Edward A. Fon
- Neurology top 0.2%
- Parkinson's Disease Mechanisms and Treatments 51
- Neurological disorders and treatments 13
- Epidemiology top 0.5%
- Autophagy in Disease and Therapy 30
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 13
- Cell Biology top 0.5%
- Cellular transport and secretion 19
- Molecular Biology top 0.5%
- Mitochondrial Function and Pathology 25
- Ubiquitin and proteasome pathways 15
- Pluripotent Stem Cells Research 10
- Co-authors
- Gian‐Luca McLellandHeidi M. McBrideThomas M. DurcanVincent SoubannierJean‐François TrempeRobert H. EdwardsKarl GrenierAyumu Sugiura
- Journals
- Nature (1 paper)Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Edward A. Fon
116 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Neurology 3.0k
- Epidemiology 4.1k
- Cellular and Molecular Neuroscience 2.2k
- Cell Biology 1.6k
- Molecular Biology 6.2k
Countries citing papers authored by Edward A. Fon
This map shows the geographic impact of Edward A. Fon'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 Edward A. Fon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward A. Fon more than expected).
Fields of papers citing papers by Edward A. Fon
This network shows the impact of papers produced by Edward A. Fon. 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 Edward A. Fon. The network helps show where Edward A. Fon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Edward A. Fon, 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 | 2024 | 1 | |
| 2 | 2024 | 17 | |
| 3 | 2024 | 36 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 9 | |
| 6 | 2021 | 22 | |
| 7 | 2020 | 16 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 29 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 25 | |
| 12 | 2019 | 41 | |
| 13 | 2019 | 58 | |
| 14 | 2018 | 7 | |
| 15 | 2018 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2018 | 17 | |
| 18 | 2018 | 14 | |
| 19 | Structure of Parkin Reveals Mechanisms for Ubiquitin Ligase Activationbreakdown → | 2013 | 417 |
| 20 | 2012 | 103 |
About Edward A. Fon
Edward A. Fon is a scholar working on Medical Terminology, Neurology and Cellular and Molecular Neuroscience, having authored 124 papers that have together received 10.1k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (51 papers), Autophagy in Disease and Therapy (30 papers), Mitochondrial Function and Pathology (25 papers), Cellular transport and secretion (19 papers), Ubiquitin and proteasome pathways (15 papers), Neuroscience and Neuropharmacology Research (13 papers), Neurological disorders and treatments (13 papers) and Pluripotent Stem Cells Research (10 papers). The work is most often cited by research in Neurology (3.0k citations), Epidemiology (4.1k citations) and Cellular and Molecular Neuroscience (2.2k citations). Edward A. Fon has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Gian‐Luca McLelland, Heidi M. McBride, Thomas M. Durcan, Vincent Soubannier, Jean‐François Trempe, Robert H. Edwards, Karl Grenier, Ayumu Sugiura, Carol X Chen and Matthew Y. H. Tang. Their work appears in journals such as Nature, Science 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.