Impact
Jan Gruber is an Associate Professor in the Department of Biochemistry at the National University of Singapore's Yong Loo Lin School of Medicine and part of its Healthy Longevity Translational Research Program. Trained in physics and applied mathematics at RWTH Aachen and Cambridge, he completed a DPhil in biochemistry at Oxford before moving to NUS, where he has run a laboratory since 2014. His early work used C. elegans to test the role of mitochondria and free radicals in ageing, including studies of mitochondria-targeted antioxidants and of oxidative-damage biomarkers, and a review of the mitochondrial free radical theory of ageing. More recent publications apply computational and physics-based approaches to ageing, including 'Foundations of Gerophysics', a pathology-trained lipid ageing clock, single-cell analyses of nonlinear immune ageing, and a proposal to reframe biological age as risk-equivalent age. He is listed on the team of the ageing-biotech company Gero, whose framework for classifying ageing interventions is named the Fedichev-Gruber theory. For the longevity field he works on quantitative definitions of biological age and on theory for choosing intervention strategies.
Metrics
- h-index 37 · google scholar as of 2026-09-23 source ↗
Research output
119 works · 3,469 citations · h-index 32 OpenAlex ↗
Selected publications
- WNT Signaling in Disease ↗ 2019 · 218 citations
- The DrugAge database of aging-related drugs ↗ 2017 · 191 citations
- The mitochondria-targeted antioxidant MitoQ extends lifespan and improves healthspan of a transgenic Caenorhabditis elegans model of Alzheimer disease ↗ 2014 · 183 citations
- The mitochondrial free radical theory of ageing - Where do we stand? ↗ 2008 · 168 citations
- Evidence for a Trade‐Off between Survival and Fitness Caused by Resveratrol Treatment of Caenorhabditis elegans ↗ 2007 · 163 citations
Links
Research fields
Associated labs
Sources & review · profile last updated 2026-09-29
- https://medicine.nus.edu.sg/bch/faculty/jan-gruber/ 2026-09-23
- https://doi.org/10.1038/s41467-026-76737-4 2026-09-23
- https://doi.org/10.14336/ad.2026.0300 2026-09-23
- https://doi.org/10.18632/aging.206378 2026-09-23
- https://doi.org/10.1038/s43587-025-01038-2 2026-09-23
- https://www.gero.ai/team 2026-09-23
- https://www.gero.ai/ 2026-09-23
- https://scholar.google.com/citations?user=s4XzRAYAAAAJ&hl=en 2026-09-23