Eric Chau
Impact in
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- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Immune cells in cancer
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- Neonatal Respiratory Health Research
Papers in
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- Ion Transport and Channel Regulation 3
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- Immune cells in cancer 3
- Immune Response and Inflammation 2
- Co-authors
- Venkataramana K. Sidhaye (10 shared papers)Landon S. King (7 shared papers)Franco R. D’Alessio (7 shared papers)Neil R. Aggarwal (7 shared papers)F.W. Anthony (1 shared paper)Jason R. Mock (4 shared papers)G.M. Masson (1 shared paper)Brian T. Garibaldi (5 shared papers)
- Journals
- American Journal of Respiratory Cell and Molecular Biology (5 papers)Tissue Engineering (2 papers)PLoS ONE (2 papers)Nanotoxicology (1 paper)Immunology (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Eric Chau
25 papers receiving 726 citations
Peers
Comparison fields: 5 of 99
- Immunology 189
- Pulmonary and Respiratory Medicine 225
- Biomaterials 87
- Radiology, Nuclear Medicine and Imaging 84
- Physiology 16
Countries citing papers authored by Eric Chau
This map shows the geographic impact of Eric 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 Eric Chau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Chau more than expected).
Fields of papers citing papers by Eric Chau
This network shows the impact of papers produced by Eric 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 Eric Chau. The network helps show where Eric Chau may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 151 | |
| 2 | 2014 | 82 | |
| 3 | 2006 | 77 | |
| 4 | 1985 | 75 | |
| 5 | 2016 | 50 | |
| 6 | 2010 | 43 | |
| 7 | 2016 | 38 | |
| 8 | 2020 | 32 | |
| 9 | 2015 | 29 | |
| 10 | 2012 | 27 | |
| 11 | 2006 | 27 | |
| 12 | 2013 | 23 | |
| 13 | 2013 | 21 | |
| 14 | 2014 | 14 | |
| 15 | 2012 | 13 | |
| 16 | 2022 | 11 | |
| 17 | 2017 | 7 | |
| 18 | 2018 | 6 | |
| 19 | 2022 | 4 | |
| 20 | 2024 | 2 |
About Eric Chau
Eric Chau is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Biomaterials and Oncology, having authored 27 papers that have together received 740 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (4 papers), Cancer Cells and Metastasis (3 papers), Immune cells in cancer (3 papers), Respiratory Support and Mechanisms (3 papers), Ion Transport and Channel Regulation (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (189 citations), Pulmonary and Respiratory Medicine (225 citations), Biomaterials (87 citations), Radiology, Nuclear Medicine and Imaging (84 citations) and Physiology (16 citations). Eric Chau has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Venkataramana K. Sidhaye, Landon S. King, Franco R. D’Alessio, Neil R. Aggarwal, F.W. Anthony, Jason R. Mock, G.M. Masson, Brian T. Garibaldi, Allison Hubel and Michael Drummond. Their work appears in journals such as American Journal of Respiratory Cell and Molecular Biology, Tissue Engineering, PLoS ONE, Nanotoxicology and Immunology.
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.