John M. Luk
Impact in
- Hepatology top 0.5%
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Wnt/β-catenin signaling in development and cancer 18
- Heat shock proteins research 10
- Hepatology 25
- Hepatocellular Carcinoma Treatment and Prognosis 10
- Liver physiology and pathology 9
- Co-authors
- Angela M. Liu (16 shared papers)George Lau (22 shared papers)Ronnie T. P. Poon (17 shared papers)Lars Zender (5 shared papers)Kwong‐Fai Wong (17 shared papers)Zhi Xu (12 shared papers)Nikki P. Lee (30 shared papers)Scott W. Lowe (4 shared papers)
In The Last Decade
John M. Luk
182 papers receiving 9.9k citations
John M. Luk's Hit Papers
Peers
Comparison fields: 5 of 155
- Hepatology 1.1k
- Cancer Research 1.6k
- Cell Biology 1.7k
- Molecular Biology 4.9k
- Oncology 1.3k
Countries citing papers authored by John M. Luk
This map shows the geographic impact of John M. Luk'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 John M. Luk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Luk more than expected).
Fields of papers citing papers by John M. Luk
This network shows the impact of papers produced by John M. Luk. 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 John M. Luk. The network helps show where John M. Luk may publish in the future.
Co-authors
The 25 scholars most cited alongside John M. Luk, 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 186 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification and Validation of Oncogenes in Liver Cancer Using an Integrative Oncogenomic Approach Hit paper breakdown → | 2006 | 892 |
| 2 | Silver Nanoparticles Inhibit Hepatitis B virus Replication Hit paper breakdown → | 2008 | 512 |
| 3 | 2009 | 429 | |
| 4 | 2006 | 366 | |
| 5 | 2008 | 358 | |
| 6 | 2010 | 207 | |
| 7 | 2013 | 205 | |
| 8 | 2012 | 200 | |
| 9 | 2010 | 199 | |
| 10 | 2011 | 184 | |
| 11 | 2010 | 167 | |
| 12 | 2006 | 158 | |
| 13 | 2014 | 158 | |
| 14 | 2012 | 146 | |
| 15 | 2007 | 140 | |
| 16 | 2005 | 133 | |
| 17 | 2011 | 132 | |
| 18 | 2011 | 127 | |
| 19 | 2002 | 123 | |
| 20 | 2011 | 122 |
About John M. Luk
John M. Luk is a scholar working on Molecular Biology, Hepatology, Epidemiology, Oncology and Cell Biology, having authored 186 papers that have together received 10.1k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (18 papers), Hepatitis B Virus Studies (13 papers), Liver Disease Diagnosis and Treatment (13 papers), Bacteriophages and microbial interactions (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Hippo pathway signaling and YAP/TAZ (10 papers), Heat shock proteins research (10 papers) and Liver physiology and pathology (9 papers). The work is most often cited by research in Hepatology (1.1k citations), Cancer Research (1.6k citations), Cell Biology (1.7k citations), Molecular Biology (4.9k citations) and Oncology (1.3k citations). John M. Luk has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Angela M. Liu, George Lau, Ronnie T. P. Poon, Lars Zender, Kwong‐Fai Wong, Zhi Xu, Nikki P. Lee, Scott W. Lowe, Sheung Tat Fan and Irene Oi‐Lin Ng. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Clinical Microbiology, Cancer Research, Liver International and PLoS ONE.
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.