Cheryl Chia
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Psoriasis: Treatment and Pathogenesis
- Immunotherapy and Immune Responses
- Immune cells in cancer
- IL-33, ST2, and ILC Pathways
- Dermatology top 10%
- Dermatology and Skin Diseases
Papers in
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- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 3
- Mast cells and histamine 1
- IL-33, ST2, and ILC Pathways 1
- Phagocytosis and Immune Regulation 1
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- Mitochondrial Function and Pathology 1
- Metabolism, Diabetes, and Cancer 1
- Co-authors
- Dunfang Zhang (5 shared papers)Peter Zanvit (4 shared papers)Wenwen Jin (4 shared papers)Joanne E. Konkel (3 shared papers)Wanjun Chen (2 shared papers)Ruiqing Wu (3 shared papers)Shimpei Kasagi (3 shared papers)Qianming Chen (2 shared papers)
- Journals
- IUBMB Life (2 papers)Immunity (2 papers)Nature Methods (1 paper)Nature Medicine (1 paper)Immunobiology (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Cheryl Chia
10 papers receiving 719 citations
Peers
Comparison fields: 5 of 89
- Immunology 362
- Dermatology 72
- Molecular Biology 298
- Biological Psychiatry 10
- Oncology 103
Countries citing papers authored by Cheryl Chia
This map shows the geographic impact of Cheryl Chia'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 Cheryl Chia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheryl Chia more than expected).
Fields of papers citing papers by Cheryl Chia
This network shows the impact of papers produced by Cheryl Chia. 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 Cheryl Chia. The network helps show where Cheryl Chia may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheryl Chia, 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 | 184 | |
| 2 | 2017 | 178 | |
| 3 | 2015 | 135 | |
| 4 | 2012 | 84 | |
| 5 | 2018 | 63 | |
| 6 | 2019 | 42 | |
| 7 | 2011 | 23 | |
| 8 | 2019 | 8 | |
| 9 | 2011 | 4 | |
| 10 | 2011 | 3 |
About Cheryl Chia
Cheryl Chia is a scholar working on Immunology, Molecular Biology, Pharmacology, Physiology and Surgery, having authored 10 papers that have together received 724 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers), Alzheimer's disease research and treatments (2 papers), Mitochondrial Function and Pathology (1 paper), Mast cells and histamine (1 paper), Metabolism, Diabetes, and Cancer (1 paper), IL-33, ST2, and ILC Pathways (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Immunology (362 citations), Dermatology (72 citations), Molecular Biology (298 citations), Biological Psychiatry (10 citations) and Oncology (103 citations). Cheryl Chia has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Dunfang Zhang, Peter Zanvit, Wenwen Jin, Joanne E. Konkel, Wanjun Chen, Ruiqing Wu, Shimpei Kasagi, Qianming Chen, Xue Jiao and Zi‐Jiang Chen. Their work appears in journals such as IUBMB Life, Immunity, Nature Methods, Nature Medicine and Immunobiology.
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.