Claudio Cabello‐Verrugio
- Rehabilitation top 1%
- Cell Biology top 2%
- Muscle metabolism and nutrition 20
- Physiology top 2%
- Adipose Tissue and Metabolism 20
- Nutrition and Health in Aging 18
- Molecular Biology top 5%
- Muscle Physiology and Disorders 41
- Connective Tissue Growth Factor Research 9
- TGF-β signaling in diseases 8
- Sensory Systems top 5%
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- Genetics and Physical Performance 10
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- Liver Disease Diagnosis and Treatment 10
- Co-authors
- Felipe SimónEnrique BrandanDaniel CabreraMaría Gabriela MoralesJohanna ÁbrigoCésar EcheverríaClaudia A. RiedelJuan Carlos Aristizábal Rivera
- Cited by
- RehabilitationCell BiologyPhysiology
- Partner nations
- ChileUnited StatesSpain
In The Last Decade
Claudio Cabello‐Verrugio
109 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 117
- Rehabilitation 302
- Cell Biology 713
- Physiology 1.1k
- Molecular Biology 2.2k
- Sensory Systems 128
Countries citing papers authored by Claudio Cabello‐Verrugio
This map shows the geographic impact of Claudio Cabello‐Verrugio'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 Claudio Cabello‐Verrugio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio Cabello‐Verrugio more than expected).
Fields of papers citing papers by Claudio Cabello‐Verrugio
This network shows the impact of papers produced by Claudio Cabello‐Verrugio. 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 Claudio Cabello‐Verrugio. The network helps show where Claudio Cabello‐Verrugio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Claudio Cabello‐Verrugio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 44 | |
| 11 | 2021 | 12 | |
| 12 | 2019 | 44 | |
| 13 | 2019 | 44 | |
| 14 | 2018 | 173 | |
| 15 | 2018 | 23 | |
| 16 | 2016 | 90 | |
| 17 | 2016 | 162 | |
| 18 | 2014 | 31 | |
| 19 | 2012 | 70 | |
| 20 | 2007 | 112 |
About Claudio Cabello‐Verrugio
Claudio Cabello‐Verrugio is a scholar working on Cell Biology, Physiology and Sensory Systems, having authored 113 papers that have together received 4.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (41 papers), Muscle metabolism and nutrition (20 papers), Adipose Tissue and Metabolism (20 papers), Nutrition and Health in Aging (18 papers), Genetics and Physical Performance (10 papers), Liver Disease Diagnosis and Treatment (10 papers), Connective Tissue Growth Factor Research (9 papers) and TGF-β signaling in diseases (8 papers). The work is most often cited by research in Rehabilitation (302 citations), Cell Biology (713 citations) and Physiology (1.1k citations). Claudio Cabello‐Verrugio has collaborated with scholars based in Chile, United States and Spain. Frequent co-authors include Felipe Simón, Enrique Brandan, Daniel Cabrera, María Gabriela Morales, Johanna Ábrigo, César Echeverría, Claudia A. Riedel, Juan Carlos Aristizábal Rivera, Cristián Vilos and María José Acuña. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.
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.