K.S. Wun
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Biotechnology top 5%
- Cancer Research and Treatments
Papers in
-
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 3
- Co-authors
- Dale I. Godfrey (4 shared papers)Jamie Rossjohn (4 shared papers)James McCluskey (3 shared papers)Gurdyal S. Besra (3 shared papers)Natalie A. Borg (2 shared papers)Lars Kjer‐Nielsen (2 shared papers)Daniel G. Pellicci (2 shared papers)Matthew C. J. Wilce (1 shared paper)
- Journals
- Trends in cancer (1 paper)Nature Communications (1 paper)Immunity (1 paper)Journal of Molecular Biology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- AustraliaSingaporeUnited Kingdom
In The Last Decade
K.S. Wun
11 papers receiving 958 citations
K.S. Wun's Hit Papers
Peers
Comparison fields: 5 of 76
- Immunology 662
- Biotechnology 118
- Oncology 168
- Physiology 23
- Molecular Biology 208
Countries citing papers authored by K.S. Wun
This map shows the geographic impact of K.S. Wun'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 K.S. Wun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.S. Wun more than expected).
Fields of papers citing papers by K.S. Wun
This network shows the impact of papers produced by K.S. Wun. 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 K.S. Wun. The network helps show where K.S. Wun may publish in the future.
Co-authors
The 25 scholars most cited alongside K.S. Wun, 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 | 2007 | 473 | |
| 2 | 2020 | 113 | |
| 3 | 2011 | 99 | |
| 4 | 2008 | 78 | |
| 5 | 2008 | 46 | |
| 6 | 2022 | 45 | |
| 7 | Engineered commensals for targeted nose-to-brain drug delivery Hit paper breakdown → | 2025 | 37 |
| 8 | 2012 | 33 | |
| 9 | 2024 | 32 | |
| 10 | 2008 | 9 | |
| 11 | 2022 | 6 |
About K.S. Wun
K.S. Wun is a scholar working on Immunology, Molecular Biology, Physiology, Biotechnology and Biomedical Engineering, having authored 11 papers that have together received 971 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Nanoplatforms for cancer theranostics (2 papers), Alzheimer's disease research and treatments (2 papers), Cancer Research and Treatments (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Computational Drug Discovery Methods (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Immunology (662 citations), Biotechnology (118 citations), Oncology (168 citations), Physiology (23 citations) and Molecular Biology (208 citations). K.S. Wun has collaborated with scholars based in Australia, Singapore and United Kingdom. Frequent co-authors include Dale I. Godfrey, Jamie Rossjohn, James McCluskey, Gurdyal S. Besra, Natalie A. Borg, Lars Kjer‐Nielsen, Daniel G. Pellicci, Matthew C. J. Wilce, Mandvi Bharadwaj and Matthew Wook Chang. Their work appears in journals such as Trends in cancer, Nature Communications, Immunity, Journal of Molecular Biology and Journal of Biological Chemistry.
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.