Eric Yu
Impact in
-
- Infrared Thermography in Medicine
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
Papers in
- Co-authors
- P.D. Ahlgren (3 shared papers)John R. Keyserlingk (3 shared papers)Ziv Gan‐Or (22 shared papers)Lynne Krohn (10 shared papers)Jennifer A. Ruskey (9 shared papers)Dan Spiegelman (8 shared papers)Farnaz Asayesh (10 shared papers)Guy A. Rouleau (6 shared papers)
- Journals
- Movement Disorders (4 papers)Neurobiology of Aging (4 papers)Brain (2 papers)npj Parkinson s Disease (2 papers)Parkinsonism & Related Disorders (2 papers)
- Partner nations
- CanadaUnited StatesIsrael
In The Last Decade
Eric Yu
28 papers receiving 496 citations
Peers
Comparison fields: 5 of 84
- Radiology, Nuclear Medicine and Imaging 237
- Neurology 128
- Neurology 65
- Physiology 196
- Mechanics of Materials 180
Countries citing papers authored by Eric Yu
This map shows the geographic impact of Eric Yu'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 Eric Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Yu more than expected).
Fields of papers citing papers by Eric Yu
This network shows the impact of papers produced by Eric Yu. 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 Eric Yu. The network helps show where Eric Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Yu, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 121 | |
| 2 | 1998 | 116 | |
| 3 | 2021 | 34 | |
| 4 | 2020 | 29 | |
| 5 | 2020 | 29 | |
| 6 | 2020 | 25 | |
| 7 | 2021 | 25 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2022 | 14 | |
| 11 | 2023 | 13 | |
| 12 | 2020 | 13 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2021 | 7 | |
| 16 | 1990 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2020 | 5 |
About Eric Yu
Eric Yu is a scholar working on Neurology, Genetics, Molecular Biology, Physiology and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 516 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (12 papers), RNA regulation and disease (6 papers), Genetics and Neurodevelopmental Disorders (6 papers), Neurological diseases and metabolism (4 papers), AI in cancer detection (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Genetic Associations and Epidemiology (3 papers) and Lysosomal Storage Disorders Research (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (237 citations), Neurology (128 citations), Neurology (65 citations), Physiology (196 citations) and Mechanics of Materials (180 citations). Eric Yu has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include P.D. Ahlgren, John R. Keyserlingk, Ziv Gan‐Or, Lynne Krohn, Jennifer A. Ruskey, Dan Spiegelman, Farnaz Asayesh, Guy A. Rouleau, Konstantin Senkevich and Cheryl Waters. Their work appears in journals such as Movement Disorders, Neurobiology of Aging, Brain, npj Parkinson s Disease and Parkinsonism & Related Disorders.
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.