Alfredo Criollo
- Aging top 0.5%
- Physiology top 0.2%
- Calcium signaling and nucleotide metabolism 7
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine 6
- Epidemiology top 0.5%
- Autophagy in Disease and Therapy 45
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease 9
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- Cancer-related Molecular Pathways 9
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- Genetic and Kidney Cyst Diseases 8
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- Epigenetics and DNA Methylation 7
- Mitochondrial Function and Pathology 6
- Co-authors
- Guido KroemerMaria Chiara MaiuriEugenia MorselliEzgi TasdemirLorenzo GalluzziSergio LavanderoOliver KeppNektarios Tavernarakis
- Partner nations
- ChileFranceUnited States
In The Last Decade
Alfredo Criollo
75 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Aging 295
- Physiology 700
- Geriatrics and Gerontology 572
- Epidemiology 3.9k
- Cell Biology 1.4k
Countries citing papers authored by Alfredo Criollo
This map shows the geographic impact of Alfredo Criollo'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 Alfredo Criollo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alfredo Criollo more than expected).
Fields of papers citing papers by Alfredo Criollo
This network shows the impact of papers produced by Alfredo Criollo. 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 Alfredo Criollo. The network helps show where Alfredo Criollo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alfredo Criollo, 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 | 2024 | 1 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 3 | |
| 5 | 2020 | 30 | |
| 6 | 2019 | 5 | |
| 7 | 2018 | 29 | |
| 8 | 2017 | 73 | |
| 9 | Doxorubicin Blocks Cardiomyocyte Autophagic Flux by Inhibiting Lysosome Acidificationbreakdown → | 2016 | 359 |
| 10 | 2011 | 80 | |
| 11 | 2010 | 239 | |
| 12 | 2010 | 121 | |
| 13 | The mitochondrial ribosomal of the large subunit, afo1p, determines cellular longevity through mitochondrial back-signaling via TOR1 | 2009 | 1 |
| 14 | 2009 | 319 | |
| 15 | 2009 | 234 | |
| 16 | 2008 | 24 | |
| 17 | 2008 | 205 | |
| 18 | 2008 | 355 | |
| 19 | 2006 | 35 | |
| 20 | 2006 | 15 |
About Alfredo Criollo
Alfredo Criollo is a scholar working on Aging, Physiology and Geriatrics and Gerontology, having authored 75 papers that have together received 8.9k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (45 papers), Cancer-related Molecular Pathways (9 papers), Endoplasmic Reticulum Stress and Disease (9 papers), Genetic and Kidney Cyst Diseases (8 papers), Calcium signaling and nucleotide metabolism (7 papers), Epigenetics and DNA Methylation (7 papers), Mitochondrial Function and Pathology (6 papers) and Sirtuins and Resveratrol in Medicine (6 papers). The work is most often cited by research in Aging (295 citations), Physiology (700 citations) and Geriatrics and Gerontology (572 citations). Alfredo Criollo has collaborated with scholars based in Chile, France and United States. Frequent co-authors include Guido Kroemer, Maria Chiara Maiuri, Eugenia Morselli, Ezgi Tasdemir, Lorenzo Galluzzi, Sergio Lavandero, Oliver Kepp, Nektarios Tavernarakis, Ilio Vitale and Joseph A. Hill. Their work appears in journals such as Cell Cycle, Cell Death and Differentiation, Autophagy, Frontiers in Endocrinology and Circulation.
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.