Mei‐Sze Chua

7.0k total citations · 2 hit papers
55 papers, 4.0k citations indexed

About

Mei‐Sze Chua is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Mei‐Sze Chua has authored 55 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 14 papers in Oncology and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Mei‐Sze Chua's work include Cancer Mechanisms and Therapy (7 papers), Synthesis and biological activity (6 papers) and Wnt/β-catenin signaling in development and cancer (6 papers). Mei‐Sze Chua is often cited by papers focused on Cancer Mechanisms and Therapy (7 papers), Synthesis and biological activity (6 papers) and Wnt/β-catenin signaling in development and cancer (6 papers). Mei‐Sze Chua collaborates with scholars based in United States, China and United Kingdom. Mei‐Sze Chua's co-authors include Samuel So, Tracey D. Bradshaw, Wei Wei, Minnie Sarwal, Malcolm F. G. Stevens, Oscar Salvatierra, Szu‐Chuan Hsieh, Thomas Satterwhite, Ian Hutchinson and Neeraja Kambham and has published in prestigious journals such as Nature, New England Journal of Medicine and Nature Communications.

In The Last Decade

Mei‐Sze Chua

55 papers receiving 3.9k citations

Hit Papers

Molecular Heterogeneity i... 2003 2026 2010 2018 2003 2017 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mei‐Sze Chua United States 33 2.1k 698 682 585 438 55 4.0k
Timothy Madden United States 37 2.1k 1.0× 164 0.2× 714 1.0× 1.6k 2.8× 81 0.2× 108 4.8k
Raymond J. Hohl United States 40 2.3k 1.1× 416 0.6× 818 1.2× 1.5k 2.6× 25 0.1× 138 4.9k
Jill Kolesar United States 37 2.0k 1.0× 282 0.4× 620 0.9× 1.8k 3.0× 33 0.1× 192 4.3k
Paul Statkevich United States 35 1.6k 0.8× 163 0.2× 646 0.9× 2.1k 3.5× 55 0.1× 92 4.8k
Paul W. Manley Switzerland 50 3.4k 1.6× 1.2k 1.8× 337 0.5× 2.0k 3.4× 38 0.1× 153 10.6k
Jan H. Beumer United States 40 2.3k 1.1× 189 0.3× 489 0.7× 2.1k 3.6× 33 0.1× 234 4.8k
Joseph Ciccolini France 36 1.6k 0.8× 114 0.2× 677 1.0× 2.4k 4.1× 57 0.1× 196 4.5k
Grace K. Dy United States 37 2.3k 1.1× 178 0.3× 644 0.9× 2.3k 3.9× 23 0.1× 213 4.7k
M. E. Scheulen Germany 36 2.3k 1.1× 409 0.6× 734 1.1× 2.6k 4.5× 16 0.0× 178 5.5k
Daniel L. Dexter United States 35 2.0k 1.0× 497 0.7× 1.1k 1.6× 1.4k 2.3× 19 0.0× 86 4.0k

Countries citing papers authored by Mei‐Sze Chua

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Sze Chua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Sze Chua. 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 Mei‐Sze Chua. The network helps show where Mei‐Sze Chua may publish in the future.

