Liam C. Hunt

914 total citations
25 papers, 588 citations indexed

About

Liam C. Hunt is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Liam C. Hunt has authored 25 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Physiology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Liam C. Hunt's work include Muscle Physiology and Disorders (7 papers), Ubiquitin and proteasome pathways (5 papers) and Cytokine Signaling Pathways and Interactions (5 papers). Liam C. Hunt is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Ubiquitin and proteasome pathways (5 papers) and Cytokine Signaling Pathways and Interactions (5 papers). Liam C. Hunt collaborates with scholars based in United States, Australia and Canada. Liam C. Hunt's co-authors include Fabio Demontis, Jason D. White, Elizabeth M. Tudor, Yiping Fan, Jalal A. Jazayeri, Junmin Peng, David Finkelstein, Vishwajeeth Pagala, Yong‐Dong Wang and Flávia A. Graça and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Genes & Development.

In The Last Decade

Liam C. Hunt

23 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liam C. Hunt United States 17 415 158 125 79 73 25 588
John K. Eash United States 8 432 1.0× 181 1.1× 173 1.4× 49 0.6× 57 0.8× 9 603
Massimo Ganassi United Kingdom 13 702 1.7× 108 0.7× 172 1.4× 81 1.0× 66 0.9× 19 854
Huibin Tang United States 15 541 1.3× 101 0.6× 98 0.8× 129 1.6× 71 1.0× 23 812
Virginie Jacquemin France 9 521 1.3× 148 0.9× 87 0.7× 138 1.7× 21 0.3× 11 611
R.N. Cooper France 11 827 2.0× 238 1.5× 107 0.9× 79 1.0× 32 0.4× 11 953
Jesse M. Flynn United States 9 620 1.5× 174 1.1× 82 0.7× 77 1.0× 35 0.5× 9 734
Sabrina Batonnet‐Pichon France 12 636 1.5× 183 1.2× 276 2.2× 98 1.2× 58 0.8× 19 774
Philip A. Krasney United States 9 448 1.1× 160 1.0× 148 1.2× 59 0.7× 46 0.6× 13 729
Alexandre Briguet Switzerland 11 539 1.3× 142 0.9× 120 1.0× 120 1.5× 25 0.3× 13 658
Flávia A. Graça United States 11 277 0.7× 154 1.0× 82 0.7× 42 0.5× 50 0.7× 20 418

Countries citing papers authored by Liam C. Hunt

Since Specialization
Citations

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

Fields of papers citing papers by Liam C. Hunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liam C. Hunt

This figure shows the co-authorship network connecting the top 25 collaborators of Liam C. Hunt. A scholar is included among the top collaborators of Liam C. Hunt 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 Liam C. Hunt. Liam C. Hunt 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.
2.
Hunt, Liam C., Suresh Poudel, Kaiwen Yu, et al.. (2025). Proteome solubility is differentially reshaped by thermal stress and regulators of ubiquitination. Journal of Biological Chemistry. 301(9). 110517–110517.
3.
Rai, Mamta, Liam C. Hunt, & Fabio Demontis. (2025). Stress responses induced by perturbation of the ubiquitin–proteasome system. Trends in Biochemical Sciences. 50(3). 175–178. 4 indexed citations
4.
Gutierrez‐Monreal, Miguel A., Christopher A. Wolff, Collin M. Douglas, et al.. (2024). Targeted Bmal1 restoration in muscle prolongs lifespan with systemic health effects in aging model. JCI Insight. 9(22). 15 indexed citations
5.
Hunt, Liam C., Vishwajeeth Pagala, Boer Xie, et al.. (2023). An adaptive stress response that confers cellular resilience to decreased ubiquitination. Nature Communications. 14(1). 7348–7348. 14 indexed citations
6.
Graça, Flávia A., Mamta Rai, Liam C. Hunt, et al.. (2022). The myokine Fibcd1 is an endogenous determinant of myofiber size and mitigates cancer-induced myofiber atrophy. Nature Communications. 13(1). 2370–2370. 18 indexed citations
7.
Graça, Flávia A., et al.. (2022). Electroporation of Small Interfering RNAs into Tibialis Anterior Muscles of Mice. BIO-PROTOCOL. 12(11). 2 indexed citations
8.
Graça, Flávia A., et al.. (2021). A large-scale transgenic RNAi screen identifies transcription factors that modulate myofiber size in Drosophila. PLoS Genetics. 17(11). e1009926–e1009926. 10 indexed citations
9.
Rai, Mamta, Anjana Nityanandam, Jianqin Jiao, et al.. (2021). Analysis of proteostasis during aging with western blot of detergent-soluble and insoluble protein fractions. STAR Protocols. 2(3). 100628–100628. 24 indexed citations
10.
Hunt, Liam C., Vishwajeeth Pagala, Yong‐Dong Wang, et al.. (2021). Antagonistic control of myofiber size and muscle protein quality control by the ubiquitin ligase UBR4 during aging. Nature Communications. 12(1). 1418–1418. 41 indexed citations
11.
Hunt, Liam C., Flávia A. Graça, Vishwajeeth Pagala, et al.. (2021). Integrated genomic and proteomic analyses identify stimulus-dependent molecular changes associated with distinct modes of skeletal muscle atrophy. Cell Reports. 37(6). 109971–109971. 49 indexed citations
12.
Hunt, Liam C., Jianqin Jiao, Yong‐Dong Wang, et al.. (2019). Circadian gene variants and the skeletal muscle circadian clock contribute to the evolutionary divergence in longevity across Drosophila populations. Genome Research. 29(8). 1262–1276. 28 indexed citations
13.
Hunt, Liam C., Timothy I. Shaw, Yuxin Li, et al.. (2019). A Key Role for the Ubiquitin Ligase UBR4 in Myofiber Hypertrophy in Drosophila and Mice. Cell Reports. 28(5). 1268–1281.e6. 51 indexed citations
14.
Hunt, Liam C. & Jason D. White. (2016). The Role of Leukemia Inhibitory Factor Receptor Signaling in Skeletal Muscle Growth, Injury and Disease. Advances in experimental medicine and biology. 900. 45–59. 27 indexed citations
15.
Hunt, Liam C., Beisi Xu, David Finkelstein, et al.. (2015). The glucose-sensing transcription factor MLX promotes myogenesis via myokine signaling. Genes & Development. 29(23). 2475–2489. 40 indexed citations
16.
Hunt, Liam C. & Fabio Demontis. (2013). Whole-mount immunostaining of Drosophila skeletal muscle. Nature Protocols. 8(12). 2496–2501. 25 indexed citations
17.
Hunt, Liam C., et al.. (2013). Hyaluronan Synthesis and Myogenesis. Journal of Biological Chemistry. 288(18). 13006–13021. 24 indexed citations
18.
19.
Hunt, Liam C., et al.. (2011). Alterations in the expression of leukemia inhibitory factor following exercise: comparisons between wild-type and mdx muscles. PLoS Currents. 3. RRN1277–RRN1277. 18 indexed citations
20.
Hunt, Liam C., Elizabeth M. Tudor, & Jason D. White. (2009). Leukemia inhibitory factor-dependent increase in myoblast cell number is associated with phosphotidylinositol 3-kinase-mediated inhibition of apoptosis and not mitosis. Experimental Cell Research. 316(6). 1002–1009. 27 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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