Shu‐Hui Chu
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Barrier Structure and Function Studies
- Neurological Disease Mechanisms and Treatments
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
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- Complement system in diseases 6
- Immunotherapy and Immune Responses 1
-
- Neuroinflammation and Neurodegeneration Mechanisms 6
- Co-authors
- Andrea J. Tenner (12 shared papers)María Isabel Fonseca (7 shared papers)Michael Hernandez (1 shared paper)Grant R. MacGregor (1 shared paper)Ángela Gómez-Arboledas (4 shared papers)Nicole D. Schartz (4 shared papers)Douglas G. Peters (1 shared paper)Marie Benoit (1 shared paper)
- Journals
- Journal of Neuroinflammation (4 papers)Alzheimer s & Dementia (2 papers)Nature Communications (1 paper)Journal of Neurochemistry (1 paper)IEEE Transactions on Cloud Computing (1 paper)
- Partner nations
- United StatesAustraliaHong Kong
In The Last Decade
Shu‐Hui Chu
14 papers receiving 693 citations
Peers
Comparison fields: 5 of 88
- Neurology 366
- Biological Psychiatry 48
- Immunology 240
- Physiology 215
- Developmental Neuroscience 28
Countries citing papers authored by Shu‐Hui Chu
This map shows the geographic impact of Shu‐Hui Chu'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 Shu‐Hui Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Hui Chu more than expected).
Fields of papers citing papers by Shu‐Hui Chu
This network shows the impact of papers produced by Shu‐Hui Chu. 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 Shu‐Hui Chu. The network helps show where Shu‐Hui Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu‐Hui Chu, 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 | 2017 | 267 | |
| 2 | 2010 | 79 | |
| 3 | 2011 | 77 | |
| 4 | 2016 | 73 | |
| 5 | 2022 | 38 | |
| 6 | 2022 | 37 | |
| 7 | 2017 | 28 | |
| 8 | 2024 | 23 | |
| 9 | 2017 | 20 | |
| 10 | 2021 | 20 | |
| 11 | 2024 | 19 | |
| 12 | 2021 | 12 | |
| 13 | 2023 | 6 | |
| 14 | 2008 | 1 |
About Shu‐Hui Chu
Shu‐Hui Chu is a scholar working on Immunology, Neurology, Physiology, Computer Networks and Communications and Molecular Biology, having authored 14 papers that have together received 700 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Complement system in diseases (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Cloud Computing and Resource Management (1 paper), Graphene and Nanomaterials Applications (1 paper), Software-Defined Networks and 5G (1 paper), Immunotherapy and Immune Responses (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Neurology (366 citations), Biological Psychiatry (48 citations), Immunology (240 citations), Physiology (215 citations) and Developmental Neuroscience (28 citations). Shu‐Hui Chu has collaborated with scholars based in United States, Australia and Hong Kong. Frequent co-authors include Andrea J. Tenner, María Isabel Fonseca, Michael Hernandez, Grant R. MacGregor, Ángela Gómez-Arboledas, Nicole D. Schartz, Douglas G. Peters, Marie Benoit, Trent M. Woodruff and Yuko Kimura. Their work appears in journals such as Journal of Neuroinflammation, Alzheimer s & Dementia, Nature Communications, Journal of Neurochemistry and IEEE Transactions on Cloud Computing.
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.