Chi Tat Lam

2.1k total citations · 1 hit paper
12 papers, 1.6k citations indexed

About

Chi Tat Lam is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Chi Tat Lam has authored 12 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Chi Tat Lam's work include Liver physiology and pathology (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Cancer Cells and Metastasis (3 papers). Chi Tat Lam is often cited by papers focused on Liver physiology and pathology (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Cancer Cells and Metastasis (3 papers). Chi Tat Lam collaborates with scholars based in Hong Kong and China. Chi Tat Lam's co-authors include Zhen Yang, Chi Keung Marco Lau, Sheung Tat Fan, David Ho, Patricia Ngai, Michael Ng, Wan Yu, Ronnie T. P. Poon, Patrick Chu and Ka Ho Tam and has published in prestigious journals such as PLoS ONE, Hepatology and Cancer Cell.

In The Last Decade

Chi Tat Lam

12 papers receiving 1.6k citations

Hit Papers

Significance of CD90+ Cancer Stem Cells in Human Liver Ca... 2008 2026 2014 2020 2008 250 500 750

Peers

Chi Tat Lam
Nikolaos A. Dallas United States
Mark J. Hynes United States
Rebecca S. Muraoka United States
Evangeline Mose United States
Yuen Piu Chan Hong Kong
Liqin Zhu United States
Matthew T. Harbison United States
Yongping Crawford United States
Chi Tat Lam
Citations per year, relative to Chi Tat Lam Chi Tat Lam (= 1×) peers Peng–Yuan Zhuang

Countries citing papers authored by Chi Tat Lam

Since Specialization
Citations

This map shows the geographic impact of Chi Tat Lam'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 Chi Tat Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Tat Lam more than expected).

Fields of papers citing papers by Chi Tat Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi Tat Lam. 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 Chi Tat Lam. The network helps show where Chi Tat Lam may publish in the future.

Co-authorship network of co-authors of Chi Tat Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Chi Tat Lam. A scholar is included among the top collaborators of Chi Tat Lam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chi Tat Lam. Chi Tat Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Ho, David, Zhen Yang, Yi Kang, et al.. (2012). Gene Expression Profiling of Liver Cancer Stem Cells by RNA-Sequencing. PLoS ONE. 7(5). e37159–e37159. 75 indexed citations
2.
Yang, Zhen, Michael Ng, David Ho, et al.. (2008). Significance of local and circulating cancer stem cells in human liver cancer. Cancer Research. 68. 4591–4591. 2 indexed citations
3.
Tam, Ka Ho, Zhen Yang, Chi Keung Marco Lau, et al.. (2008). Inhibition of mTOR enhances chemosensitivity in hepatocellular carcinoma. Cancer Letters. 273(2). 201–209. 59 indexed citations
4.
Yang, Zhen, Patricia Ngai, David Ho, et al.. (2008). Identification of local and circulating cancer stem cells in human liver cancer. Hepatology. 47(3). 919–928. 279 indexed citations
5.
Yang, Zhen, David Ho, Michael Ng, et al.. (2008). Significance of CD90+ Cancer Stem Cells in Human Liver Cancer. Cancer Cell. 13(2). 153–166. 963 indexed citations breakdown →
6.
Yang, Zhen, Patricia Ngai, David Ho, et al.. (2007). Induction of Long-Term Liver Allograft Survival by Delayed Immunosuppression is Dependent on Interleukin-10. Liver Transplantation. 13(4). 571–578. 6 indexed citations
7.
Lau, Chi Keung Marco, Zhen Yang, Chi Tat Lam, et al.. (2007). Inhibition of Stat3 activity by YC-1 enhances chemo-sensitivity in hepatocellular carcinoma. Cancer Biology & Therapy. 6(12). 1900–1907. 50 indexed citations
8.
Yang, Zhen, David Ho, Chi Keung Marco Lau, et al.. (2006). Platelet activation during tumor development, the potential role of BDNF–TrkB autocrine loop. Biochemical and Biophysical Research Communications. 346(3). 981–985. 28 indexed citations
9.
Lau, Chi Keung Marco, Zhen Yang, Chi Tat Lam, et al.. (2006). Suppression of hypoxia inducible factor-1α (HIF-1α) by YC-1 is dependent on murine double minute 2 (Mdm2). Biochemical and Biophysical Research Communications. 348(4). 1443–1448. 40 indexed citations
10.
Yang, Zhen, Ronnie T.P. Poon, Yuqing Liu, et al.. (2006). High doses of tyrosine kinase inhibitor PTK787 enhance the efficacy of ischemic hypoxia for the treatment of hepatocellular carcinoma: dual effects on cancer cell and angiogenesis. Molecular Cancer Therapeutics. 5(9). 2261–2270. 20 indexed citations
11.
Yang, Zhen, David Ho, Chi Keung Marco Lau, et al.. (2005). Allograft inflammatory factor-1 (AIF-1) is crucial for the survival and pro-inflammatory activity of macrophages. International Immunology. 17(11). 1391–1397. 110 indexed citations
12.
Lam, Chi Tat, et al.. (2002). Loss of heterozygosity on chromosome 11 in esophageal squamous cell carcinomas. Cancer Letters. 178(1). 75–81. 14 indexed citations

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.

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