John Labbadia

2.2k total citations · 1 hit paper
11 papers, 1.5k citations indexed

About

John Labbadia is a scholar working on Molecular Biology, Aging and Physiology. According to data from OpenAlex, John Labbadia has authored 11 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Aging and 4 papers in Physiology. Recurrent topics in John Labbadia's work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Heat shock proteins research (6 papers) and Mitochondrial Function and Pathology (4 papers). John Labbadia is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (7 papers), Heat shock proteins research (6 papers) and Mitochondrial Function and Pathology (4 papers). John Labbadia collaborates with scholars based in United Kingdom, United States and Switzerland. John Labbadia's co-authors include Richard I. Morimoto, Yahyah Aman, Ivana Bjedov, Anne Simonsen, David C. Rubinsztein, Nektarios Tavernarakis, Evandro Fei Fang, Malene Hansen, Terje Johansen and Anna Katharina Simon and has published in prestigious journals such as Journal of Clinical Investigation, Brain and Scientific Reports.

In The Last Decade

John Labbadia

10 papers receiving 1.5k citations

Hit Papers

Autophagy in healthy aging and disease 2021 2026 2022 2024 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Labbadia United Kingdom 9 850 383 336 303 281 11 1.5k
Kerri J. Kinghorn United Kingdom 17 604 0.7× 213 0.6× 187 0.6× 525 1.7× 252 0.9× 23 1.4k
Ludivine Walter France 16 1.6k 1.9× 332 0.9× 257 0.8× 277 0.9× 524 1.9× 20 2.0k
Prasad Kasturi Germany 7 1.2k 1.4× 183 0.5× 157 0.5× 386 1.3× 541 1.9× 11 1.8k
Sunhong Kim South Korea 21 1.2k 1.4× 389 1.0× 370 1.1× 314 1.0× 206 0.7× 48 2.0k
Subhas C. Biswas India 23 1.1k 1.3× 185 0.5× 343 1.0× 404 1.3× 205 0.7× 59 1.8k
Marisol Corral‐Debrinski France 28 3.1k 3.6× 154 0.4× 404 1.2× 500 1.7× 227 0.8× 43 3.5k
Edgardo Dimayuga United States 18 934 1.1× 302 0.8× 248 0.7× 439 1.4× 353 1.3× 22 1.7k
Jessica Hui United States 8 764 0.9× 102 0.3× 159 0.5× 299 1.0× 117 0.4× 11 1.2k
Riccardo Cristofani Italy 25 926 1.1× 530 1.4× 350 1.0× 243 0.8× 445 1.6× 47 1.9k
Olli Matilainen Finland 12 858 1.0× 198 0.5× 133 0.4× 358 1.2× 213 0.8× 17 1.4k

Countries citing papers authored by John Labbadia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of John Labbadia

This figure shows the co-authorship network connecting the top 25 collaborators of John Labbadia. A scholar is included among the top collaborators of John 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 John Labbadia. John Labbadia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Secrier, Maria, et al.. (2024). Distinct patterns of proteostasis network gene expression are associated with different prognoses in melanoma patients. Scientific Reports. 14(1). 198–198. 1 indexed citations
3.
Aman, Yahyah, et al.. (2022). Loss of MTCH-1 suppresses age-related proteostasis collapse through the inhibition of programmed cell death factors. Cell Reports. 41(8). 111690–111690. 9 indexed citations
4.
Aman, Yahyah, Tomas Schmauck‐Medina, Malene Hansen, et al.. (2021). Autophagy in healthy aging and disease. Nature Aging. 1(8). 634–650. 798 indexed citations breakdown →
5.
Labbadia, John, et al.. (2020). A Mitochondrial Stress-Specific Form of HSF1 Protects against Age-Related Proteostasis Collapse. Developmental Cell. 54(6). 758–772.e5. 29 indexed citations
6.
Labbadia, John & Richard I. Morimoto. (2014). Proteostasis and longevity: when does aging really begin?. F1000Prime Reports. 6. 7–7. 89 indexed citations
7.
Carnemolla, Alisia, et al.. (2014). Contesting the dogma of an age-related heat shock response impairment: implications for cardiac-specific age-related disorders. Human Molecular Genetics. 23(14). 3641–3656. 33 indexed citations
8.
Labbadia, John & Richard I. Morimoto. (2014). Proteostasis and longevity: when does aging really begin?. F1000Prime Reports. 6. 78 indexed citations
9.
Labbadia, John & Richard I. Morimoto. (2013). Huntington's disease: underlying molecular mechanisms and emerging concepts. Trends in Biochemical Sciences. 38(8). 378–385. 258 indexed citations
10.
Labbadia, John, Sergey S. Novoselov, John S. Bett, et al.. (2012). Suppression of protein aggregation by chaperone modification of high molecular weight complexes. Brain. 135(4). 1180–1196. 88 indexed citations
11.
Labbadia, John, Andreas Weiss, Elena Katsyuba, et al.. (2011). Altered chromatin architecture underlies progressive impairment of the heat shock response in mouse models of Huntington disease. Journal of Clinical Investigation. 121(8). 3306–3319. 138 indexed citations

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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