Matthew T. Flowers

2.8k total citations
32 papers, 2.2k citations indexed

About

Matthew T. Flowers is a scholar working on Molecular Biology, Biochemistry and Epidemiology. According to data from OpenAlex, Matthew T. Flowers has authored 32 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Biochemistry and 8 papers in Epidemiology. Recurrent topics in Matthew T. Flowers's work include Lipid metabolism and biosynthesis (13 papers), Peroxisome Proliferator-Activated Receptors (11 papers) and Fatty Acid Research and Health (7 papers). Matthew T. Flowers is often cited by papers focused on Lipid metabolism and biosynthesis (13 papers), Peroxisome Proliferator-Activated Receptors (11 papers) and Fatty Acid Research and Health (7 papers). Matthew T. Flowers collaborates with scholars based in United States, Netherlands and Canada. Matthew T. Flowers's co-authors include James M. Ntambi, Xueqing Liu, Kiki Chu, Harini Sampath, Makoto Miyazaki, Alan Attie, Lan Hong, Chad M. Paton, Michael A. Wells and Mark P. Keller and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and PLoS ONE.

In The Last Decade

Matthew T. Flowers

32 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew T. Flowers United States 21 966 576 540 503 501 32 2.2k
Holger Doege United States 17 1.2k 1.3× 563 1.0× 472 0.9× 347 0.7× 475 0.9× 18 2.2k
Cathérine Mounier Canada 27 1.0k 1.1× 428 0.7× 288 0.5× 239 0.5× 282 0.6× 66 2.1k
M. Mahmood Hussain United States 26 924 1.0× 321 0.6× 574 1.1× 420 0.8× 263 0.5× 56 2.1k
Gen‐ichi Atsumi Japan 20 1.8k 1.9× 610 1.1× 270 0.5× 256 0.5× 532 1.1× 43 3.0k
Chi–Liang Eric Yen United States 20 1.2k 1.2× 729 1.3× 404 0.7× 1.2k 2.4× 345 0.7× 33 2.5k
Lei O. Li United States 20 1.4k 1.4× 605 1.1× 232 0.4× 668 1.3× 370 0.7× 23 2.3k
Yingjiang Zhou United States 21 1.4k 1.4× 708 1.2× 499 0.9× 194 0.4× 873 1.7× 34 2.9k
Sandra Guilmeau France 24 722 0.7× 447 0.8× 356 0.7× 99 0.2× 405 0.8× 42 1.9k
Joseph L. Dixon United States 25 1.2k 1.2× 278 0.5× 496 0.9× 539 1.1× 355 0.7× 46 2.2k
Hélène Poirier France 17 835 0.9× 455 0.8× 321 0.6× 279 0.6× 231 0.5× 22 1.6k

Countries citing papers authored by Matthew T. Flowers

Since Specialization
Citations

This map shows the geographic impact of Matthew T. Flowers'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 Matthew T. Flowers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Flowers more than expected).

Fields of papers citing papers by Matthew T. Flowers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew T. Flowers. 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 Matthew T. Flowers. The network helps show where Matthew T. Flowers may publish in the future.

