Peter Miu
Impact in
-
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Developmental Neuroscience top 10%
Papers in
-
- Neuroscience and Neuropharmacology Research 7
- Neuroscience and Neural Engineering 2
-
- Ion channel regulation and function 4
- Receptor Mechanisms and Signaling 2
- Lipid Membrane Structure and Behavior 1
- Co-authors
- N. Agopyan (2 shared papers)Zhengping Jia (1 shared paper)John F. MacDonald (1 shared paper)W Abramow-Newerly (1 shared paper)Robert Gerlai (1 shared paper)Alexander A. Velumian (1 shared paper)John Roder (1 shared paper)Franco A. Taverna (1 shared paper)
- Journals
- Experimental Brain Research (2 papers)Journal of Pain (1 paper)Neuropharmacology (1 paper)Nature (1 paper)Hippocampus (1 paper)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Peter Miu
9 papers receiving 807 citations
Peers
Comparison fields: 5 of 69
- Cellular and Molecular Neuroscience 702
- Developmental Neuroscience 70
- Neurology 112
- Cognitive Neuroscience 208
- Biological Psychiatry 17
Countries citing papers authored by Peter Miu
This map shows the geographic impact of Peter Miu'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 Peter Miu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Miu more than expected).
Fields of papers citing papers by Peter Miu
This network shows the impact of papers produced by Peter Miu. 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 Peter Miu. The network helps show where Peter Miu may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Miu, 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 | 1996 | 426 | |
| 2 | 1999 | 265 | |
| 3 | 2001 | 63 | |
| 4 | 1989 | 36 | |
| 5 | 1992 | 15 | |
| 6 | A one-hit model of cell death in inherited neuronal degenerations | 2001 | 9 |
| 7 | 1993 | 6 | |
| 8 | 2004 | 5 | |
| 9 | 2013 | 1 |
About Peter Miu
Peter Miu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Physiology and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 826 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Ion channel regulation and function (4 papers), Neuroscience and Neural Engineering (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Receptor Mechanisms and Signaling (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Pain Mechanisms and Treatments (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (702 citations), Developmental Neuroscience (70 citations), Neurology (112 citations), Cognitive Neuroscience (208 citations) and Biological Psychiatry (17 citations). Peter Miu has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include N. Agopyan, Zhengping Jia, John F. MacDonald, W Abramow-Newerly, Robert Gerlai, Alexander A. Velumian, John Roder, Franco A. Taverna, Zhi‐Gang Xiong and Peter L. Carlen. Their work appears in journals such as Experimental Brain Research, Journal of Pain, Neuropharmacology, Nature and Hippocampus.
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.