Conor O’Dwyer

428 total citations
12 papers, 286 citations indexed

About

Conor O’Dwyer is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Conor O’Dwyer has authored 12 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Epidemiology and 4 papers in Physiology. Recurrent topics in Conor O’Dwyer's work include Peroxisome Proliferator-Activated Receptors (4 papers), Diet and metabolism studies (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Conor O’Dwyer is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (4 papers), Diet and metabolism studies (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Conor O’Dwyer collaborates with scholars based in Canada, France and United States. Conor O’Dwyer's co-authors include Morgan D. Fullerton, Nicholas D. LeBlond, Peyman Ghorbani, Steffany A. L. Bennett, Gregory R. Steinberg, Kaitlyn D. Margison, Hongbin Xu, Andrew Wang, Dawn E. Telford and Amy C. Burke and has published in prestigious journals such as Journal of Biological Chemistry, Cell Metabolism and International Journal of Molecular Sciences.

In The Last Decade

Conor O’Dwyer

12 papers receiving 284 citations

Peers

Conor O’Dwyer
Narges Mohammadtaghvaei Iran
Hee-Seon Park South Korea
Jessica Patché France
Qianqian Dong China
Hanaa Hibishy Gaballah Egypt
Amany Helmy Hasanin Egypt
Youyou Li China
Dennis Jine-Yuan Hsieh Taiwan
Ryutaro Ikegami Japan
Francisco Canet Spain
Narges Mohammadtaghvaei Iran
Conor O’Dwyer
Citations per year, relative to Conor O’Dwyer Conor O’Dwyer (= 1×) peers Narges Mohammadtaghvaei

Countries citing papers authored by Conor O’Dwyer

Since Specialization
Citations

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

Fields of papers citing papers by Conor O’Dwyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Conor O’Dwyer. 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 Conor O’Dwyer. The network helps show where Conor O’Dwyer may publish in the future.

Co-authorship network of co-authors of Conor O’Dwyer

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

All Works

12 of 12 papers shown
1.
Han, Fang, Fernando F. Anhê, Nicole G. Barra, et al.. (2025). Gut substrate trap of D-lactate from microbiota improves blood glucose and fatty liver disease in obese mice. Cell Metabolism. 37(9). 1806–1819.e7. 6 indexed citations
2.
O’Dwyer, Conor, et al.. (2024). Myeloid AMPK signaling restricts fibrosis but is not required for metformin improvements during CDAHFD-induced NASH in mice. Journal of Lipid Research. 65(6). 100564–100564. 3 indexed citations
3.
Ghorbani, Peyman, et al.. (2023). Thermoneutral housing does not accelerate metabolic dysfunction-associated fatty liver disease in male or female C57Bl/6J mice fed a Western diet. American Journal of Physiology-Endocrinology and Metabolism. 325(1). E10–E20. 9 indexed citations
4.
Pileggi, Chantal A., Denis P. Blondin, Irina Alecu, et al.. (2022). Exercise training enhances muscle mitochondrial metabolism in diet-resistant obesity. EBioMedicine. 83. 104192–104192. 21 indexed citations
5.
Burke, Amy C., Andrew Wang, Dawn E. Telford, et al.. (2020). The citrus flavonoid nobiletin confers protection from metabolic dysregulation in high-fat-fed mice independent of AMPK. Journal of Lipid Research. 61(3). 387–402. 50 indexed citations
6.
LeBlond, Nicholas D., Conor O’Dwyer, Sabrina Robichaud, et al.. (2020). Foam Cell Induction Activates AMPK But Uncouples Its Regulation of Autophagy and Lysosomal Homeostasis. International Journal of Molecular Sciences. 21(23). 9033–9033. 6 indexed citations
7.
O’Dwyer, Conor, Sakie Katsumura, Peyman Ghorbani, et al.. (2020). Hepatic Choline Transport Is Inhibited During Fatty Acid–Induced Lipotoxicity and Obesity. Hepatology Communications. 4(6). 876–889. 6 indexed citations
8.
O’Dwyer, Conor, Renske D.M. Steenbergen, Tyler M. Renner, et al.. (2020). In Vitro Hepatitis C Virus Infection and Hepatic Choline Metabolism. Viruses. 12(1). 108–108. 8 indexed citations
9.
Petrick, Heather L., Kevin P. Foley, Soumaya Zlitni, et al.. (2020). Adipose Tissue Inflammation Is Directly Linked to Obesity-Induced Insulin Resistance, while Gut Dysbiosis and Mitochondrial Dysfunction Are Not Required. Function. 1(2). zqaa013–zqaa013. 14 indexed citations
10.
LeBlond, Nicholas D., Peyman Ghorbani, Conor O’Dwyer, et al.. (2020). Myeloid deletion and therapeutic activation of AMPK do not alter atherosclerosis in male or female mice. Journal of Lipid Research. 61(12). 1697–1706. 10 indexed citations
11.
Margison, Kaitlyn D., Peyman Ghorbani, Nicholas D. LeBlond, et al.. (2018). Choline transport links macrophage phospholipid metabolism and inflammation. Journal of Biological Chemistry. 293(29). 11600–11611. 83 indexed citations
12.

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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2026