Curtis J. Bare

688 total citations
8 papers, 342 citations indexed

About

Curtis J. Bare is a scholar working on Physiology, Molecular Biology and Biochemistry. According to data from OpenAlex, Curtis J. Bare has authored 8 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 4 papers in Molecular Biology and 3 papers in Biochemistry. Recurrent topics in Curtis J. Bare's work include Adipose Tissue and Metabolism (5 papers), Lipid metabolism and biosynthesis (3 papers) and Fibroblast Growth Factor Research (2 papers). Curtis J. Bare is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Lipid metabolism and biosynthesis (3 papers) and Fibroblast Growth Factor Research (2 papers). Curtis J. Bare collaborates with scholars based in United States, Netherlands and South Korea. Curtis J. Bare's co-authors include Alexander S. Banks, Edward T. Chouchani, Mark P. Jedrychowski, Amir I. Mina, Evan D. Rosen, David E. Cohen, Gina Z. Lu, Manju Kumari, Dina Laznik-Bogoslavski and Petras P. Dzeja and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Hepatology.

In The Last Decade

Curtis J. Bare

7 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Curtis J. Bare United States 7 246 125 108 66 45 8 342
Anna Roesler Canada 6 251 1.0× 120 1.0× 101 0.9× 67 1.0× 49 1.1× 8 364
Gisela Geoghegan United States 3 187 0.8× 117 0.9× 67 0.6× 37 0.6× 31 0.7× 4 289
Zachary Johnson United States 7 301 1.2× 94 0.8× 146 1.4× 62 0.9× 77 1.7× 9 435
Tinglu Ning China 5 164 0.7× 72 0.6× 80 0.7× 32 0.5× 31 0.7× 5 228
Jordan M. Johnson United States 11 216 0.9× 232 1.9× 67 0.6× 52 0.8× 39 0.9× 15 375
Hasiyet Memetimin United States 9 326 1.3× 105 0.8× 162 1.5× 61 0.9× 81 1.8× 14 460
Anthony R.P. Verkerke United States 13 215 0.9× 205 1.6× 67 0.6× 59 0.9× 47 1.0× 17 376
Theresa Schöttl Germany 7 315 1.3× 176 1.4× 174 1.6× 73 1.1× 36 0.8× 8 464
I Jelok Slovakia 2 312 1.3× 87 0.7× 112 1.0× 76 1.2× 100 2.2× 2 353
Ayumi Tsubota Japan 10 282 1.1× 56 0.4× 147 1.4× 37 0.6× 75 1.7× 16 323

Countries citing papers authored by Curtis J. Bare

Since Specialization
Citations

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

Fields of papers citing papers by Curtis J. Bare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Curtis J. Bare. 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 Curtis J. Bare. The network helps show where Curtis J. Bare may publish in the future.

Co-authorship network of co-authors of Curtis J. Bare

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

All Works

8 of 8 papers shown
1.
Xu, Xu, Arturo Mendoza, Christopher S. Krumm, et al.. (2024). ChREBP-mediated up-regulation of Them1 coordinates thermogenesis with glycolysis and lipogenesis in response to chronic stress. Science Signaling. 17(865). eadk7971–eadk7971.
2.
Dantas, Ezequiel, Shakti Ramsamooj, Elizabeth R. M. Zunica, et al.. (2022). Blocking ActRIIB and restoring appetite reverses cachexia and improves survival in mice with lung cancer. Nature Communications. 13(1). 4633–4633. 34 indexed citations
3.
Krumm, Christopher S., Xu Xu, Curtis J. Bare, et al.. (2021). Inducible hepatic expression of CREBH mitigates diet-induced obesity, insulin resistance, and hepatic steatosis in mice. Journal of Biological Chemistry. 297(1). 100815–100815. 8 indexed citations
4.
Krisko, Tibor I., Hayley T. Nicholls, Curtis J. Bare, et al.. (2020). Dissociation of Adaptive Thermogenesis from Glucose Homeostasis in Microbiome-Deficient Mice. Cell Metabolism. 31(3). 592–604.e9. 55 indexed citations
5.
Holman, Corey D., et al.. (2019). Knockout of the X‐linked Fgf13 in the hypothalamic paraventricular nucleus impairs sympathetic output to brown fat and causes obesity. The FASEB Journal. 33(10). 11579–11594. 9 indexed citations
6.
Xu, Xu, Christopher S. Krumm, Jae‐Seon So, et al.. (2018). Preemptive Activation of the Integrated Stress Response Protects Mice From Diet‐Induced Obesity and Insulin Resistance by Fibroblast Growth Factor 21 Induction. Hepatology. 68(6). 2167–2181. 27 indexed citations
7.
Desai, Anal, Michele Alves‐Bezerra, Yingxia Li, et al.. (2017). Regulation of fatty acid trafficking in liver by thioesterase superfamily member 1. Journal of Lipid Research. 59(2). 368–379. 8 indexed citations
8.
Kazak, Lawrence, Edward T. Chouchani, Gina Z. Lu, et al.. (2017). Genetic Depletion of Adipocyte Creatine Metabolism Inhibits Diet-Induced Thermogenesis and Drives Obesity. Cell Metabolism. 26(4). 660–671.e3. 201 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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