and Reproductive tract infections research (2 papers). Ryan G. Gaudet collaborates with scholars based in Canada, United States and France. Ryan G. Gaudet's co-authors include Scott D. Gray‐Owen, Jody D. Berry, Nina R. Salama, Alevtina Gall, Andrew D. Cox, Anna Sintsova, Carolyn M. Buckwalter, Nelly Leung, Jason Moffat and Alan Cochrane and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ryan G. Gaudet

11 papers receiving 553 citations

Peers

Ryan G. Gaudet

IMMUN

MB

SURGE

ID

EPIDE

Dragana Nešić United States

Catherine L. Kennedy Australia

Emanuela Palla Italy

Gert Carra Germany

Giuseppe Del Giudice Switzerland

Bianca Bauer Germany

Juan Martín Marqués Uruguay

Yok Teng Chionh Australia

William J. Nadeau United States

Mariëtta M Ravesloot-Chávez United States

Dragana Nešić United States

Ryan G. Gaudet

336 ×1.4

IMMUN

261 ×1.4

MB

142 ×1.0

SURGE

63 ×0.5

ID

75 ×0.8

EPIDE

Citations per year, relative to Ryan G. Gaudet Ryan G. Gaudet (= 1×) peers Dragana Nešić

Countries citing papers authored by Ryan G. Gaudet

Since Specialization

Citations

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

Fields of papers citing papers by Ryan G. Gaudet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan G. Gaudet. 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 Ryan G. Gaudet. The network helps show where Ryan G. Gaudet may publish in the future.

Co-authorship network of co-authors of Ryan G. Gaudet

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

All Works

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11 of 11 papers shown

1.

Xu, Dijin, Weiqian Jiang, Lizhen Wu, et al.. (2023). PLSCR1 is a cell-autonomous defence factor against SARS-CoV-2 infection. Nature. 619(7971). 819–827. 27 indexed citations

2.

Gaudet, Ryan G., Shiwei Zhu, Bae-Hoon Kim, et al.. (2021). A human apolipoprotein L with detergent-like activity kills intracellular pathogens. Science. 373(6552). 64 indexed citations

3.

O’Meara, Teresa R., Michelle E. Maxson, Ryan G. Gaudet, et al.. (2018). High-Throughput Screening Identifies Genes Required for Candida albicans Induction of Macrophage Pyroptosis. mBio. 9(4). 53 indexed citations

4.

Gaudet, Ryan G., Raphael Molinaro, John R. Rohde, et al.. (2017). Innate Recognition of Intracellular Bacterial Growth Is Driven by the TIFA-Dependent Cytosolic Surveillance Pathway. Cell Reports. 19(7). 1418–1430. 44 indexed citations

5.

Gall, Alevtina, Ryan G. Gaudet, Scott D. Gray‐Owen, & Nina R. Salama. (2017). TIFA Signaling in Gastric Epithelial Cells Initiates thecagType 4 Secretion System-Dependent Innate Immune Response toHelicobacter pyloriInfection. mBio. 8(4). 108 indexed citations

6.

Gaudet, Ryan G. & Scott D. Gray‐Owen. (2016). Heptose Sounds the Alarm: Innate Sensing of a Bacterial Sugar Stimulates Immunity. PLoS Pathogens. 12(9). e1005807–e1005807. 21 indexed citations

7.

Gaudet, Ryan G., Clinton J. Bradfield, & John D. MacMicking. (2016). Evolution of Cell-Autonomous Effector Mechanisms in Macrophages versus Non-Immune Cells. Microbiology Spectrum. 4(6). 17 indexed citations

8.

Gaudet, Ryan G., Anna Sintsova, Carolyn M. Buckwalter, et al.. (2015). Cytosolic detection of the bacterial metabolite HBP activates TIFA-dependent innate immunity. Science. 348(6240). 1251–1255. 120 indexed citations

9.

Malott, Rebecca J., Bernd O. Keller, Ryan G. Gaudet, et al.. (2013). Neisseria gonorrhoeae-derived heptose elicits an innate immune response and drives HIV-1 expression. Proceedings of the National Academy of Sciences. 110(25). 10234–10239. 47 indexed citations

10.

Berry, Jody D. & Ryan G. Gaudet. (2011). Antibodies in infectious diseases: polyclonals, monoclonals and niche biotechnology. New Biotechnology. 28(5). 489–501. 58 indexed citations

11.

Gaudet, Ryan G., Felix Breden, Frank Plummer, & Jody D. Berry. (2011). Molecular characterization of the cervical and systemic B-cell repertoire. mAbs. 3(2). 181–191. 5 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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