Liam C. Hunt

914 citations
25 papers · 588 · h-index 17

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Exercise and Physiological Responses

Papers in

Liam C. Hunt

23 papers receiving 584 citations

Peers

Liam C. Hunt
Comparison fields: 5 of 78
  • Aging 64
  • Rehabilitation 65
  • Cell Biology 125
  • Physiology 158
  • Molecular Biology 415
Replace Lucy Xu with:
Lucy Xu United States
John K. Eash United States
Huibin Tang United States
Massimo Ganassi United Kingdom
Flávia A. Graça United States
Aurore L’honoré France
T. Hata Japan
Benjamin D. Canan United States
Jesse M. Flynn United States
R.N. Cooper France
Liam C. Hunt relative to Lucy Xu United States Lucy Xu's profile →
Citations per field
00.5×4.7×
Lucy Xu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Liam C. Hunt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liam C. Hunt Line = papers co-authored together Liam C. Hunt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201174
2 201951
3 202149
4 202141
5 201540
6 201235
7 201928
8 201627
9 200927
10 201325
11 201324
12 202124
13 201922
14 202218
15 201118
16 201917
17 202117
18 202415
19 202314
20 202110

About Liam C. Hunt

Liam C. Hunt is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Oncology and Cell Biology, having authored 25 papers that have together received 588 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (7 papers), Cytokine Signaling Pathways and Interactions (5 papers), Ubiquitin and proteasome pathways (5 papers), Adipose Tissue and Metabolism (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Exercise and Physiological Responses (4 papers), Autophagy in Disease and Therapy (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Aging (64 citations), Rehabilitation (65 citations), Cell Biology (125 citations), Physiology (158 citations) and Molecular Biology (415 citations). Liam C. Hunt has collaborated with scholars based in United States, Australia and Canada. Frequent 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. Their work appears in journals such as Nature Communications, Cell Reports, Journal of Biological Chemistry, PLoS Currents and Advances in experimental medicine and biology.

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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