Gino Cortopassi
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
-
- Genetic Neurodegenerative Diseases
Papers in
-
- Mitochondrial Function and Pathology 35
- DNA Repair Mechanisms 7
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- Genetic Neurodegenerative Diseases 23
- Co-authors
- Joy C. Yang (3 shared papers)Yuxi Shan (6 shared papers)Eleonora Napoli (8 shared papers)Alice Wong (5 shared papers)Tim Hutchin (2 shared papers)Alexey Tomilov (22 shared papers)Sandipan Datta (10 shared papers)Jon J. Ramsey (16 shared papers)
- Journals
- Human Molecular Genetics (9 papers)PLoS ONE (4 papers)Mitochondrion (3 papers)Antioxidants and Redox Signaling (3 papers)The FASEB Journal (3 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Gino Cortopassi
81 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 138
- Aging 165
- Cellular and Molecular Neuroscience 815
- Clinical Biochemistry 222
- Biological Psychiatry 79
- Molecular Biology 2.1k
Countries citing papers authored by Gino Cortopassi
This map shows the geographic impact of Gino Cortopassi'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 Gino Cortopassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gino Cortopassi more than expected).
Fields of papers citing papers by Gino Cortopassi
This network shows the impact of papers produced by Gino Cortopassi. 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 Gino Cortopassi. The network helps show where Gino Cortopassi may publish in the future.
Co-authors
The 25 scholars most cited alongside Gino Cortopassi, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 364 | |
| 2 | 1998 | 197 | |
| 3 | 2009 | 179 | |
| 4 | 2013 | 133 | |
| 5 | 2007 | 126 | |
| 6 | 2008 | 113 | |
| 7 | 2017 | 107 | |
| 8 | 1996 | 94 | |
| 9 | 2005 | 92 | |
| 10 | 2021 | 89 | |
| 11 | 2016 | 87 | |
| 12 | 1994 | 86 | |
| 13 | 2006 | 84 | |
| 14 | 2006 | 82 | |
| 15 | 2015 | 73 | |
| 16 | 1997 | 72 | |
| 17 | 2009 | 70 | |
| 18 | 2016 | 69 | |
| 19 | 2014 | 66 | |
| 20 | 2016 | 65 |
About Gino Cortopassi
Gino Cortopassi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Cell Biology and Neurology, having authored 83 papers that have together received 3.4k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (35 papers), Genetic Neurodegenerative Diseases (23 papers), Diet and metabolism studies (12 papers), Adipose Tissue and Metabolism (11 papers), Endoplasmic Reticulum Stress and Disease (9 papers), DNA Repair Mechanisms (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Tryptophan and brain disorders (4 papers). The work is most often cited by research in Aging (165 citations), Cellular and Molecular Neuroscience (815 citations), Clinical Biochemistry (222 citations), Biological Psychiatry (79 citations) and Molecular Biology (2.1k citations). Gino Cortopassi has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Joy C. Yang, Yuxi Shan, Eleonora Napoli, Alice Wong, Tim Hutchin, Alexey Tomilov, Sandipan Datta, Jon J. Ramsey, Marissa Z. McMackin and Kevork Hagopian. Their work appears in journals such as Human Molecular Genetics, PLoS ONE, Mitochondrion, Antioxidants and Redox Signaling and The FASEB Journal.
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.