Deborah M. Muoio

21.4k total citations · 6 hit papers
133 papers, 16.1k citations indexed

About

Deborah M. Muoio is a scholar working on Physiology, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Deborah M. Muoio has authored 133 papers receiving a total of 16.1k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Physiology, 85 papers in Molecular Biology and 23 papers in Clinical Biochemistry. Recurrent topics in Deborah M. Muoio's work include Adipose Tissue and Metabolism (73 papers), Mitochondrial Function and Pathology (37 papers) and Diet and metabolism studies (34 papers). Deborah M. Muoio is often cited by papers focused on Adipose Tissue and Metabolism (73 papers), Mitochondrial Function and Pathology (37 papers) and Diet and metabolism studies (34 papers). Deborah M. Muoio collaborates with scholars based in United States, Canada and Netherlands. Deborah M. Muoio's co-authors include Christopher B. Newgard, Timothy R. Koves, Olga Ilkayeva, Rosalind Coleman, Robert D. Stevens, G. Lynis Dohm, Robert C. Noland, Dorothy H. Slentz, James R. Bain and John R. Ussher and has published in prestigious journals such as New England Journal of Medicine, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Deborah M. Muoio

131 papers receiving 15.8k citations

Hit Papers

Mitochondrial Overload and Incomplete Fatty Acid Oxidatio... 2000 2026 2008 2017 2008 2008 2000 2016 2020 500 1000 1.5k

Peers

Deborah M. Muoio
James R. Bain United States
Brian N. Finck United States
Nada A. Abumrad United States
Jean E. Schaffer United States
Matthew J. Watt Australia
Zhidan Wu United States
Scott A. Summers United States
Lawrence J. Mandarino United States
James R. Bain United States
Deborah M. Muoio
Citations per year, relative to Deborah M. Muoio Deborah M. Muoio (= 1×) peers James R. Bain

Countries citing papers authored by Deborah M. Muoio

Since Specialization
Citations

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

Fields of papers citing papers by Deborah M. Muoio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deborah M. Muoio. 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 Deborah M. Muoio. The network helps show where Deborah M. Muoio may publish in the future.

Co-authorship network of co-authors of Deborah M. Muoio

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah M. Muoio. A scholar is included among the top collaborators of Deborah M. Muoio 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 Deborah M. Muoio. Deborah M. Muoio 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.
Stagg, David B., Scott B. Crown, D. André d’Avignon, et al.. (2025). Ketogenesis mitigates metabolic dysfunction–associated steatotic liver disease through mechanisms that extend beyond fat oxidation. Journal of Clinical Investigation. 135(12). 1 indexed citations
2.
Zierath, Juleen R., Jolanda van der Velden, Ali Javaheri, et al.. (2024). Translating metabolic and cardiovascular research into effective treatments: What’s next?. Cell. 187(15). 3880–3884. 1 indexed citations
3.
Williams, Ashley S., Scott B. Crown, Timothy R. Koves, et al.. (2024). Ketone flux through BDH1 supports metabolic remodeling of skeletal and cardiac muscles in response to intermittent time-restricted feeding. Cell Metabolism. 36(2). 422–437.e8. 17 indexed citations
4.
Yamamoto, Tsunehisa, Santosh K. Maurya, Kirill Batmanov, et al.. (2023). RIP140 deficiency enhances cardiac fuel metabolism and protects mice from heart failure. Journal of Clinical Investigation. 133(9). 8 indexed citations
5.
Wilson, Rebecca J., et al.. (2022). Proteomics and phosphoproteomics datasets of a muscle-specific STIM1 loss-of-function mouse model. Data in Brief. 42. 108051–108051. 3 indexed citations
6.
Gemmink, Anne, Marlies de Ligt, Esther Kornips, et al.. (2022). Effects of SGLT2 inhibitor dapagliflozin in patients with type 2 diabetes on skeletal muscle cellular metabolism. Molecular Metabolism. 66. 101620–101620. 28 indexed citations
7.
Lindeboom, Lucas, Lotte Grevendonk, Joris Hoeks, et al.. (2022). Skeletal muscle mitochondrial inertia is associated with carnitine acetyltransferase activity and physical function in humans. JCI Insight. 8(1). 8 indexed citations
8.
Liang, Chao, Shan Zhang, Rebecca J. Wilson, et al.. (2022). Mitochondrial microproteins link metabolic cues to respiratory chain biogenesis. Cell Reports. 40(7). 111204–111204. 26 indexed citations
9.
Zhang, Hengtao, Chaojian Wang, Jaclyn P. Kerr, et al.. (2021). Desmin interacts with STIM1 and coordinates Ca2+ signaling in skeletal muscle. JCI Insight. 6(17). 15 indexed citations
10.
Chambers, Kari T., Michael A. Cooper, Rita T. Brookheart, et al.. (2021). Myocardial Lipin 1 knockout in mice approximates cardiac effects of human LPIN1 mutations. JCI Insight. 6(9). 13 indexed citations
11.
Davidson, Michael T., Paul A. Grimsrud, Ling‐Ping Lai, et al.. (2020). Extreme Acetylation of the Cardiac Mitochondrial Proteome Does Not Promote Heart Failure. Circulation Research. 127(8). 1094–1108. 55 indexed citations
12.
Haldeman, Jonathan M., Amanda E. Conway, Michelle Arlotto, et al.. (2018). Creation of versatile cloning platforms for transgene expression and dCas9-based epigenome editing. Nucleic Acids Research. 47(4). e23–e23. 23 indexed citations
13.
Aubert, Grégory, Ola J. Martin, Julie L. Horton, et al.. (2016). The Failing Heart Relies on Ketone Bodies as a Fuel. Circulation. 133(8). 698–705. 549 indexed citations breakdown →
14.
Keenan, Melissa M., Beiyu Liu, Xiaohu Tang, et al.. (2015). ACLY and ACC1 Regulate Hypoxia-Induced Apoptosis by Modulating ETV4 via α-ketoglutarate. PLoS Genetics. 11(10). e1005599–e1005599. 40 indexed citations
15.
Seiler, Sarah E., Ola J. Martin, Robert C. Noland, et al.. (2014). Obesity and lipid stress inhibit carnitine acetyltransferase activity. Journal of Lipid Research. 55(4). 635–644. 84 indexed citations
16.
Kien, C. Lawrence, Janice Y. Bunn, Robert Stevens, et al.. (2014). Dietary intake of palmitate and oleate has broad impact on systemic and tissue lipid profiles in humans. American Journal of Clinical Nutrition. 99(3). 436–445. 78 indexed citations
17.
Zhu, Jiang, Mazhar Adli, James Zou, et al.. (2013). Genome-wide Chromatin State Transitions Associated with Developmental and Environmental Cues. Cell. 152(3). 642–654. 380 indexed citations
18.
Kien, C. Lawrence, et al.. (2010). Short‐Term Effects of Dietary Fatty Acids on Muscle Lipid Composition and Serum Acylcarnitine Profile in Human Subjects. Obesity. 19(2). 305–311. 46 indexed citations
19.
Koves, Timothy R., John R. Ussher, Robert C. Noland, et al.. (2008). Mitochondrial Overload and Incomplete Fatty Acid Oxidation Contribute to Skeletal Muscle Insulin Resistance. Cell Metabolism. 7(1). 45–56. 1551 indexed citations breakdown →
20.
Makowski, Liza, Robert C. Noland, Timothy R. Koves, et al.. (2008). Metabolic profiling of PPARα −/− mice reveals defects in carnitine and amino acid homeostasis that are partially reversed by oral carnitine supplementation. The FASEB Journal. 23(2). 586–604. 93 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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