Daniel Cabrera
- Hepatology top 2%
- Liver Disease and Transplantation 8
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment 28
- Cell Biology top 2%
- Muscle metabolism and nutrition 10
- Physiology top 2%
- Nutrition and Health in Aging 13
- Adipose Tissue and Metabolism 11
- Rehabilitation top 2%
-
- Muscle Physiology and Disorders 22
- Connective Tissue Growth Factor Research 7
-
- Diet, Metabolism, and Disease 9
- Co-authors
- Marco ArreseAriel E. FeldsteinClaudio Cabello‐VerrugioSusanne SchusterEnrique BrandanFelipe SimónMaría Gabriela MoralesAlexis M. Kalergis
- Cited by
- HepatologyEpidemiologyCell Biology
- Journals
- Current Protein and Peptide Science (4 papers)Skeletal Muscle (3 papers)Oxidative Medicine and Cellular Longevity (3 papers)
- Partner nations
- ChileUnited StatesNetherlands
In The Last Decade
Daniel Cabrera
69 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Hepatology 454
- Epidemiology 1.4k
- Cell Biology 582
- Physiology 923
- Rehabilitation 225
Countries citing papers authored by Daniel Cabrera
This map shows the geographic impact of Daniel Cabrera'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 Daniel Cabrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Cabrera more than expected).
Fields of papers citing papers by Daniel Cabrera
This network shows the impact of papers produced by Daniel Cabrera. 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 Daniel Cabrera. The network helps show where Daniel Cabrera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Cabrera, 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 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 44 | |
| 12 | 2020 | 0 | |
| 13 | 2020 | 19 | |
| 14 | 2020 | 18 | |
| 15 | 2019 | 7 | |
| 16 | 2019 | 104 | |
| 17 | 2018 | 173 | |
| 18 | 2018 | 23 | |
| 19 | 2018 | 25 | |
| 20 | 2016 | 90 |
About Daniel Cabrera
Daniel Cabrera is a scholar working on Hepatology, Physiology, Cell Biology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 72 papers that have together received 3.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (28 papers), Muscle Physiology and Disorders (22 papers), Nutrition and Health in Aging (13 papers), Adipose Tissue and Metabolism (11 papers), Muscle metabolism and nutrition (10 papers), Diet, Metabolism, and Disease (9 papers), Liver Disease and Transplantation (8 papers) and Connective Tissue Growth Factor Research (7 papers). The work is most often cited by research in Hepatology (454 citations), Epidemiology (1.4k citations), Cell Biology (582 citations), Physiology (923 citations) and Rehabilitation (225 citations). Daniel Cabrera has collaborated with scholars based in Chile, United States and Netherlands. Frequent co-authors include Marco Arrese, Ariel E. Feldstein, Claudio Cabello‐Verrugio, Susanne Schuster, Enrique Brandan, Felipe Simón, María Gabriela Morales, Alexis M. Kalergis, Johanna Ábrigo and Juan Pablo Arab. Their work appears in journals such as Current Protein and Peptide Science, Skeletal Muscle, Oxidative Medicine and Cellular Longevity, Human Molecular Genetics and Antioxidants.
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.