Mark Lucanic
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
- Aging 15
- Genetics, Aging, and Longevity in Model Organisms 15
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- Protein Tyrosine Phosphatases 2
- Ubiquitin and proteasome pathways 1
- Co-authors
- Gordon J. Lithgow (12 shared papers)Hwai-Jong Cheng (3 shared papers)Dipa Bhaumik (4 shared papers)Matthew S. Gill (5 shared papers)Azar Asadi Shahmirzadi (2 shared papers)Bradford W. Gibson (2 shared papers)Jill B. Graham (2 shared papers)Brian K. Kennedy (1 shared paper)
- Journals
- Aging (2 papers)Journal of Visualized Experiments (2 papers)Cell Metabolism (1 paper)GeroScience (1 paper)Ageing Research Reviews (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Mark Lucanic
17 papers receiving 670 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Aging 295
- Endocrine and Autonomic Systems 96
- Biological Psychiatry 31
- Physiology 194
- Geriatrics and Gerontology 29
Countries citing papers authored by Mark Lucanic
This map shows the geographic impact of Mark Lucanic'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 Mark Lucanic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Lucanic more than expected).
Fields of papers citing papers by Mark Lucanic
This network shows the impact of papers produced by Mark Lucanic. 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 Mark Lucanic. The network helps show where Mark Lucanic may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Lucanic, 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 | Alpha-Ketoglutarate, an Endogenous Metabolite, Extends Lifespan and Compresses Morbidity in Aging Mice Hit paper breakdown → | 2020 | 266 |
| 2 | 2011 | 113 | |
| 3 | 2016 | 66 | |
| 4 | 2006 | 52 | |
| 5 | 2008 | 49 | |
| 6 | 2012 | 49 | |
| 7 | 2013 | 28 | |
| 8 | 2016 | 21 | |
| 9 | 2018 | 10 | |
| 10 | 2016 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2022 | 4 | |
| 13 | 2018 | 3 | |
| 14 | 2018 | 2 | |
| 15 | 2009 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2022 | 1 |
About Mark Lucanic
Mark Lucanic is a scholar working on Aging, Molecular Biology, Endocrine and Autonomic Systems, Physiology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 681 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (15 papers), Circadian rhythm and melatonin (4 papers), Protein Tyrosine Phosphatases (2 papers), Dietary Effects on Health (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Ubiquitin and proteasome pathways (1 paper), MicroRNA in disease regulation (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Aging (295 citations), Endocrine and Autonomic Systems (96 citations), Biological Psychiatry (31 citations), Physiology (194 citations) and Geriatrics and Gerontology (29 citations). Mark Lucanic has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Gordon J. Lithgow, Hwai-Jong Cheng, Dipa Bhaumik, Matthew S. Gill, Azar Asadi Shahmirzadi, Bradford W. Gibson, Jill B. Graham, Brian K. Kennedy, Herbert G. Kasler and Chen‐Yu Liao. Their work appears in journals such as Aging, Journal of Visualized Experiments, Cell Metabolism, GeroScience and Ageing Research Reviews.
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.