Johnathan Labbadia
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Heat shock proteins research 4
- Mitochondrial Function and Pathology 3
- Genomics, phytochemicals, and oxidative stress 1
- Bioinformatics and Genomic Networks 1
- Aging 7
- Genetics, Aging, and Longevity in Model Organisms 7
- Co-authors
- Richard I. Morimoto (4 shared papers)Jian Li (1 shared paper)Mário F. Neto (1 shared paper)Renée M. Brielmann (1 shared paper)Cole M. Haynes (1 shared paper)Felix Boos (1 shared paper)Johannes M. Herrmann (1 shared paper)Janet M. Thornton (1 shared paper)
- Journals
- Trends in Cell Biology (2 papers)Frontiers in Molecular Biosciences (1 paper)PLoS Computational Biology (1 paper)Nature Communications (1 paper)Cell Reports (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Johnathan Labbadia
9 papers receiving 1.6k citations
Johnathan Labbadia's Hit Papers
Peers
Comparison fields: 5 of 94
- Aging 508
- Cell Biology 535
- Molecular Biology 1.1k
- Physiology 376
- Endocrine and Autonomic Systems 95
Countries citing papers authored by Johnathan Labbadia
This map shows the geographic impact of Johnathan 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 Johnathan Labbadia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johnathan Labbadia more than expected).
Fields of papers citing papers by Johnathan Labbadia
This network shows the impact of papers produced by Johnathan 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 Johnathan Labbadia. The network helps show where Johnathan Labbadia may publish in the future.
Co-authors
The 21 scholars most cited alongside Johnathan 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 | The Biology of Proteostasis in Aging and Disease Hit paper breakdown → | 2015 | 1000 |
| 2 | 2015 | 238 | |
| 3 | 2017 | 184 | |
| 4 | 2017 | 119 | |
| 5 | 2020 | 56 | |
| 6 | 2019 | 32 | |
| 7 | 2021 | 14 | |
| 8 | 2023 | 5 | |
| 9 | 2024 | 5 |
About Johnathan Labbadia
Johnathan Labbadia is a scholar working on Molecular Biology, Aging, Cell Biology, Physiology and Endocrine and Autonomic Systems, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Heat shock proteins research (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Mitochondrial Function and Pathology (3 papers), Spaceflight effects on biology (2 papers), Genomics, phytochemicals, and oxidative stress (1 paper), Bioinformatics and Genomic Networks (1 paper) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Aging (508 citations), Cell Biology (535 citations), Molecular Biology (1.1k citations), Physiology (376 citations) and Endocrine and Autonomic Systems (95 citations). Johnathan Labbadia has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Richard I. Morimoto, Jian Li, Mário F. Neto, Renée M. Brielmann, Cole M. Haynes, Felix Boos, Johannes M. Herrmann, Janet M. Thornton, Linda Partridge and Matías Fuentealba. Their work appears in journals such as Trends in Cell Biology, Frontiers in Molecular Biosciences, PLoS Computational Biology, Nature Communications 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.