Johnathan Labbadia

2.4k total citations · 1 hit paper
9 papers, 1.7k citations indexed

About

Johnathan Labbadia is a scholar working on Molecular Biology, Aging and Cell Biology. According to data from OpenAlex, Johnathan Labbadia has authored 9 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Aging and 3 papers in Cell Biology. Recurrent topics in Johnathan Labbadia's work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Heat shock proteins research (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Johnathan Labbadia is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (7 papers), Heat shock proteins research (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Johnathan Labbadia collaborates with scholars based in United Kingdom, United States and Germany. Johnathan Labbadia's co-authors include Richard I. Morimoto, Jian Li, Renée M. Brielmann, Cole M. Haynes, Mário F. Neto, Felix Boos, Johannes M. Herrmann, Handan Melike Dönertaş, Janet M. Thornton and Linda Partridge and has published in prestigious journals such as Nature Communications, Annual Review of Biochemistry and Molecular Cell.

In The Last Decade

Johnathan Labbadia

9 papers receiving 1.6k citations

Hit Papers

The Biology of Proteostasis in Aging and Disease 2015 2026 2018 2022 2015 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Johnathan Labbadia United Kingdom 7 1.1k 535 508 376 207 9 1.7k
Prasad Kasturi Germany 7 1.2k 1.1× 541 1.0× 439 0.9× 386 1.0× 183 0.9× 11 1.8k
Peter M. Douglas United States 17 986 0.9× 434 0.8× 495 1.0× 330 0.9× 259 1.3× 28 1.5k
John Labbadia United Kingdom 9 850 0.8× 281 0.5× 252 0.5× 303 0.8× 383 1.9× 11 1.5k
Jenni Durieux United States 16 1.6k 1.4× 513 1.0× 1.3k 2.5× 693 1.8× 293 1.4× 22 2.5k
Ludivine Walter France 16 1.6k 1.4× 524 1.0× 143 0.3× 277 0.7× 332 1.6× 20 2.0k
Suzanne Wolff United States 12 1.9k 1.7× 572 1.1× 1.6k 3.1× 812 2.2× 296 1.4× 12 2.8k
Márton L. Tóth United States 12 479 0.4× 155 0.3× 511 1.0× 218 0.6× 394 1.9× 13 1.1k
Giulia Vecchi United Kingdom 10 515 0.5× 182 0.3× 228 0.4× 257 0.7× 47 0.2× 11 829
Karl A. Rodriguez United States 16 781 0.7× 113 0.2× 267 0.5× 243 0.6× 88 0.4× 30 1.2k
Manish Jaiswal United States 22 1.3k 1.2× 450 0.8× 95 0.2× 314 0.8× 189 0.9× 31 2.0k

Countries citing papers authored by Johnathan Labbadia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Johnathan Labbadia

This figure shows the co-authorship network connecting the top 25 collaborators of Johnathan Labbadia. A scholar is included among the top collaborators of Johnathan Labbadia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Johnathan Labbadia. Johnathan Labbadia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Chiozzi, Riccardo Zenezini, et al.. (2024). HSF-1 promotes longevity through ubiquilin-1-dependent mitochondrial network remodelling. Nature Communications. 15(1). 9797–9797. 5 indexed citations
2.
Labbadia, Johnathan. (2023). Potential roles for mitochondria-to-HSF1 signaling in health and disease. Frontiers in Molecular Biosciences. 10. 1332658–1332658. 5 indexed citations
3.
Joshi, Priyanka, Michele Perni, Ryan Limbocker, et al.. (2021). Two human metabolites rescue a C. elegans model of Alzheimer’s disease via a cytosolic unfolded protein response. Communications Biology. 4(1). 843–843. 14 indexed citations
4.
Boos, Felix, Johnathan Labbadia, & Johannes M. Herrmann. (2020). How the Mitoprotein-Induced Stress Response Safeguards the Cytosol: A Unified View. Trends in Cell Biology. 30(3). 241–254. 56 indexed citations
5.
Fuentealba, Matías, et al.. (2019). Using the drug-protein interactome to identify anti-ageing compounds for humans. PLoS Computational Biology. 15(1). e1006639–e1006639. 32 indexed citations
6.
Li, Jian, Johnathan Labbadia, & Richard I. Morimoto. (2017). Rethinking HSF1 in Stress, Development, and Organismal Health. Trends in Cell Biology. 27(12). 895–905. 184 indexed citations
7.
Labbadia, Johnathan, et al.. (2017). Mitochondrial Stress Restores the Heat Shock Response and Prevents Proteostasis Collapse during Aging. Cell Reports. 21(6). 1481–1494. 119 indexed citations
8.
Labbadia, Johnathan & Richard I. Morimoto. (2015). Repression of the Heat Shock Response Is a Programmed Event at the Onset of Reproduction. Molecular Cell. 59(4). 639–650. 238 indexed citations
9.
Labbadia, Johnathan & Richard I. Morimoto. (2015). The Biology of Proteostasis in Aging and Disease. Annual Review of Biochemistry. 84(1). 435–464. 1000 indexed citations breakdown →

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.

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