Choon-Kit Tang
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
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- RNA Interference and Gene Delivery
- Glycosylation and Glycoproteins Research
- Advanced biosensing and bioanalysis techniques
- vaccines and immunoinformatics approaches
Papers in
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- Immunotherapy and Immune Responses 6
- Immune Response and Inflammation 2
- interferon and immune responses 1
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- RNA Interference and Gene Delivery 4
- Glycosylation and Glycoproteins Research 2
- Co-authors
- Vasso Apostolopoulos (5 shared papers)Geoffrey A. Pietersz (5 shared papers)Dodie Pouniotis (2 shared papers)Μαρία Κατσάρα (1 shared paper)Nicole Brooks (1 shared paper)Adrian V. S. Hill (2 shared papers)Arturo Reyes‐Sandoval (2 shared papers)Jared Honeycutt (1 shared paper)
- Journals
- Expert Review of Vaccines (3 papers)Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (1 paper)Molecular Therapy (1 paper)Mini-Reviews in Medicinal Chemistry (1 paper)Immunologic Research (1 paper)
- Partner nations
- AustraliaUnited KingdomJapan
In The Last Decade
Choon-Kit Tang
9 papers receiving 399 citations
Peers
Comparison fields: 5 of 52
- Immunology 204
- Molecular Biology 239
- Microbiology 19
- Radiology, Nuclear Medicine and Imaging 51
- Virology 10
Countries citing papers authored by Choon-Kit Tang
This map shows the geographic impact of Choon-Kit Tang'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 Choon-Kit Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Choon-Kit Tang more than expected).
Fields of papers citing papers by Choon-Kit Tang
This network shows the impact of papers produced by Choon-Kit Tang. 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 Choon-Kit Tang. The network helps show where Choon-Kit Tang may publish in the future.
Co-authors
The 20 scholars most cited alongside Choon-Kit Tang, 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 | 2009 | 79 | |
| 2 | 2006 | 65 | |
| 3 | 2008 | 63 | |
| 4 | 2008 | 59 | |
| 5 | 2012 | 47 | |
| 6 | 2012 | 32 | |
| 7 | 2016 | 21 | |
| 8 | 2009 | 20 | |
| 9 | 2015 | 14 |
About Choon-Kit Tang
Choon-Kit Tang is a scholar working on Immunology, Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging and Virology, having authored 9 papers that have together received 400 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), RNA Interference and Gene Delivery (4 papers), Virus-based gene therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Response and Inflammation (2 papers), interferon and immune responses (1 paper) and Electrospun Nanofibers in Biomedical Applications (1 paper). The work is most often cited by research in Immunology (204 citations), Molecular Biology (239 citations), Microbiology (19 citations), Radiology, Nuclear Medicine and Imaging (51 citations) and Virology (10 citations). Choon-Kit Tang has collaborated with scholars based in Australia, United Kingdom and Japan. Frequent co-authors include Vasso Apostolopoulos, Geoffrey A. Pietersz, Dodie Pouniotis, Μαρία Κατσάρα, Nicole Brooks, Adrian V. S. Hill, Arturo Reyes‐Sandoval, Jared Honeycutt, Yvonne Perrie and Randip Kaur. Their work appears in journals such as Expert Review of Vaccines, Biochimica et Biophysica Acta (BBA) - Reviews on Cancer, Molecular Therapy, Mini-Reviews in Medicinal Chemistry and Immunologic Research.
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.