Matthew Wong

2.6k total citations
21 papers, 536 citations indexed

About

Matthew Wong is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Matthew Wong has authored 21 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Neurology. Recurrent topics in Matthew Wong's work include Neuroblastoma Research and Treatments (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Epigenetics and DNA Methylation (3 papers). Matthew Wong is often cited by papers focused on Neuroblastoma Research and Treatments (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Epigenetics and DNA Methylation (3 papers). Matthew Wong collaborates with scholars based in Australia, United States and China. Matthew Wong's co-authors include Tao Liu, Patsie Polly, Charles Poole, Andrew E. Tee, Pei Y. Liu, Glenn M. Marshall, Bernard Atmadibrata, Stefan Hüttelmaier, Giorgio Milazzo and Nadim J. Ajami and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Matthew Wong

20 papers receiving 533 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Matthew Wong	323	167	70	50	33	21	536
Chao Jiang	193 0.6×	247 1.5×	45 0.6×	22 0.4×	14 0.4×	38	531
Xiaolin Peng	251 0.8×	132 0.8×	19 0.3×	49 1.0×	16 0.5×	29	586
Sheng Yao	283 0.9×	52 0.3×	33 0.5×	36 0.7×	53 1.6×	37	641
Laure‐Alix Clerbaux	339 1.0×	252 1.5×	32 0.5×	66 1.3×	11 0.3×	27	752
Rui Kang	353 1.1×	100 0.6×	19 0.3×	31 0.6×	39 1.2×	10	660
Deusdedit Tusubira	391 1.2×	201 1.2×	11 0.2×	63 1.3×	22 0.7×	38	618
Tianqi Xu	269 0.8×	145 0.9×	26 0.4×	44 0.9×	21 0.6×	44	478
Zhandong Li	311 1.0×	80 0.5×	14 0.2×	23 0.5×	14 0.4×	46	504
Tao Jiao	239 0.7×	60 0.4×	20 0.3×	48 1.0×	10 0.3×	16	485
Jiangtian Tian	345 1.1×	150 0.9×	16 0.2×	19 0.4×	23 0.7×	27	591

Countries citing papers authored by Matthew Wong

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Wong. 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 Matthew Wong. The network helps show where Matthew Wong may publish in the future.

Co-authorship network of co-authors of Matthew Wong

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

All Works

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20 of 20 papers shown

Meyer, A., et al.. (2025). The Mevalonate Pathway in the Radiation Response of Cancer. International Journal of Radiation Oncology*Biology*Physics. 123(1). 249–261.

Wong, Matthew, Zhi Wei Lim, Krithi Pushpanathan, et al.. (2023). Review of emerging trends and projection of future developments in large language models research in ophthalmology. British Journal of Ophthalmology. 108(10). 1362–1370. 21 indexed citations

Mu, Yao, Chanlu Xie, Ling Bi, et al.. (2022). Apigenin impedes cell cycle progression at G2 phase in prostate cancer cells. Discover Oncology. 13(1). 44–44. 11 indexed citations

Bhutiani, Neal, Matthew Wong, Matthew Lastrapes, et al.. (2022). VirMAP for Cancer: Characterization of the Intratumoral Virome in Virally-Associated Cancers and a Resource for Investigators. 1 indexed citations

Johnson, Sarah B., Golnaz Morad, Nadim J. Ajami, et al.. (2021). 838 The role of microbiota in metastatic brain tumors. SHILAP Revista de lepidopterología. A879–A879. 2 indexed citations

Tee, Andrew E., Matthew Wong, Jamie I. Fletcher, et al.. (2020). Combination therapy with the CDK7 inhibitor and the tyrosine kinase inhibitor exerts synergistic anticancer effects against MYCN‐amplified neuroblastoma. International Journal of Cancer. 147(7). 1928–1938. 27 indexed citations

Mu, Yao, Chanlu Xie, Guang‐Bo Ge, et al.. (2019). Transcriptional regulation of G2/M regulatory proteins and perturbation of G2/M Cell cycle transition by a traditional Chinese medicine recipe. Journal of Ethnopharmacology. 251. 112526–112526. 24 indexed citations

Wong, Matthew, et al.. (2019). Response to cannabidiol in epilepsy of infancy with migrating focal seizures associated with KCNT1 mutations: An open-label, prospective, interventional study. European Journal of Paediatric Neurology. 25. 77–81. 20 indexed citations

Bi, Ling, Chanlu Xie, Yao Mu, et al.. (2018). The histone chaperone complex FACT promotes proliferative switch of G₀ cancer cells. International Journal of Cancer. 145(1). 164–178. 23 indexed citations

10.

Wong, Matthew, Andrew E. Tee, Giorgio Milazzo, et al.. (2017). The Histone Methyltransferase DOT1L Promotes Neuroblastoma by Regulating Gene Transcription. Cancer Research. 77(9). 2522–2533. 53 indexed citations

11.

Sun, Yuting, Bernard Atmadibrata, Denise Yu, et al.. (2017). Upregulation of LYAR induces neuroblastoma cell proliferation and survival. Cell Death and Differentiation. 24(9). 1645–1654. 16 indexed citations

12.

He, Baokun, Kazunari Nohara, Nadim J. Ajami, et al.. (2015). Transmissible microbial and metabolomic remodeling by soluble dietary fiber improves metabolic homeostasis. Scientific Reports. 5(1). 10604–10604. 72 indexed citations

13.

Liu, Pei Y., Glenn M. Marshall, Andrew E. Tee, et al.. (2014). Effects of a Novel Long Noncoding RNA, lncUSMycN, on N-Myc Expression and Neuroblastoma Progression. JNCI Journal of the National Cancer Institute. 106(7). 89 indexed citations

14.

Atmadibrata, Bernard, Pei Y. Liu, Lihong Zhang, et al.. (2014). The Novel Long Noncoding RNA linc00467 Promotes Cell Survival but Is Down-Regulated by N-Myc. PLoS ONE. 9(2). e88112–e88112. 59 indexed citations

15.

Poole, Charles & Matthew Wong. (2013). Allergic bronchopulmonary aspergillosis in garden waste (compost) collectors--occupational implications. Occupational Medicine. 63(7). 517–519. 39 indexed citations

16.

Chen, Fanglin, Vincent De Sapio, Ann Gentile, et al.. (2010). Quantifying effectiveness of failure prediction and response in HPC systems: Methodology and example. 2–7. 9 indexed citations

17.

Brandt, Jim, Ann Gentile, Jackson Mayo, et al.. (2009). Methodologies for advance warning of compute cluster problems via statistical analysis. 7–14. 9 indexed citations

18.

Chim, Chor Sang, et al.. (2008). Pulmonary Interstitial Amyloidosis Complicating Multiple Myeloma. Journal of Clinical Oncology. 26(3). 504–506. 5 indexed citations

19.

Wong, Matthew, et al.. (2007). A Retrospective Study Examining the Socioeconomic Backgrounds of Women Undergoing Bilateral Breast Augmentation at a Private Independent Hospital in the United Kingdom. Aesthetic Plastic Surgery. 31(5). 566–569. 6 indexed citations

20.

Nihan, N L & Matthew Wong. (1995). Improved error detection using prediction techniques and video imaging. 1 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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