Emily A. Day

3.7k total citations · 3 hit papers
27 papers, 2.4k citations indexed

About

Emily A. Day is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Emily A. Day has authored 27 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Physiology and 9 papers in Surgery. Recurrent topics in Emily A. Day's work include Metabolism, Diabetes, and Cancer (11 papers), Pancreatic function and diabetes (6 papers) and GDF15 and Related Biomarkers (4 papers). Emily A. Day is often cited by papers focused on Metabolism, Diabetes, and Cancer (11 papers), Pancreatic function and diabetes (6 papers) and GDF15 and Related Biomarkers (4 papers). Emily A. Day collaborates with scholars based in Canada, United States and Ireland. Emily A. Day's co-authors include Gregory R. Steinberg, Rebecca J. Ford, Brennan K. Smith, Logan K. Townsend, Sebastian B. Jørgensen, Dongdong Wang, Djordje Djordjevic, Stephen L. Pinkosky, Richard C. Austin and Šárka Lhoták and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Emily A. Day

27 papers receiving 2.4k citations

Hit Papers

AMPK as a Therapeutic Target for Treating Metabolic Diseases 2016 2026 2019 2022 2017 2016 2021 100 200 300 400 500

Peers

Emily A. Day
Emily A. Day
Citations per year, relative to Emily A. Day Emily A. Day (= 1×) peers Josefa Girona

Countries citing papers authored by Emily A. Day

Since Specialization
Citations

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

Fields of papers citing papers by Emily A. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily A. Day

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

All Works

20 of 20 papers shown
1.
Rehill, Aisling M., Tristram A. J. Ryan, Gemma León, et al.. (2025). Trained immunity causes myeloid cell hypercoagulability. Science Advances. 11(10). eads0105–eads0105. 3 indexed citations
2.
Desjardins, Eric M., Emily A. Day, John W. Scott, & Gregory R. Steinberg. (2025). Sensing of Long-Chain Fatty Acyl-CoA Esters by AMPK. Methods in molecular biology. 2882. 121–137. 2 indexed citations
3.
Douglas, Aaron, Harry Kane, Evan B. Lynch, et al.. (2024). Rhythmic IL-17 production by γδ T cells maintains adipose de novo lipogenesis. Nature. 636(8041). 206–214. 11 indexed citations
4.
Day, Emily A., Katie O’Brien, Aine Ni Scannail, et al.. (2024). Metformin and feeding increase levels of the appetite-suppressing metabolite Lac-Phe in humans. Nature Metabolism. 6(4). 651–658. 40 indexed citations
5.
Peace, Christian G., Juliana E. Toller-Kawahisa, Alexander Hooftman, et al.. (2024). Itaconate drives mtRNA-mediated type I interferon production through inhibition of succinate dehydrogenase. Nature Metabolism. 6(11). 2060–2069. 15 indexed citations
6.
Diskin, Ciana, et al.. (2023). 4-Octyl Itaconate and Dimethyl Fumarate Induce Secretion of the Anti-Inflammatory Protein Annexin A1 via NRF2. The Journal of Immunology. 211(6). 1032–1041. 7 indexed citations
7.
Toller-Kawahisa, Juliana E., Carlos Hiroji Hiroki, Camila M. Silva, et al.. (2023). The metabolic function of pyruvate kinase M2 regulates reactive oxygen species production and microbial killing by neutrophils. Nature Communications. 14(1). 4280–4280. 37 indexed citations
8.
Day, Emily A., Logan K. Townsend, Sonia Rehal, et al.. (2023). Macrophage AMPK β1 activation by PF-06409577 reduces the inflammatory response, cholesterol synthesis, and atherosclerosis in mice. iScience. 26(11). 108269–108269. 8 indexed citations
9.
Desjardins, Eric M., Brennan K. Smith, Emily A. Day, et al.. (2022). The phosphorylation of AMPKβ1 is critical for increasing autophagy and maintaining mitochondrial homeostasis in response to fatty acids. Proceedings of the National Academy of Sciences. 119(48). e2119824119–e2119824119. 29 indexed citations
10.
Sanders, Matthew J., Nicolas Bonhoure, Emily A. Day, et al.. (2022). Natural (dihydro)phenanthrene plant compounds are direct activators of AMPK through its allosteric drug and metabolite–binding site. Journal of Biological Chemistry. 298(5). 101852–101852. 11 indexed citations
11.
Day, Emily A., Rebecca J. Ford, Brennan K. Smith, et al.. (2021). Salsalate reduces atherosclerosis through AMPKβ1 in mice. Molecular Metabolism. 53. 101321–101321. 13 indexed citations
12.
Wang, Bo, Evangelia E. Tsakiridis, Shuman Zhang, et al.. (2021). The pesticide chlorpyrifos promotes obesity by inhibiting diet-induced thermogenesis in brown adipose tissue. Nature Communications. 12(1). 5163–5163. 60 indexed citations
13.
Wang, Dongdong, Emily A. Day, Logan K. Townsend, et al.. (2021). GDF15: emerging biology and therapeutic applications for obesity and cardiometabolic disease. Nature Reviews Endocrinology. 17(10). 592–607. 296 indexed citations breakdown →
14.
Pinkosky, Stephen L., John W. Scott, Eric M. Desjardins, et al.. (2020). Long-chain fatty acyl-CoA esters regulate metabolism via allosteric control of AMPK β1 isoforms. Nature Metabolism. 2(9). 873–881. 101 indexed citations
15.
Yabut, Julian M., Eric M. Desjardins, Eric Chan, et al.. (2020). Genetic deletion of mast cell serotonin synthesis prevents the development of obesity and insulin resistance. Nature Communications. 11(1). 463–463. 43 indexed citations
16.
Day, Emily A., Rebecca J. Ford, Eric M. Desjardins, et al.. (2020). The SGLT2 inhibitor canagliflozin suppresses lipid synthesis and interleukin-1 beta in ApoE deficient mice. Biochemical Journal. 477(12). 2347–2361. 30 indexed citations
17.
Platko, Khrystyna, Paul Lebeau, Jae Hyun Byun, et al.. (2019). GDF10 blocks hepatic PPARγ activation to protect against diet-induced liver injury. Molecular Metabolism. 27. 62–74. 21 indexed citations
18.
Day, Emily A., Rebecca J. Ford, Brennan K. Smith, et al.. (2019). Metformin-induced increases in GDF15 are important for suppressing appetite and promoting weight loss. Nature Metabolism. 1(12). 1202–1208. 219 indexed citations
19.
Pinkosky, Stephen L., Roger S. Newton, Emily A. Day, et al.. (2016). Liver-specific ATP-citrate lyase inhibition by bempedoic acid decreases LDL-C and attenuates atherosclerosis. Nature Communications. 7(1). 13457–13457. 327 indexed citations
20.
Fullerton, Morgan D., Rebecca J. Ford, Nicholas D. LeBlond, et al.. (2015). Salicylate improves macrophage cholesterol homeostasis via activation of Ampk. Journal of Lipid Research. 56(5). 1025–1033. 57 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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