Lindsey C. Peed

851 total citations
8 papers, 630 citations indexed

About

Lindsey C. Peed is a scholar working on Physiology, Endocrine and Autonomic Systems and Epidemiology. According to data from OpenAlex, Lindsey C. Peed has authored 8 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 4 papers in Endocrine and Autonomic Systems and 3 papers in Epidemiology. Recurrent topics in Lindsey C. Peed's work include Adipose Tissue and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Circadian rhythm and melatonin (3 papers). Lindsey C. Peed is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Circadian rhythm and melatonin (3 papers). Lindsey C. Peed collaborates with scholars based in United States, Australia and Denmark. Lindsey C. Peed's co-authors include Mitchell A. Lazar, Shannon E. Mullican, Fenfen Wang, Joanna R. DiSpirito, Marine Adlanmérini, Jennifer Jager, Hannah J. Richter, Takuya Tomaru, Kyoung‐Jae Won and David J. Steger 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

Lindsey C. Peed

8 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lindsey C. Peed United States	8	389	276	184	133	61	8	630
Olof Dallner United States	9	390 1.0×	272 1.0×	227 1.2×	110 0.8×	75 1.2×	11	697
Jessica C. Hogan United States	8	417 1.1×	252 0.9×	268 1.5×	71 0.5×	46 0.8×	8	729
Svetlana Altshuler-Keylin United States	8	411 1.1×	263 1.0×	307 1.7×	50 0.4×	47 0.8×	9	691
Brian A. Dawes United States	5	359 0.9×	176 0.6×	166 0.9×	75 0.6×	29 0.5×	8	553
Adam Spong United States	11	468 1.2×	250 0.9×	102 0.6×	84 0.6×	51 0.8×	15	766
Beate Enigk Germany	14	182 0.5×	256 0.9×	152 0.8×	60 0.5×	34 0.6×	15	556
Ann-Britt Marcher Denmark	11	283 0.7×	211 0.8×	223 1.2×	23 0.2×	38 0.6×	13	565
G. Shillabeer Canada	16	373 1.0×	281 1.0×	206 1.1×	122 0.9×	31 0.5×	21	720
Michael P. Franczyk United States	10	304 0.8×	190 0.7×	166 0.9×	35 0.3×	32 0.5×	12	669
Nelson H. Knudsen United States	6	300 0.8×	197 0.7×	81 0.4×	281 2.1×	32 0.5×	9	588

Countries citing papers authored by Lindsey C. Peed

Since Specialization

Citations

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

Fields of papers citing papers by Lindsey C. Peed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lindsey C. Peed. 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 Lindsey C. Peed. The network helps show where Lindsey C. Peed may publish in the future.

Co-authorship network of co-authors of Lindsey C. Peed

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

All Works

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8 of 8 papers shown

Adlanmérini, Marine, Hoang C.B. Nguyen, Clare W. Teng, et al.. (2021). REV-ERB nuclear receptors in the suprachiasmatic nucleus control circadian period and restrict diet-induced obesity. Science Advances. 7(44). eabh2007–eabh2007. 25 indexed citations

Adlanmérini, Marine, Hoang C.B. Nguyen, Clare W. Teng, et al.. (2020). Hypothalamic REV-ERB nuclear receptors control diurnal food intake and leptin sensitivity in diet-induced obese mice. Journal of Clinical Investigation. 131(1). 36 indexed citations

Adlanmérini, Marine, Jarrett R. Remsberg, Yann Aubert, et al.. (2019). Circadian lipid synthesis in brown fat maintains murine body temperature during chronic cold. Proceedings of the National Academy of Sciences. 116(37). 18691–18699. 49 indexed citations

Zhang, Yuxiang, Romeo Papazyan, Manashree Damle, et al.. (2017). The hepatic circadian clock fine-tunes the lipogenic response to feeding through RORα/γ. Genes & Development. 31(12). 1202–1211. 55 indexed citations

Emmett, Matthew J., Hee‐Woong Lim, Jennifer Jager, et al.. (2017). Histone deacetylase 3 prepares brown adipose tissue for acute thermogenic challenge. Nature. 546(7659). 544–548. 142 indexed citations

Jager, Jennifer, Fenfen Wang, Bin Fang, et al.. (2016). The Nuclear Receptor Rev-erbα Regulates Adipose Tissue-specific FGF21 Signaling. Journal of Biological Chemistry. 291(20). 10867–10875. 28 indexed citations

Wang, Fenfen, Shannon E. Mullican, Joanna R. DiSpirito, Lindsey C. Peed, & Mitchell A. Lazar. (2013). Lipoatrophy and severe metabolic disturbance in mice with fat-specific deletion of PPARγ. Proceedings of the National Academy of Sciences. 110(46). 18656–18661. 216 indexed citations

Mullican, Shannon E., et al.. (2012). A Novel Adipose-Specific Gene Deletion Model Demonstrates Potential Pitfalls of Existing Methods. Molecular Endocrinology. 27(1). 127–134. 79 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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