John Labbadia
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- Genetic Neurodegenerative Diseases
Papers in
-
- Heat shock proteins research 6
- Mitochondrial Function and Pathology 4
- Ubiquitin and proteasome pathways 1
- Aging 7
- Genetics, Aging, and Longevity in Model Organisms 7
- Co-authors
- Richard I. Morimoto (4 shared papers)Yahyah Aman (3 shared papers)Nektarios Tavernarakis (1 shared paper)Guido Kroemer (1 shared paper)David C. Rubinsztein (1 shared paper)Malene Hansen (1 shared paper)Konstantinos Palikaras (1 shared paper)Linda Partridge (1 shared paper)
- Journals
- F1000Prime Reports (2 papers)Human Molecular Genetics (1 paper)Cell Reports (1 paper)Nature Aging (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
John Labbadia
11 papers receiving 1.6k citations
John Labbadia's Hit Papers
Peers
Comparison fields: 5 of 103
- Aging 254
- Cellular and Molecular Neuroscience 345
- Geriatrics and Gerontology 57
- Cell Biology 281
- Physiology 312
Countries citing papers authored by John Labbadia
This map shows the geographic impact of John Labbadia'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 John Labbadia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Labbadia more than expected).
Fields of papers citing papers by John Labbadia
This network shows the impact of papers produced by John Labbadia. 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 John Labbadia. The network helps show where John Labbadia may publish in the future.
Co-authors
The 25 scholars most cited alongside John Labbadia, 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 | Autophagy in healthy aging and disease Hit paper breakdown → | 2021 | 861 |
| 2 | 2013 | 281 | |
| 3 | 2011 | 144 | |
| 4 | 2014 | 91 | |
| 5 | 2012 | 89 | |
| 6 | 2014 | 80 | |
| 7 | 2014 | 35 | |
| 8 | 2020 | 30 | |
| 9 | 2022 | 9 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 1 |
About John Labbadia
John Labbadia is a scholar working on Molecular Biology, Aging, Physiology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Heat shock proteins research (6 papers), Mitochondrial Function and Pathology (4 papers), Spaceflight effects on biology (4 papers), Genetic Neurodegenerative Diseases (3 papers), Advanced Proteomics Techniques and Applications (1 paper), Ubiquitin and proteasome pathways (1 paper) and Circadian rhythm and melatonin (1 paper). The work is most often cited by research in Aging (254 citations), Cellular and Molecular Neuroscience (345 citations), Geriatrics and Gerontology (57 citations), Cell Biology (281 citations) and Physiology (312 citations). John Labbadia has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Richard I. Morimoto, Yahyah Aman, Nektarios Tavernarakis, Guido Kroemer, David C. Rubinsztein, Malene Hansen, Konstantinos Palikaras, Linda Partridge, Evandro Fei Fang and Tomas Schmauck‐Medina. Their work appears in journals such as F1000Prime Reports, Human Molecular Genetics, Cell Reports, Nature Aging and Journal of Clinical Investigation.
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.