Co-authorship network of co-authors of Matthew T. Flowers

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. Flowers. A scholar is included among the top collaborators of Matthew T. Flowers 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 Matthew T. Flowers. Matthew T. Flowers 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.
Kapoor, Amita, et al.. (2022). Aromatase Inhibition Eliminates Sexual Receptivity Without Enhancing Weight Gain in Ovariectomized Marmoset Monkeys. Journal of the Endocrine Society. 6(6). bvac063–bvac063. 2 indexed citations
2.
Wang, Yuyuan, Kathy J. Snow, Stephen A. Murray, et al.. (2022). Efficient in vivo neuronal genome editing in the mouse brain using nanocapsules containing CRISPR-Cas9 ribonucleoproteins. Biomaterials. 293. 121959–121959. 19 indexed citations
3.
Colman, Ricki J., et al.. (2018). Ovarian estradiol supports sexual behavior but not energy homeostasis in female marmoset monkeys. International Journal of Obesity. 43(5). 1034–1045. 2 indexed citations
4.
Flowers, Matthew T., et al.. (2017). Extraovarian gonadotropin negative feedback revealed by aromatase inhibition in female marmoset monkeys. American Journal of Physiology-Endocrinology and Metabolism. 313(5). E507–E514. 9 indexed citations
5.
Liu, Xueqing, Maggie S. Burhans, Matthew T. Flowers, & James M. Ntambi. (2016). Hepatic oleate regulates liver stress response partially through PGC-1α during high-carbohydrate feeding. Journal of Hepatology. 65(1). 103–112. 38 indexed citations
6.
Burhans, Maggie S., Matthew T. Flowers, Laura M. Bond, et al.. (2015). Hepatic oleate regulates adipose tissue lipogenesis and fatty acid oxidation. Journal of Lipid Research. 56(2). 304–318. 48 indexed citations
7.
Bethea, Cynthia L., Arubala P. Reddy, Matthew T. Flowers, et al.. (2014). High fat diet decreases beneficial effects of estrogen on serotonin-related gene expression in marmosets. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 58. 71–80. 9 indexed citations
8.
Flowers, Matthew T., et al.. (2013). SCD1 activity in muscle increases triglyceride PUFA content, exercise capacity, and PPARΔ expression in mice. Journal of Lipid Research. 54(10). 2636–2646. 48 indexed citations
9.
Flowers, Matthew T., et al.. (2012). Combined deletion of SCD1 from adipose tissue and liver does not protect mice from obesity. Journal of Lipid Research. 53(8). 1646–1653. 47 indexed citations
10.
Flowers, Matthew T., Chad M. Paton, Sheila M. O’Byrne, et al.. (2011). Metabolic Changes in Skin Caused by Scd1 Deficiency: A Focus on Retinol Metabolism. PLoS ONE. 6(5). e19734–e19734. 33 indexed citations
11.
Liu, Xueqing, Makoto Miyazaki, Matthew T. Flowers, et al.. (2009). Loss of Stearoyl-CoA Desaturase-1 Attenuates Adipocyte Inflammation. Arteriosclerosis Thrombosis and Vascular Biology. 30(1). 31–38. 65 indexed citations
12.
Miyazaki, Makoto, Harini Sampath, Xueqing Liu, et al.. (2009). Stearoyl-CoA desaturase-1 deficiency attenuates obesity and insulin resistance in leptin-resistant obese mice. Biochemical and Biophysical Research Communications. 380(4). 818–822. 92 indexed citations
13.
Sampath, Harini, Matthew T. Flowers, Xueqing Liu, et al.. (2009). Skin-specific Deletion of Stearoyl-CoA Desaturase-1 Alters Skin Lipid Composition and Protects Mice from High Fat Diet-induced Obesity. Journal of Biological Chemistry. 284(30). 19961–19973. 139 indexed citations
14.
Flowers, Matthew T. & James M. Ntambi. (2009). Stearoyl-CoA desaturase and its relation to high-carbohydrate diets and obesity. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1791(2). 85–91. 133 indexed citations
15.
Flowers, Matthew T. & James M. Ntambi. (2008). Role of stearoyl-coenzyme A desaturase in regulating lipid metabolism. Current Opinion in Lipidology. 19(3). 248–256. 342 indexed citations
16.
Miyazaki, Makoto, Matthew T. Flowers, Harini Sampath, et al.. (2007). Hepatic Stearoyl-CoA Desaturase-1 Deficiency Protects Mice from Carbohydrate-Induced Adiposity and Hepatic Steatosis. Cell Metabolism. 6(6). 484–496. 341 indexed citations
17.
Clee, Susanne M., Brian S. Yandell, Mary E. Rabaglia, et al.. (2006). Positional cloning of Sorcs1, a type 2 diabetes quantitative trait locus. Nature Genetics. 38(6). 688–693. 133 indexed citations
18.
Flowers, Matthew T., Albert K. Groen, Angie T. Oler, et al.. (2006). Cholestasis and hypercholesterolemia in SCD1-deficient mice fed a low-fat, high-carbohydrate diet. Journal of Lipid Research. 47(12). 2668–2680. 58 indexed citations
19.
Chen, Meng, Brian S. Yandell, Donald S. Stapleton, et al.. (2005). Combined Expression Trait Correlations and Expression Quantitative Trait Locus Mapping. PLoS Genetics. preprint(2005). e6–e6. 6 indexed citations
20.
Zhou, Guoli, et al.. (2004). Metabolic fate of [14C]-labeled meal protein amino acids in Aedes aegypti mosquitoes. Journal of Insect Physiology. 50(4). 337–349. 92 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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