John Labbadia
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- Genetic Neurodegenerative Diseases
Papers in ⓘ
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- 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)Tomas Schmauck‐Medina (1 shared paper)Linda Partridge (1 shared paper)Malene Hansen (1 shared paper)Terje Johansen (1 shared paper)Guido Kroemer (1 shared paper)Nektarios Tavernarakis (1 shared paper)
- Journals
- F1000Prime Reports (2 papers)iScience (1 paper)Scientific Reports (1 paper)Human Molecular Genetics (1 paper)Cell Reports (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
John Labbadia
10 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Aging 252
- Cellular and Molecular Neuroscience 336
- Cell Biology 281
- Geriatrics and Gerontology 57
- Molecular Biology 850
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 | 798 |
| 2 | 2013 | 258 | |
| 3 | 2011 | 138 | |
| 4 | 2014 | 89 | |
| 5 | 2012 | 88 | |
| 6 | 2014 | 78 | |
| 7 | 2014 | 33 | |
| 8 | 2020 | 29 | |
| 9 | 2022 | 9 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 0 |
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 1.5k 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), Ubiquitin and proteasome pathways (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Aging (252 citations), Cellular and Molecular Neuroscience (336 citations), Cell Biology (281 citations), Geriatrics and Gerontology (57 citations) and Molecular Biology (850 citations). John Labbadia has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Richard I. Morimoto, Yahyah Aman, Tomas Schmauck‐Medina, Linda Partridge, Malene Hansen, Terje Johansen, Guido Kroemer, Nektarios Tavernarakis, David C. Rubinsztein and Anna Katharina Simon. Their work appears in journals such as F1000Prime Reports, iScience, Scientific Reports, Human Molecular Genetics and Cell Reports.
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.