Bárbara Crisol
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Mitochondrial Function and Pathology 5
- PI3K/AKT/mTOR signaling in cancer 3
- Muscle Physiology and Disorders 3
- Physiology 14
- Adipose Tissue and Metabolism 12
- Co-authors
- Adelino Sánchez Ramos da Silva (15 shared papers)José Rodrigo Pauli (16 shared papers)Eduardo R. Ropelle (15 shared papers)Dennys E. Cintra (16 shared papers)Leandro Pereira de Moura (13 shared papers)Luciene Lenhare (7 shared papers)Vagner Ramon Rodrigues Silva (4 shared papers)Carlos K. Katashima (5 shared papers)
- Journals
- Molecular Metabolism (2 papers)Life Sciences (2 papers)eLife (2 papers)Experimental Gerontology (2 papers)GeroScience (1 paper)
- Partner nations
- BrazilSwitzerlandAustralia
In The Last Decade
Bárbara Crisol
21 papers receiving 367 citations
Peers
Comparison fields: 5 of 61
- Geriatrics and Gerontology 56
- Aging 18
- Physiology 200
- Rehabilitation 36
- Cell Biology 77
Countries citing papers authored by Bárbara Crisol
This map shows the geographic impact of Bárbara Crisol'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 Bárbara Crisol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bárbara Crisol more than expected).
Fields of papers citing papers by Bárbara Crisol
This network shows the impact of papers produced by Bárbara Crisol. 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 Bárbara Crisol. The network helps show where Bárbara Crisol may publish in the future.
Co-authors
The 25 scholars most cited alongside Bárbara Crisol, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 59 | |
| 2 | 2020 | 47 | |
| 3 | 2020 | 33 | |
| 4 | 2017 | 29 | |
| 5 | 2022 | 28 | |
| 6 | 2017 | 28 | |
| 7 | 2018 | 28 | |
| 8 | 2019 | 22 | |
| 9 | 2021 | 22 | |
| 10 | 2017 | 18 | |
| 11 | 2020 | 14 | |
| 12 | 2024 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2017 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 1 |
About Bárbara Crisol
Bárbara Crisol is a scholar working on Molecular Biology, Physiology, Epidemiology, Cell Biology and Rehabilitation, having authored 21 papers that have together received 368 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Mitochondrial Function and Pathology (5 papers), Autophagy in Disease and Therapy (5 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Exercise and Physiological Responses (3 papers), Muscle metabolism and nutrition (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Geriatrics and Gerontology (56 citations), Aging (18 citations), Physiology (200 citations), Rehabilitation (36 citations) and Cell Biology (77 citations). Bárbara Crisol has collaborated with scholars based in Brazil, Switzerland and Australia. Frequent co-authors include Adelino Sánchez Ramos da Silva, José Rodrigo Pauli, Eduardo R. Ropelle, Dennys E. Cintra, Leandro Pereira de Moura, Luciene Lenhare, Vagner Ramon Rodrigues Silva, Carlos K. Katashima, Vítor Rosetto Muñoz and Rafael Calais Gaspar. Their work appears in journals such as Molecular Metabolism, Life Sciences, eLife, Experimental Gerontology and GeroScience.
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.