Ching C. Lau
Impact in
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 1%
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
Papers in
-
- Cancer Genomics and Diagnostics 10
- Co-authors
- Dong‐Yan JinIrene Oi‐Lin NgChun‐Ming WongTsz‐Kwong ManKwok‐Fai SoLászló PerlakySusan G. HilsenbeckMurali Chintagumpala
- Journals
- Cancer Research (16 papers)Journal of Biological Chemistry (7 papers)PLoS ONE (5 papers)Clinical Cancer Research (4 papers)Neuro-Oncology (4 papers)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Ching C. Lau
153 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Cancer Research 1.8k
- Oncology 2.0k
- Genetics 758
- Molecular Biology 4.8k
- Developmental Neuroscience 272
Countries citing papers authored by Ching C. Lau
This map shows the geographic impact of Ching C. Lau'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 Ching C. Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching C. Lau more than expected).
Fields of papers citing papers by Ching C. Lau
This network shows the impact of papers produced by Ching C. Lau. 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 Ching C. Lau. The network helps show where Ching C. Lau may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching C. Lau, 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 | 2024 | 1 | |
| 2 | 2021 | 14 | |
| 3 | 2016 | 35 | |
| 4 | 2016 | 29 | |
| 5 | 2015 | 18 | |
| 6 | Comprehensive Genomic Analysis Identifies Novel Subtypes and Targets of Triple-Negative Breast Cancer Hit paper breakdown → | 2014 | 936 |
| 7 | 2013 | 72 | |
| 8 | 2012 | 180 | |
| 9 | 2011 | 69 | |
| 10 | 2010 | 5 | |
| 11 | 2010 | 21 | |
| 12 | 2008 | 26 | |
| 13 | 2007 | 112 | |
| 14 | Roles and regulations of Rho-kinases in hepatocellular carcinoma | 2007 | 1 |
| 15 | 2005 | 107 | |
| 16 | 2005 | 44 | |
| 17 | 2005 | 174 | |
| 18 | 2004 | 25 | |
| 19 | 2000 | 34 | |
| 20 | 1991 | 12 |
About Ching C. Lau
Ching C. Lau is a scholar working on Cancer Research, Developmental Neuroscience, Molecular Biology, Cell Biology and Oncology, having authored 155 papers that have together received 8.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (25 papers), Microtubule and mitosis dynamics (20 papers), Glioma Diagnosis and Treatment (13 papers), Ubiquitin and proteasome pathways (13 papers), Genomics and Chromatin Dynamics (12 papers), Protein Kinase Regulation and GTPase Signaling (12 papers), DNA Repair Mechanisms (11 papers) and Cancer Genomics and Diagnostics (10 papers). The work is most often cited by research in Cancer Research (1.8k citations), Oncology (2.0k citations), Genetics (758 citations), Molecular Biology (4.8k citations) and Developmental Neuroscience (272 citations). Ching C. Lau has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Dong‐Yan Jin, Irene Oi‐Lin Ng, Chun‐Ming Wong, Tsz‐Kwong Man, Kwok‐Fai So, László Perlaky, Susan G. Hilsenbeck, Murali Chintagumpala, Matthew D. Burstein and Joyce Man‐Fong Lee. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, PLoS ONE, Clinical Cancer Research and Neuro-Oncology.
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.