Jon A. Hagar

2.3k total citations · 2 hit papers
8 papers, 1.9k citations indexed

About

Jon A. Hagar is a scholar working on Molecular Biology, Epidemiology and Endocrinology. According to data from OpenAlex, Jon A. Hagar has authored 8 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Endocrinology. Recurrent topics in Jon A. Hagar's work include Inflammasome and immune disorders (4 papers), interferon and immune responses (2 papers) and Cell death mechanisms and regulation (2 papers). Jon A. Hagar is often cited by papers focused on Inflammasome and immune disorders (4 papers), interferon and immune responses (2 papers) and Cell death mechanisms and regulation (2 papers). Jon A. Hagar collaborates with scholars based in United States, Japan and Germany. Jon A. Hagar's co-authors include Edward A. Miao, Youssef Aachoui, Robert K. Ernst, Daniel A. Powell, Peggy A. Cotter, Cristine G. Campos, Alan Aderem, Irina A. Leaf, Mary F. Fontana and Russell E. Vance and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jon A. Hagar

8 papers receiving 1.8k citations

Hit Papers

Cytoplasmic LPS Activates Caspase-11: Implications in TLR... 2013 2026 2017 2021 2013 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon A. Hagar United States 8 1.4k 914 233 199 179 8 1.9k
Youssef Aachoui United States 13 1.7k 1.1× 1.0k 1.1× 240 1.0× 232 1.2× 108 0.6× 17 2.1k
Monica Dors United States 3 1.7k 1.2× 1.2k 1.3× 208 0.9× 212 1.1× 251 1.4× 3 2.2k
Dat P. Mao United States 8 1.9k 1.3× 1.2k 1.3× 241 1.0× 264 1.3× 230 1.3× 8 2.4k
Mathias S. Dick Switzerland 9 1.5k 1.0× 818 0.9× 207 0.9× 168 0.8× 83 0.5× 10 1.9k
Ine Jørgensen United States 9 1.7k 1.1× 901 1.0× 371 1.6× 218 1.1× 96 0.5× 11 2.3k
Eric M. Kofoed United States 15 1.4k 1.0× 929 1.0× 180 0.8× 152 0.8× 189 1.1× 25 2.3k
Jennifer J. Dong United States 9 2.2k 1.5× 1.2k 1.3× 278 1.2× 194 1.0× 106 0.6× 10 2.6k
Larissa D. Cunha Brazil 14 1.2k 0.8× 765 0.8× 591 2.5× 375 1.9× 131 0.7× 21 2.2k
Manira Rayamajhi United States 10 899 0.6× 660 0.7× 208 0.9× 131 0.7× 71 0.4× 11 1.5k
Sandhya Ganesan United States 9 1.6k 1.1× 1.4k 1.6× 469 2.0× 177 0.9× 68 0.4× 12 2.4k

Countries citing papers authored by Jon A. Hagar

Since Specialization
Citations

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

Fields of papers citing papers by Jon A. Hagar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon A. Hagar

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

All Works

8 of 8 papers shown
1.
Hagar, Jon A., Matthew L. Edin, Fred B. Lih, et al.. (2017). Lipopolysaccharide Potentiates Insulin-Driven Hypoglycemic Shock. The Journal of Immunology. 199(10). 3634–3643. 18 indexed citations
2.
Hagar, Jon A., Arun Kumar Haldar, Daniel Degrandi, et al.. (2014). Guanylate binding proteins promote caspase-11–dependent pyroptosis in response to cytoplasmic LPS. Proceedings of the National Academy of Sciences. 111(16). 6046–6051. 273 indexed citations
3.
Hagar, Jon A., Daniel A. Powell, Youssef Aachoui, Robert K. Ernst, & Edward A. Miao. (2013). Cytoplasmic LPS Activates Caspase-11: Implications in TLR4-Independent Endotoxic Shock. Science. 341(6151). 1250–1253. 991 indexed citations breakdown →
4.
Hagar, Jon A. & Edward A. Miao. (2013). Detection of cytosolic bacteria by inflammatory caspases. Current Opinion in Microbiology. 17. 61–66. 17 indexed citations
5.
Aachoui, Youssef, Irina A. Leaf, Jon A. Hagar, et al.. (2013). Caspase-11 Protects Against Bacteria That Escape the Vacuole. Science. 339(6122). 975–978. 435 indexed citations breakdown →
6.
Garcia, Erin C., Melissa S. Anderson, Jon A. Hagar, & Peggy A. Cotter. (2013). BurkholderiaBcpA mediates biofilm formation independently of interbacterial contact‐dependent growth inhibition. Molecular Microbiology. 89(6). 1213–1225. 62 indexed citations
7.
Cassidy, Sara K. B., Jon A. Hagar, Thirumala‐Devi Kanneganti, et al.. (2012). Membrane Damage during Listeria monocytogenes Infection Triggers a Caspase-7 Dependent Cytoprotective Response. PLoS Pathogens. 8(7). e1002628–e1002628. 33 indexed citations
8.
Christensen, Quin H., Jon A. Hagar, Mary O’Riordan, & John E. Cronan. (2011). A Complex Lipoate Utilization Pathway in Listeria monocytogenes. Journal of Biological Chemistry. 286(36). 31447–31456. 28 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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