Mel Β. Feany
Impact in
Papers in
- Co-authors
- Welcome BenderDennis W. DicksonJoshua M. ShulmanLi ChenJoshua ShulmanPhilip L. De JagerTudor A. FulgaJada Lewis
- Journals
- Journal of Neuroscience (10 papers)Journal of Neuropathology & Experimental Neurology (7 papers)Human Molecular Genetics (6 papers)Nature Communications (5 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesAustraliaFinland
In The Last Decade
Mel Β. Feany
103 papers receiving 13.2k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Aging 714
- Neurology 5.2k
- Cellular and Molecular Neuroscience 4.8k
- Neurology 1.8k
- Physiology 4.8k
Countries citing papers authored by Mel Β. Feany
This map shows the geographic impact of Mel Β. Feany'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 Mel Β. Feany with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mel Β. Feany more than expected).
Fields of papers citing papers by Mel Β. Feany
This network shows the impact of papers produced by Mel Β. Feany. 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 Mel Β. Feany. The network helps show where Mel Β. Feany may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mel Β. Feany, 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 | 2025 | 1 | |
| 2 | 2023 | 9 | |
| 3 | 2021 | 53 | |
| 4 | 2021 | 31 | |
| 5 | 2020 | 2 | |
| 6 | 2018 | 43 | |
| 7 | 2017 | 29 | |
| 8 | 2013 | 118 | |
| 9 | 2011 | 58 | |
| 10 | 2010 | 10 | |
| 11 | 2009 | 236 | |
| 12 | 2009 | 171 | |
| 13 | 2009 | 101 | |
| 14 | Sirtuin 2 Inhibitors Rescue α-Synuclein-Mediated Toxicity in Models of Parkinson's Disease Hit paper breakdown → | 2007 | 853 |
| 15 | 2006 | 424 | |
| 16 | 2003 | 87 | |
| 17 | 2000 | 24 | |
| 18 | 1996 | 221 | |
| 19 | 1996 | 209 | |
| 20 | 1995 | 88 |
About Mel Β. Feany
Mel Β. Feany is a scholar working on Aging, Neurology, Neurology, Cellular and Molecular Neuroscience and Physiology, having authored 106 papers that have together received 13.4k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (35 papers), Alzheimer's disease research and treatments (35 papers), Cellular transport and secretion (15 papers), Neurological diseases and metabolism (10 papers), Mitochondrial Function and Pathology (10 papers), Genetic Neurodegenerative Diseases (10 papers), RNA regulation and disease (9 papers) and Nerve injury and regeneration (9 papers). The work is most often cited by research in Aging (714 citations), Neurology (5.2k citations), Cellular and Molecular Neuroscience (4.8k citations), Neurology (1.8k citations) and Physiology (4.8k citations). Mel Β. Feany has collaborated with scholars based in United States, Australia and Finland. Frequent co-authors include Welcome Bender, Dennis W. Dickson, Joshua M. Shulman, Li Chen, Joshua Shulman, Philip L. De Jager, Tudor A. Fulga, Jada Lewis, Jürgen Götz and Leo J. Pallanck. Their work appears in journals such as Journal of Neuroscience, Journal of Neuropathology & Experimental Neurology, Human Molecular Genetics, Nature Communications and Proceedings of the National Academy of Sciences.
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.