Mel Β. Feany

18.0k citations
106 papers · 13.4k indexed · 5 hit papers · h-index 54

Impact in

  • Aging top 0.2%
  • Neurology top 0.1%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological diseases and metabolism

Papers in

    • Parkinson's Disease Mechanisms and Treatments 35
    • Neurological diseases and metabolism 10

Mel Β. Feany

103 papers receiving 13.2k citations

Hit Papers

Parkinson's Disease: Genetics and Pathogenesis 2011 · 608 citations
608200020262008201750010001.5k

Peers

Mel Β. Feany
Comparison fields: 5 of 139
  • Aging 714
  • Neurology 5.2k
  • Cellular and Molecular Neuroscience 4.8k
  • Neurology 1.8k
  • Physiology 4.8k
Replace Dimitri Krainc with:
Dimitri Krainc United States
Jie Shen United States
Pamela J. McLean United States
Nobuyuki Nukina Japan
Michael K. Lee United States
Bingwei Lu United States
Philipp J. Kahle Germany
Vernice Jackson‐Lewis United States
Lichuan Yang United States
Linda K. Kwong United States
Mel Β. Feany relative to Dimitri Krainc United States Dimitri Krainc's profile →
Citations per field
00.5×1.5×2.2×
Dimitri Krainc · 1×
Citations per year

Countries citing papers authored by Mel Β. Feany

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mel Β. Feany Line = papers co-authored together Mel Β. Feany links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20239
3 202153
4 202131
5 20202
6 201843
7 201729
8 2013118
9 201158
10 201010
11 2009236
12 2009171
13 2009101
14
Sirtuin 2 Inhibitors Rescue α-Synuclein-Mediated Toxicity in Models of Parkinson's Disease
Hit paper breakdown →
2007853
15 2006424
16 200387
17 200024
18 1996221
19 1996209
20 199588

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.

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