David C. Rubinsztein
Impact in
- Physiology top 0.01%
- Alzheimer's disease research and treatments
- Calcium signaling and nucleotide metabolism
- Aging top 0.1%
Papers in
- Epidemiology 166
- Autophagy in Disease and Therapy 163
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- Mitochondrial Function and Pathology 68
- Ubiquitin and proteasome pathways 31
- Co-authors
- Fiona M. Menzies (38 shared papers)Brinda Ravikumar (28 shared papers)Sovan Sarkar (30 shared papers)Shouqing Luo (18 shared papers)Cahir J. O’Kane (22 shared papers)Kévin Moreau (21 shared papers)Viktor I. Korolchuk (17 shared papers)J. Eric Davies (14 shared papers)
- Journals
- Autophagy (30 papers)Human Molecular Genetics (26 papers)Journal of Medical Genetics (14 papers)Nature Communications (14 papers)Journal of Cell Science (8 papers)
- Partner nations
- United KingdomUnited StatesMalaysia
In The Last Decade
David C. Rubinsztein
352 papers receiving 46.2k citations
David C. Rubinsztein's Hit Papers
Peers
Comparison fields: 5 of 172
- Physiology 4.0k
- Aging 1.2k
- Epidemiology 22.3k
- Cell Biology 10.0k
- Neurology 8.4k
Countries citing papers authored by David C. Rubinsztein
This map shows the geographic impact of David C. Rubinsztein'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 David C. Rubinsztein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Rubinsztein more than expected).
Fields of papers citing papers by David C. Rubinsztein
This network shows the impact of papers produced by David C. Rubinsztein. 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 David C. Rubinsztein. The network helps show where David C. Rubinsztein may publish in the future.
Co-authors
The 25 scholars most cited alongside David C. Rubinsztein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 355 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TFEB Links Autophagy to Lysosomal Biogenesis Hit paper breakdown → | 2011 | 2496 |
| 2 | Inhibition of mTOR induces autophagy and reduces toxicity of polyglutamine expansions in fly and mouse models of Huntington disease Hit paper breakdown → | 2004 | 1902 |
| 3 | Regulation of Mammalian Autophagy in Physiology and Pathophysiology Hit paper breakdown → | 2010 | 1427 |
| 4 | The roles of intracellular protein-degradation pathways in neurodegeneration Hit paper breakdown → | 2006 | 1323 |
| 5 | Autophagy modulation as a potential therapeutic target for diverse diseases Hit paper breakdown → | 2012 | 1188 |
| 6 | α-Synuclein Is Degraded by Both Autophagy and the Proteasome Hit paper breakdown → | 2003 | 1171 |
| 7 | Trehalose, a Novel mTOR-independent Autophagy Enhancer, Accelerates the Clearance of Mutant Huntingtin and α-Synuclein Hit paper breakdown → | 2006 | 919 |
| 8 | Potential therapeutic applications of autophagy Hit paper breakdown → | 2007 | 864 |
| 9 | Autophagy in healthy aging and disease Hit paper breakdown → | 2021 | 798 |
| 10 | Lithium induces autophagy by inhibiting inositol monophosphatase Hit paper breakdown → | 2005 | 780 |
| 11 | Plasma membrane contributes to the formation of pre-autophagosomal structures Hit paper breakdown → | 2010 | 695 |
| 12 | Lysosomal positioning coordinates cellular nutrient responses Hit paper breakdown → | 2011 | 671 |
| 13 | α-Synuclein impairs macroautophagy: implications for Parkinson’s disease Hit paper breakdown → | 2010 | 651 |
| 14 | Compromised autophagy and neurodegenerative diseases Hit paper breakdown → | 2015 | 649 |
| 15 | Novel targets for Huntington's disease in an mTOR-independent autophagy pathway Hit paper breakdown → | 2008 | 638 |
| 16 | Autophagy as a promoter of longevity: insights from model organisms Hit paper breakdown → | 2018 | 549 |
| 17 | Mammalian Autophagy: How Does It Work? Hit paper breakdown → | 2016 | 547 |
| 18 | Autophagy Inhibition Compromises Degradation of Ubiquitin-Proteasome Pathway Substrates Hit paper breakdown → | 2009 | 533 |
| 19 | Rapamycin alleviates toxicity of different aggregate-prone proteins Hit paper breakdown → | 2005 | 532 |
| 20 | 2007 | 474 |
About David C. Rubinsztein
David C. Rubinsztein is a scholar working on Epidemiology, Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology and Neurology, having authored 355 papers that have together received 46.8k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (163 papers), Genetic Neurodegenerative Diseases (117 papers), Mitochondrial Function and Pathology (68 papers), Parkinson's Disease Mechanisms and Treatments (47 papers), Endoplasmic Reticulum Stress and Disease (38 papers), Cellular transport and secretion (34 papers), Lysosomal Storage Disorders Research (33 papers) and Ubiquitin and proteasome pathways (31 papers). The work is most often cited by research in Physiology (4.0k citations), Aging (1.2k citations), Epidemiology (22.3k citations), Cell Biology (10.0k citations) and Neurology (8.4k citations). David C. Rubinsztein has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include Fiona M. Menzies, Brinda Ravikumar, Sovan Sarkar, Shouqing Luo, Cahir J. O’Kane, Kévin Moreau, Viktor I. Korolchuk, J. Eric Davies, Claudia Puri and Maurizio Renna. Their work appears in journals such as Autophagy, Human Molecular Genetics, Journal of Medical Genetics, Nature Communications and Journal of Cell Science.
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.