David Chau
- Developmental Neuroscience top 5%
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications 10
- Rehabilitation top 2%
- Wound Healing and Treatments 5
- Dermatology top 5%
- Urology top 5%
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- Bone Tissue Engineering Materials 11
- 3D Printing in Biomedical Research 8
- Graphene and Nanomaterials Applications 5
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- Corneal Surgery and Treatments 7
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- Pluripotent Stem Cells Research 5
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- Tissue Engineering and Regenerative Medicine 4
- Co-authors
- Kevin M. ShakesheffMartin GriffinMichel ModoMorgan R. AlexanderEllen BibleMichael T. LongakerWun‐Jae KimGeorge K. Gittes
- Partner nations
- United KingdomSouth KoreaUnited States
In The Last Decade
David Chau
53 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 119
- Developmental Neuroscience 151
- Biomaterials 387
- Rehabilitation 184
- Dermatology 161
- Urology 105
Countries citing papers authored by David Chau
This map shows the geographic impact of David Chau'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 David Chau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Chau more than expected).
Fields of papers citing papers by David Chau
This network shows the impact of papers produced by David Chau. 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 David Chau. The network helps show where David Chau may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Chau, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 35 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 36 | |
| 14 | Normal Tension Glaucoma patients have reduced systemic mitochondrial function compared to High Tension Glaucoma patients | 2020 | 2 |
| 15 | The effects of Vitamin B3 on fibroblast mitochondrial function in glaucoma patients | 2018 | 2 |
| 16 | 2018 | 13 | |
| 17 | 2017 | 10 | |
| 18 | 2012 | 25 | |
| 19 | 2010 | 64 | |
| 20 | A biosynthetic bandage for corneal wound repair | 2008 | 1 |
About David Chau
David Chau is a scholar working on Biomaterials, Developmental Neuroscience, Rehabilitation, Ophthalmology and Immunology and Allergy, having authored 57 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (11 papers), Electrospun Nanofibers in Biomedical Applications (10 papers), 3D Printing in Biomedical Research (8 papers), Corneal Surgery and Treatments (7 papers), Wound Healing and Treatments (5 papers), Graphene and Nanomaterials Applications (5 papers), Pluripotent Stem Cells Research (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Developmental Neuroscience (151 citations), Biomaterials (387 citations), Rehabilitation (184 citations), Dermatology (161 citations) and Urology (105 citations). David Chau has collaborated with scholars based in United Kingdom, South Korea and United States. Frequent co-authors include Kevin M. Shakesheff, Martin Griffin, Michel Modo, Morgan R. Alexander, Ellen Bible, Michael T. Longaker, Wun‐Jae Kim, George K. Gittes, Russell Collighan and Elisabetta Verderio. Their work appears in journals such as Biomaterials, PLoS ONE, Biomedical Materials, Stem Cells and Development and Investigative Ophthalmology & Visual Science.
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.