Ming Sum Ruby Chiang
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Haruki Higashimori (5 shared papers)Yongjie Yang (6 shared papers)Lydie Morel (4 shared papers)Yuqin Men (4 shared papers)Yang Tian (2 shared papers)Shijie Jin (2 shared papers)Rachel Jarvis (3 shared papers)Eoin Brown (1 shared paper)
- Journals
- Glia (2 papers)Journal of Neuroscience (2 papers)Scientific Reports (1 paper)Nature Communications (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Ming Sum Ruby Chiang
11 papers receiving 701 citations
Peers
Comparison fields: 5 of 72
- Developmental Neuroscience 117
- Neurology 228
- Cancer Research 155
- Cellular and Molecular Neuroscience 156
- Biological Psychiatry 21
Countries citing papers authored by Ming Sum Ruby Chiang
This map shows the geographic impact of Ming Sum Ruby Chiang'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 Ming Sum Ruby Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Sum Ruby Chiang more than expected).
Fields of papers citing papers by Ming Sum Ruby Chiang
This network shows the impact of papers produced by Ming Sum Ruby Chiang. 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 Ming Sum Ruby Chiang. The network helps show where Ming Sum Ruby Chiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Sum Ruby Chiang, 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 | 2019 | 256 | |
| 2 | 2017 | 170 | |
| 3 | 2016 | 82 | |
| 4 | 2018 | 51 | |
| 5 | 2020 | 34 | |
| 6 | 2021 | 31 | |
| 7 | 2020 | 25 | |
| 8 | 2016 | 16 | |
| 9 | 2021 | 16 | |
| 10 | 2020 | 11 | |
| 11 | 2020 | 11 |
About Ming Sum Ruby Chiang
Ming Sum Ruby Chiang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Neurology and Physiology, having authored 11 papers that have together received 703 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Lysosomal Storage Disorders Research (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Autism Spectrum Disorder Research (3 papers), MicroRNA in disease regulation (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (117 citations), Neurology (228 citations), Cancer Research (155 citations), Cellular and Molecular Neuroscience (156 citations) and Biological Psychiatry (21 citations). Ming Sum Ruby Chiang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Haruki Higashimori, Yongjie Yang, Lydie Morel, Yuqin Men, Yang Tian, Shijie Jin, Rachel Jarvis, Eoin Brown, Lakshmanan K. Iyer and Albert Tai. Their work appears in journals such as Glia, Journal of Neuroscience, Scientific Reports, Nature Communications and Frontiers in Neuroscience.
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.