Bárbara Crisol
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Aging top 10%
Papers in
- Physiology 13
- Adipose Tissue and Metabolism 11
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- Mitochondrial Function and Pathology 4
- PI3K/AKT/mTOR signaling in cancer 3
- Sphingolipid Metabolism and Signaling 2
- Muscle Physiology and Disorders 2
- Co-authors
- Dennys E. Cintra (16 shared papers)José Rodrigo Pauli (16 shared papers)Eduardo R. Ropelle (15 shared papers)Adelino Sánchez Ramos da Silva (15 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
- eLife (2 papers)Experimental Gerontology (2 papers)Molecular Metabolism (2 papers)Life Sciences (2 papers)GeroScience (1 paper)
- Partner nations
- BrazilSwitzerlandAustralia
In The Last Decade
Bárbara Crisol
21 papers receiving 386 citations
Peers
Comparison fields: 5 of 59
- Geriatrics and Gerontology 53
- Aging 19
- Physiology 180
- Rehabilitation 28
- Cell Biology 59
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 | 62 | |
| 2 | 2020 | 48 | |
| 3 | 2020 | 37 | |
| 4 | 2017 | 30 | |
| 5 | 2017 | 30 | |
| 6 | 2022 | 29 | |
| 7 | 2018 | 28 | |
| 8 | 2021 | 24 | |
| 9 | 2019 | 23 | |
| 10 | 2017 | 19 | |
| 11 | 2020 | 14 | |
| 12 | 2023 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2017 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2019 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 1 |
About Bárbara Crisol
Bárbara Crisol is a scholar working on Physiology, Molecular Biology, Epidemiology, Cell Biology and Rehabilitation, having authored 21 papers that have together received 388 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Autophagy in Disease and Therapy (5 papers), Mitochondrial Function and Pathology (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Sphingolipid Metabolism and Signaling (2 papers), Muscle Physiology and Disorders (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Geriatrics and Gerontology (53 citations), Aging (19 citations), Physiology (180 citations), Rehabilitation (28 citations) and Cell Biology (59 citations). Bárbara Crisol has collaborated with scholars based in Brazil, Switzerland and Australia. Frequent co-authors include Dennys E. Cintra, José Rodrigo Pauli, Eduardo R. Ropelle, Adelino Sánchez Ramos da Silva, Leandro Pereira de Moura, Luciene Lenhare, Vagner Ramon Rodrigues Silva, Carlos K. Katashima, Rafael Calais Gaspar and Vítor Rosetto Muñoz. Their work appears in journals such as eLife, Experimental Gerontology, Molecular Metabolism, Life Sciences 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.