Marisa R. Morrow

688 total citations
11 papers, 393 citations indexed

About

Marisa R. Morrow is a scholar working on Physiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Marisa R. Morrow has authored 11 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Marisa R. Morrow's work include Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Muscle metabolism and nutrition (2 papers). Marisa R. Morrow is often cited by papers focused on Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Muscle metabolism and nutrition (2 papers). Marisa R. Morrow collaborates with scholars based in Canada, China and United States. Marisa R. Morrow's co-authors include Gregory R. Steinberg, Guillaume Paré, Cynthia G. Sawyez, Dawn E. Telford, Amy C. Burke, Jane Y. Edwards, Murray W. Huff, Brian G. Sutherland, Hertzel C. Gerstein and Brennan K. Smith and has published in prestigious journals such as Cancer Research, Journal of Lipid Research and Cell Reports.

In The Last Decade

Marisa R. Morrow

9 papers receiving 390 citations

Peers

Marisa R. Morrow
Marisa R. Morrow
Citations per year, relative to Marisa R. Morrow Marisa R. Morrow (= 1×) peers Dawit Zewdu Wondafrash

Countries citing papers authored by Marisa R. Morrow

Since Specialization
Citations

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

Fields of papers citing papers by Marisa R. Morrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marisa R. Morrow. 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 Marisa R. Morrow. The network helps show where Marisa R. Morrow may publish in the future.

Co-authorship network of co-authors of Marisa R. Morrow

This figure shows the co-authorship network connecting the top 25 collaborators of Marisa R. Morrow. A scholar is included among the top collaborators of Marisa R. Morrow 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 Marisa R. Morrow. Marisa R. Morrow 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.
Batchuluun, Battsetseg, Tinne Thoné, Julian M. Yabut, et al.. (2025). Inhibiting peripheral serotonin activates liver AMPK and reduces monocyte-derived macrophages and fibrosis. Cell Reports. 44(12). 116607–116607.
2.
Tsakiridis, Evangelia E., Marisa R. Morrow, Eric M. Desjardins, et al.. (2023). Effects of the pesticide deltamethrin on high fat diet-induced obesity and insulin resistance in male mice. Food and Chemical Toxicology. 176. 113763–113763. 5 indexed citations
3.
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
4.
Desjardins, Eric M., Jianhan Wu, Elham Ahmadi, et al.. (2023). Combination of an ACLY inhibitor with a GLP-1R agonist exerts additive benefits on nonalcoholic steatohepatitis and hepatic fibrosis in mice. Cell Reports Medicine. 4(9). 101193–101193. 20 indexed citations
5.
Tsakiridis, Evangelia E., Marisa R. Morrow, Bo Wang, et al.. (2021). Exposure to the Widely Used Pyrethroid Pesticide Deltamethrin, Does Not Exacerbate High Fat Diet Induced Obesity or Insulin Resistance in C57BL/6J Mice. Journal of the Endocrine Society. 5(Supplement_1). A45–A46.
6.
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
7.
Burke, Amy C., Brian G. Sutherland, Dawn E. Telford, et al.. (2019). Naringenin enhances the regression of atherosclerosis induced by a chow diet in Ldlr mice. Atherosclerosis. 286. 60–70. 26 indexed citations
8.
Burke, Amy C., Brian G. Sutherland, Dawn E. Telford, et al.. (2018). Intervention with citrus flavonoids reverses obesity and improves metabolic syndrome and atherosclerosis in obese Ldlr−/− mice. Journal of Lipid Research. 59(9). 1714–1728. 99 indexed citations
9.
Burke, Amy C., Dawn E. Telford, Jane Y. Edwards, et al.. (2018). Naringenin Supplementation to a Chow Diet Enhances Energy Expenditure and Fatty Acid Oxidation, and Reduces Adiposity in Ldlr-/- Mice with Isocaloric Food Intake. Atherosclerosis Supplements. 32. 23–23. 1 indexed citations
10.
Subbaramaiah, Kotha, Ayca Gucalp, Heba Zahid, et al.. (2017). Abstract PD5-05: Metabolic obesity, adipose inflammation and aromatase: Potential drivers of breast cancer risk in women with normal body mass index. Cancer Research. 77(4_Supplement). PD5–5. 7 indexed citations
11.
Morrow, Marisa R., Orlando Auciello, Steven Dzioba, & Roger Kelly. (1980). On the problem of whether the transition probability plays a role in describing secondary-photon yields. Surface Science. 97(1). 243–256. 8 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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