Michelle Corrigan

878 total citations
8 papers, 676 citations indexed

About

Michelle Corrigan is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Michelle Corrigan has authored 8 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Michelle Corrigan's work include IL-33, ST2, and ILC Pathways (4 papers), Immune Cell Function and Interaction (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Michelle Corrigan is often cited by papers focused on IL-33, ST2, and ILC Pathways (4 papers), Immune Cell Function and Interaction (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Michelle Corrigan collaborates with scholars based in Ireland, United States and Canada. Michelle Corrigan's co-authors include Donal O’Shea, Andrew E. Hogan, Lydia Lynch, Jeff Connell, Gadintshware Gaoatswe, Conor Woods, Declan Cody, Derek G. Doherty, Justin Geoghegan and Daniel J. Drucker and has published in prestigious journals such as The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and Cell Metabolism.

In The Last Decade

Michelle Corrigan

8 papers receiving 668 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michelle Corrigan Ireland	8	256	213	190	168	143	8	676
Amy Fleischman United States	7	116 0.5×	220 1.0×	138 0.7×	115 0.7×	160 1.1×	8	513
Dario A. Gutierrez United States	10	207 0.8×	303 1.4×	289 1.5×	54 0.3×	98 0.7×	15	599
Ashley E. White United States	10	201 0.8×	338 1.6×	323 1.7×	64 0.4×	102 0.7×	10	618
Xiaohua Fu China	15	116 0.5×	126 0.6×	151 0.8×	59 0.4×	167 1.2×	55	683
Nathan C. Winn United States	16	120 0.5×	313 1.5×	501 2.6×	135 0.8×	156 1.1×	38	866
Sonja Valentić Croatia	3	305 1.2×	366 1.7×	277 1.5×	37 0.2×	110 0.8×	3	718
Samia Warsame Kuwait	10	80 0.3×	185 0.9×	181 1.0×	51 0.3×	192 1.3×	14	524
Anna Kwaśnik Ireland	5	106 0.4×	193 0.9×	183 1.0×	56 0.3×	59 0.4×	8	402
George D. Montoya United States	12	123 0.5×	208 1.0×	130 0.7×	77 0.5×	122 0.9×	17	668

Countries citing papers authored by Michelle Corrigan

Since Specialization

Citations

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

Fields of papers citing papers by Michelle Corrigan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Corrigan

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

All Works

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8 of 8 papers shown

Lynch, Lydia, Andrew E. Hogan, Danielle Duquette, et al.. (2016). iNKT Cells Induce FGF21 for Thermogenesis and Are Required for Maximal Weight Loss in GLP1 Therapy. Cell Metabolism. 24(3). 510–519. 148 indexed citations

Tobin, Laura, Michelle Corrigan, Greg Byrne, et al.. (2015). Altered Distribution and Increased IL-17 Production by Mucosal-Associated Invariant T Cells in Adult and Childhood Obesity. The Journal of Immunology. 194(12). 5775–5780. 142 indexed citations

Gaoatswe, Gadintshware, Brian D. Kent, Michelle Corrigan, et al.. (2015). Invariant Natural Killer T Cell Deficiency and Functional Impairment in Sleep Apnea: Links to Cancer Comorbidity. SLEEP. 38(10). 1629–1634. 29 indexed citations

Tynan, Graham A., Claire H. Hearnden, Ewa Oleszycka, et al.. (2014). Endogenous Oils Derived From Human Adipocytes Are Potent Adjuvants That Promote IL-1α–Dependent Inflammation. Diabetes. 63(6). 2037–2050. 39 indexed citations

Hogan, Andrew E., Michelle Corrigan, Jeff Connell, et al.. (2013). The Impact of Childhood Obesity on Inflammation, Innate Immune Cell Frequency, and Metabolic MicroRNA Expression. The Journal of Clinical Endocrinology & Metabolism. 99(3). E474–E478. 79 indexed citations

Hogan, Andrew E., Gadintshware Gaoatswe, Lydia Lynch, et al.. (2013). Glucagon-like peptide 1 analogue therapy directly modulates innate immune-mediated inflammation in individuals with type 2 diabetes mellitus. Diabetologia. 57(4). 781–784. 190 indexed citations

Ryan, Miriam, et al.. (2013). Glycemic, Insulinemic, and Appetite Responses of Patients With Type 2 Diabetes to Commonly Consumed Breads. The Diabetes Educator. 39(3). 376–386. 22 indexed citations

Hogan, Andrew E., Michelle Corrigan, Vincent O’Reilly, et al.. (2011). Cigarette smoke alters the invariant natural killer T cell function and may inhibit anti-tumor responses. Clinical Immunology. 140(3). 229–235. 27 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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