Co-authorship network of co-authors of Mei‐Sze Chua

This figure shows the co-authorship network connecting the top 25 collaborators of Mei‐Sze Chua. A scholar is included among the top collaborators of Mei‐Sze Chua 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 Mei‐Sze Chua. Mei‐Sze Chua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tan, Mingdian, Ye Wei, Yi Liu, et al.. (2025). Niclosamide prodrug enhances oral bioavailability and efficacy against hepatocellular carcinoma by targeting vasorin‐TGFβ signalling. British Journal of Pharmacology. 182(22). 5517–5535. 1 indexed citations
2.
Liu, Yi, David Lechuga‐Ballesteros, Mingdian Tan, et al.. (2024). Lipid-Based Self-Microemulsion of Niclosamide Achieved Enhanced Oral Delivery and Anti-Tumor Efficacy in Orthotopic Patient-Derived Xenograft of Hepatocellular Carcinoma in Mice. International Journal of Nanomedicine. Volume 19. 2639–2653. 7 indexed citations
3.
Ma, Li, Wei Wei, Yi Liu, et al.. (2023). Identification and validation of microtubule depolymerizing agent, CYT997, as a potential drug candidate for hepatocellular carcinoma. Liver International. 43(12). 2794–2807. 1 indexed citations
4.
Xing, Jing, Rama Shankar, Meehyun Ko, et al.. (2022). Deciphering COVID-19 host transcriptomic complexity and variations for therapeutic discovery against new variants. iScience. 25(10). 105068–105068. 1 indexed citations
5.
Natarajan, Arutselvan, Hui Zhang, Ye Wei, et al.. (2021). A Humanized Anti-GPC3 Antibody for Immuno-Positron Emission Tomography Imaging of Orthotopic Mouse Model of Patient-Derived Hepatocellular Carcinoma Xenografts. Cancers. 13(16). 3977–3977. 19 indexed citations
7.
Chen, Bin, Lana X. Garmire, Diego F. Calvisi, et al.. (2020). Publisher Correction: Harnessing big ‘omics’ data and AI for drug discovery in hepatocellular carcinoma. Nature Reviews Gastroenterology & Hepatology. 2 indexed citations
8.
Chen, Bin, Lana X. Garmire, Diego F. Calvisi, et al.. (2020). Harnessing big ‘omics’ data and AI for drug discovery in hepatocellular carcinoma. Nature Reviews Gastroenterology & Hepatology. 17(4). 238–251. 102 indexed citations
9.
Zhang, Mao, Shihai Liu, Mei‐Sze Chua, et al.. (2019). SOCS5 inhibition induces autophagy to impair metastasis in hepatocellular carcinoma cells via the PI3K/Akt/mTOR pathway. Cell Death and Disease. 10(8). 612–612. 102 indexed citations
10.
Zhang, Mao, Mei‐Sze Chua, Jie Hu, et al.. (2019). <p>High Inflammatory Factor Grading Predicts Poor Disease-Free Survival in AJCC Stage I-II Hepatocellular Carcinoma Patients After R0 Resection</p>. Cancer Management and Research. Volume 11. 10623–10632. 1 indexed citations
11.
Chen, Bin, Li Ma, Harikrishna Paik, et al.. (2017). Reversal of cancer gene expression correlates with drug efficacy and reveals therapeutic targets. Nature Communications. 8(1). 16022–16022. 140 indexed citations
12.
Kim, Hak Kyun, Gabriele Fuchs, Shengchun Wang, et al.. (2017). A transfer-RNA-derived small RNA regulates ribosome biogenesis. Nature. 552(7683). 57–62. 405 indexed citations breakdown →
14.
Lü, Wenjing, Mei‐Sze Chua, & Samuel So. (2013). Suppressing N-Myc downstream regulated gene 1 reactivates senescence signaling and inhibits tumor growth in hepatocellular carcinoma. Carcinogenesis. 35(4). 915–922. 47 indexed citations
15.
Yen, Yi‐Fen, Mei‐Sze Chua, Lei Xing, et al.. (2010). In vivo MRSI of hyperpolarized [1‐13C]pyruvate metabolism in rat hepatocellular carcinoma. NMR in Biomedicine. 24(5). 506–513. 49 indexed citations
16.
Yan, Xinrui, Mei‐Sze Chua, Jing He, & Samuel So. (2008). Small interfering RNA targeting CDC25B inhibits liver tumor growth in vitro and in vivo. Molecular Cancer. 7(1). 19–19. 26 indexed citations
17.
Yao, Chen, Ying Lin, Mei‐Sze Chua, et al.. (2007). Interleukin‐8 modulates growth and invasiveness of estrogen receptor‐negative breast cancer cells. International Journal of Cancer. 121(9). 1949–1957. 109 indexed citations
18.
Fong, Chee Wai, Mei‐Sze Chua, Arthur B. McKie, et al.. (2006). Sprouty 2, an Inhibitor of Mitogen-Activated Protein Kinase Signaling, Is Down-Regulated in Hepatocellular Carcinoma. Cancer Research. 66(4). 2048–2058. 131 indexed citations
19.
Chua, Mei‐Sze, ST Cheung, Veronica Mason, et al.. (2006). Overexpression of NDRG1 is an indicator of poor prognosis in hepatocellular carcinoma. Modern Pathology. 20(1). 76–83. 101 indexed citations
20.
Chua, Mei‐Sze, Christopher T. Barry, Oscar Salvatierra, & Minnie Sarwal. (2003). Molecular Profiling of Anemia in Acute Renal Allograft Rejection Using DNA Microarrays. American Journal of Transplantation. 3(1). 17–22. 35 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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