Matthew Gargus

1.3k total citations · 2 hit papers
11 papers, 765 citations indexed

About

Matthew Gargus is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matthew Gargus has authored 11 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matthew Gargus's work include Esophageal and GI Pathology (4 papers), Gut microbiota and health (3 papers) and Tracheal and airway disorders (3 papers). Matthew Gargus is often cited by papers focused on Esophageal and GI Pathology (4 papers), Gut microbiota and health (3 papers) and Tracheal and airway disorders (3 papers). Matthew Gargus collaborates with scholars based in United States. Matthew Gargus's co-authors include Jie Tang, David M. Underhill, Jose J. Limon, Jordan Brown, Iliyan D. Iliev, Timothy R. Crother, Christian Leal, Matthew L. Wheeler, Joseph H. Skalski and Vincent Funari and has published in prestigious journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy and Cell Host & Microbe.

In The Last Decade

Matthew Gargus

11 papers receiving 760 citations

Hit Papers

Immunological Consequences of Intestinal Fungal Dysbiosis 2016 2026 2019 2022 2016 2019 100 200 300

Peers

Matthew Gargus
Quoclinh Nguyen United States
Alexa Semon United States
Itai Doron United States
Joseph D. Planer United States
Eduard Ansaldo United States
Elizabeth Ruggiero United States
Aubrey L. Frantz United States
Quoclinh Nguyen United States
Matthew Gargus
Citations per year, relative to Matthew Gargus Matthew Gargus (= 1×) peers Quoclinh Nguyen

Countries citing papers authored by Matthew Gargus

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Gargus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Gargus

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

All Works

11 of 11 papers shown
1.
Gargus, Matthew, et al.. (2023). Influence of complement protein C1q or complement receptor C5aR1 on gut microbiota composition in wildtype and Alzheimer’s mouse models. Journal of Neuroinflammation. 20(1). 211–211. 6 indexed citations
2.
Ranjbar, Saba, et al.. (2020). Thriving Under Stress: Pseudomonas aeruginosa Outcompetes the Background Polymicrobial Community Under Treatment Conditions in a Novel Chronic Wound Model. Frontiers in Cellular and Infection Microbiology. 10. 569685–569685. 8 indexed citations
3.
Riedel, Stefan, Lindsay J. Caverly, Lisa A. Carmody, et al.. (2020). Liquid Chromatography Mass Spectrometry Detection of Antibiotic Agents in Sputum from Persons with Cystic Fibrosis. Antimicrobial Agents and Chemotherapy. 65(2). 11 indexed citations
4.
Limon, Jose J., Jie Tang, Dalin Li, et al.. (2019). Malassezia Is Associated with Crohn’s Disease and Exacerbates Colitis in Mouse Models. Cell Host & Microbe. 25(3). 377–388.e6. 311 indexed citations breakdown →
5.
Skalski, Joseph H., Jose J. Limon, Purnima Sharma, et al.. (2018). Expansion of commensal fungus Wallemia mellicola in the gastrointestinal mycobiota enhances the severity of allergic airway disease in mice. PLoS Pathogens. 14(9). e1007260–e1007260. 74 indexed citations
6.
Niu, Chao, et al.. (2016). Generation and Characterization of an Immortalized Human Esophageal Myofibroblast Line. PLoS ONE. 11(4). e0153185–e0153185. 4 indexed citations
7.
Wheeler, Matthew L., Jose J. Limon, Christian Leal, et al.. (2016). Immunological Consequences of Intestinal Fungal Dysbiosis. Cell Host & Microbe. 19(6). 865–873. 314 indexed citations breakdown →
8.
Gargus, Matthew, Chao Niu, & Anisa Shaker. (2015). Isolation of Myofibroblasts from Mouse and Human Esophagus. Journal of Visualized Experiments. 52215–52215. 7 indexed citations
9.
Gargus, Matthew, Chao Niu, & Anisa Shaker. (2015). Isolation of Myofibroblasts from Mouse and Human Esophagus. Journal of Visualized Experiments. 5 indexed citations
10.
Gargus, Matthew, et al.. (2015). Human esophageal myofibroblasts secrete proinflammatory cytokines in response to acid and Toll-like receptor 4 ligands. American Journal of Physiology-Gastrointestinal and Liver Physiology. 308(11). G904–G923. 19 indexed citations
11.
Shaker, Anisa, Matthew Gargus, Jana Binkley, et al.. (2014). Epimorphin−/− mice are protected, in part, from acute colitis via decreased interleukin 6 signaling. Translational research. 164(1). 70–83. 6 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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