Kam M. Hui
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Toxicology top 0.5%
Papers in
-
- RNA Interference and Gene Delivery 19
- Immunology 50
- Immune Cell Function and Interaction 32
- Immunotherapy and Immune Responses 29
- T-cell and B-cell Immunology 28
- Co-authors
- London Lucien Ooi (20 shared papers)Hongping Xia (19 shared papers)Gautam Sethi (40 shared papers)Alan Prem Kumar (26 shared papers)Muthu K. Shanmugam (21 shared papers)Yeh Ching Linn (7 shared papers)Yuejun Kang (6 shared papers)Yafeng Wu (6 shared papers)
- Journals
- Gene Therapy (9 papers)International Journal of Cancer (8 papers)Cancer Gene Therapy (6 papers)Clinical Cancer Research (5 papers)Cancer Letters (5 papers)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Kam M. Hui
200 papers receiving 9.2k citations
Peers
Comparison fields: 5 of 137
- Cancer Research 2.1k
- Toxicology 317
- Immunology 1.8k
- Oncology 2.3k
- Molecular Biology 5.3k
Countries citing papers authored by Kam M. Hui
This map shows the geographic impact of Kam M. Hui'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 Kam M. Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kam M. Hui more than expected).
Fields of papers citing papers by Kam M. Hui
This network shows the impact of papers produced by Kam M. Hui. 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 Kam M. Hui. The network helps show where Kam M. Hui may publish in the future.
Co-authors
The 25 scholars most cited alongside Kam M. Hui, 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 201 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 328 | |
| 2 | 1984 | 302 | |
| 3 | 2012 | 247 | |
| 4 | 2016 | 230 | |
| 5 | 2012 | 194 | |
| 6 | 2013 | 191 | |
| 7 | 2019 | 183 | |
| 8 | 2016 | 174 | |
| 9 | 2010 | 162 | |
| 10 | 2013 | 160 | |
| 11 | 2014 | 150 | |
| 12 | 2014 | 149 | |
| 13 | 2015 | 148 | |
| 14 | 2012 | 147 | |
| 15 | 2007 | 143 | |
| 16 | 2014 | 137 | |
| 17 | 1995 | 133 | |
| 18 | 2013 | 127 | |
| 19 | 2015 | 126 | |
| 20 | 2011 | 125 |
About Kam M. Hui
Kam M. Hui is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Genetics, having authored 201 papers that have together received 9.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (32 papers), Immunotherapy and Immune Responses (29 papers), T-cell and B-cell Immunology (28 papers), Virus-based gene therapy research (20 papers), RNA Interference and Gene Delivery (19 papers), Cancer Mechanisms and Therapy (17 papers), Cytokine Signaling Pathways and Interactions (14 papers) and CAR-T cell therapy research (12 papers). The work is most often cited by research in Cancer Research (2.1k citations), Toxicology (317 citations), Immunology (1.8k citations), Oncology (2.3k citations) and Molecular Biology (5.3k citations). Kam M. Hui has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include London Lucien Ooi, Hongping Xia, Gautam Sethi, Alan Prem Kumar, Muthu K. Shanmugam, Yeh Ching Linn, Yuejun Kang, Yafeng Wu, Peng Xue and Frank Grosveld. Their work appears in journals such as Gene Therapy, International Journal of Cancer, Cancer Gene Therapy, Clinical Cancer Research and Cancer Letters.
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.