Lauren E. McGrath

744 total citations
16 papers, 599 citations indexed

About

Lauren E. McGrath is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Lauren E. McGrath has authored 16 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrine and Autonomic Systems, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Lauren E. McGrath's work include Regulation of Appetite and Obesity (9 papers), Neuropeptides and Animal Physiology (6 papers) and Diabetes Treatment and Management (4 papers). Lauren E. McGrath is often cited by papers focused on Regulation of Appetite and Obesity (9 papers), Neuropeptides and Animal Physiology (6 papers) and Diabetes Treatment and Management (4 papers). Lauren E. McGrath collaborates with scholars based in United States, Belgium and Canada. Lauren E. McGrath's co-authors include Matthew R. Hayes, Elizabeth G. Mietlicki‐Baase, David J. Reiner, Kieran Koch‐Laskowski, Derek J. Zimmer, Diana R. Olivos, Joanna Krawczyk, Scott E. Kanoski, Jackson J. Cone and Xing Chen and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Lauren E. McGrath

16 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lauren E. McGrath United States 12 265 167 167 164 154 16 599
Michael H. Shannon United States 11 114 0.4× 203 1.2× 88 0.5× 167 1.0× 173 1.1× 16 527
Robert A. Del Vecchio United States 10 120 0.5× 227 1.4× 85 0.5× 183 1.1× 169 1.1× 14 522
Laura E. Rupprecht United States 16 133 0.5× 249 1.5× 74 0.4× 316 1.9× 255 1.7× 20 622
Roberto Conti Italy 10 333 1.3× 41 0.2× 92 0.6× 307 1.9× 375 2.4× 17 839
Emanuela Micioni Di Bonaventura Italy 13 122 0.5× 98 0.6× 50 0.3× 105 0.6× 97 0.6× 26 399
Alessia Costa Italy 14 60 0.2× 64 0.4× 52 0.3× 300 1.8× 109 0.7× 26 559
Matthew J. Cato United States 11 163 0.6× 89 0.5× 22 0.1× 246 1.5× 94 0.6× 14 552
G.E. Leighton United Kingdom 12 129 0.5× 494 3.0× 24 0.1× 357 2.2× 276 1.8× 17 715
Yoshihide Nakai Japan 11 188 0.7× 101 0.6× 19 0.1× 74 0.5× 253 1.6× 20 547
Esther M. van der Zwaal Netherlands 11 230 0.9× 71 0.4× 43 0.3× 62 0.4× 197 1.3× 12 412

Countries citing papers authored by Lauren E. McGrath

Since Specialization
Citations

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

Fields of papers citing papers by Lauren E. McGrath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lauren E. McGrath. 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 Lauren E. McGrath. The network helps show where Lauren E. McGrath may publish in the future.

Co-authorship network of co-authors of Lauren E. McGrath

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

All Works

16 of 16 papers shown
1.
McGrath, Lauren E., et al.. (2024). Ventral tegmental area amylin / calcitonin receptor signaling suppresses feeding and weight gain in female rats. Neuroscience Research. 212. 136–139. 1 indexed citations
2.
Stein, Lauren M., Lauren E. McGrath, Kieran Koch‐Laskowski, et al.. (2021). The long-acting amylin/calcitonin receptor agonist ZP5461 suppresses food intake and body weight in male rats. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 321(2). R250–R259. 4 indexed citations
3.
Koch‐Laskowski, Kieran, Evan D. Shaulson, Lauren E. McGrath, et al.. (2019). Combined Amylin/GLP-1 pharmacotherapy to promote and sustain long-lasting weight loss. Scientific Reports. 9(1). 8447–8447. 39 indexed citations
4.
Mietlicki‐Baase, Elizabeth G., Tito Borner, David Reiner‐Link, et al.. (2018). A vitamin B12 conjugate of exendin‐4 improves glucose tolerance without associated nausea or hypophagia in rodents. Diabetes Obesity and Metabolism. 20(5). 1223–1234. 30 indexed citations
5.
Mietlicki‐Baase, Elizabeth G., Lauren E. McGrath, Kieran Koch‐Laskowski, et al.. (2017). Hindbrain DPP-IV inhibition improves glycemic control and promotes negative energy balance. Physiology & Behavior. 173. 9–14. 10 indexed citations
6.
Reiner, David J., Elizabeth G. Mietlicki‐Baase, Diana R. Olivos, et al.. (2017). Amylin Acts in the Lateral Dorsal Tegmental Nucleus to Regulate Energy Balance Through Gamma-Aminobutyric Acid Signaling. Biological Psychiatry. 82(11). 828–838. 42 indexed citations
7.
Mietlicki‐Baase, Elizabeth G., Kieran Koch‐Laskowski, Lauren E. McGrath, et al.. (2017). Daily supplementation of dietary protein improves the metabolic effects of GLP-1-based pharmacotherapy in lean and obese rats. Physiology & Behavior. 177. 122–128. 8 indexed citations
8.
Reiner, David J., Lauren E. McGrath, Kieran Koch‐Laskowski, et al.. (2017). Glucagon-Like Peptide-1 Receptor Signaling in the Lateral Dorsal Tegmental Nucleus Regulates Energy Balance. Neuropsychopharmacology. 43(3). 627–637. 43 indexed citations
9.
Mietlicki‐Baase, Elizabeth G., Lauren E. McGrath, Kieran Koch‐Laskowski, et al.. (2017). Amylin receptor activation in the ventral tegmental area reduces motivated ingestive behavior. Neuropharmacology. 123. 67–79. 49 indexed citations
10.
Chen, Xing, Elizabeth G. Mietlicki‐Baase, Lauren E. McGrath, et al.. (2017). Thioamide Substitution Selectively Modulates Proteolysis and Receptor Activity of Therapeutic Peptide Hormones. Journal of the American Chemical Society. 139(46). 16688–16695. 84 indexed citations
11.
Corwin, Rebecca L., F.H.E. Wojnicki, Derek J. Zimmer, et al.. (2016). Binge‐type eating disrupts dopaminergic and GABAergic signaling in the prefrontal cortex and ventral tegmental area. Obesity. 24(10). 2118–2125. 29 indexed citations
12.
Reiner, David J., Elizabeth G. Mietlicki‐Baase, Lauren E. McGrath, et al.. (2016). Astrocytes Regulate GLP-1 Receptor-Mediated Effects on Energy Balance. Journal of Neuroscience. 36(12). 3531–3540. 112 indexed citations
13.
Mietlicki‐Baase, Elizabeth G., David J. Reiner, Jackson J. Cone, et al.. (2014). Amylin Modulates the Mesolimbic Dopamine System to Control Energy Balance. Neuropsychopharmacology. 40(2). 372–385. 86 indexed citations
14.
Olivos, Diana R., et al.. (2013). Intraduodenal milk protein concentrate augments the glycemic and food intake suppressive effects of DPP-IV inhibition. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 306(3). R157–R163. 12 indexed citations
15.
Rupprecht, Laura E., Elizabeth G. Mietlicki‐Baase, Derek J. Zimmer, et al.. (2013). Hindbrain GLP-1 receptor-mediated suppression of food intake requires a PI3K-dependent decrease in phosphorylation of membrane-bound Akt. American Journal of Physiology-Endocrinology and Metabolism. 305(6). E751–E759. 30 indexed citations
16.
Fraser, Albert D., et al.. (2001). Experience with urine drug testing by the Correctional Service of Canada. Forensic Science International. 121(1-2). 16–22. 20 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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