Man‐Hon Wong

1.2k total citations
29 papers, 812 citations indexed

About

Man‐Hon Wong is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Man‐Hon Wong has authored 29 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 4 papers in Pharmacology. Recurrent topics in Man‐Hon Wong's work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (7 papers) and Genomics and Chromatin Dynamics (6 papers). Man‐Hon Wong is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (7 papers) and Genomics and Chromatin Dynamics (6 papers). Man‐Hon Wong collaborates with scholars based in Hong Kong, China and France. Man‐Hon Wong's co-authors include Kwong‐Sak Leung, Hongjian Li, Pedro J. Ballester, Kwong‐Sak Leung, Xubin Zheng, Lixin Cheng, Marie C.M. Lin, Hsiang‐Fu Kung, Gang Lü and Yee Leung and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Man‐Hon Wong

29 papers receiving 805 citations

Peers

Man‐Hon Wong

CTM

ONCOL

PHARM

Tomohiro Sato Japan

Xinbin Zhao China

Anthony E. Klon United States

Rebecca Kusko United States

Ziaurrehman Tanoli Finland

Xichen Lian China

Matthew K. Matlock United States

Wenhui Wang China

Sulin Zhang China

Jiangming Sun Sweden

Tomohiro Sato Japan

Man‐Hon Wong

428 ×0.8

240 ×0.6

CTM

76 ×0.6

48 ×0.8

ONCOL

67 ×1.1

PHARM

Citations per year, relative to Man‐Hon Wong Man‐Hon Wong (= 1×) peers Tomohiro Sato

Countries citing papers authored by Man‐Hon Wong

Since Specialization

Citations

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

Fields of papers citing papers by Man‐Hon Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Man‐Hon Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Man‐Hon Wong. A scholar is included among the top collaborators of Man‐Hon 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 Man‐Hon Wong. Man‐Hon 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

Zheng, Xubin, Duo Chen, Jiarui Wu, et al.. (2024). scCaT: An explainable capsulating architecture for sepsis diagnosis transferring from single-cell RNA sequencing. PLoS Computational Biology. 20(10). e1012083–e1012083. 1 indexed citations

Li, Qizhi, Xubin Zheng, Ran Wang, et al.. (2023). bvnGPS: a generalizable diagnostic model for acute bacterial and viral infection using integrative host transcriptomics and pretrained neural networks. Bioinformatics. 39(3). 14 indexed citations

Wu, Qiong, Xubin Zheng, Kwong‐Sak Leung, et al.. (2022). meGPS: a multi-omics signature for hepatocellular carcinoma detection integrating methylome and transcriptome data. Bioinformatics. 38(14). 3513–3522. 27 indexed citations

Li, Haili, Xubin Zheng, Jing Gao, et al.. (2022). Whole transcriptome analysis reveals non-coding RNA's competing endogenous gene pairs as novel form of motifs in serous ovarian cancer. Computers in Biology and Medicine. 148. 105881–105881. 14 indexed citations

Zhu, Ying, Hongjian Li, Rong Su, et al.. (2021). Discovery of vanoxerine dihydrochloride as a CDK2/4/6 triple-inhibitor for the treatment of human hepatocellular carcinoma. Molecular Medicine. 27(1). 15–15. 12 indexed citations

Zheng, Xubin, Kwong‐Sak Leung, Man‐Hon Wong, & Lixin Cheng. (2021). Long non-coding RNA pairs to assist in diagnosing sepsis. BMC Genomics. 22(1). 275–275. 34 indexed citations

Zheng, Xubin, Qiong Wu, Kwong‐Sak Leung, et al.. (2021). Evaluating the Consistency of Gene Methylation in Liver Cancer Using Bisulfite Sequencing Data. Frontiers in Cell and Developmental Biology. 9. 671302–671302. 13 indexed citations

Li, Hongjian, Ghita Ghislat, Kwong‐Sak Leung, et al.. (2019). MolTarPred: A web tool for comprehensive target prediction with reliability estimation. Chemical Biology & Drug Design. 94(1). 1390–1401. 26 indexed citations

Li, Hongjian, Jiangjun Peng, Yee Leung, et al.. (2018). The Impact of Protein Structure and Sequence Similarity on the Accuracy of Machine-Learning Scoring Functions for Binding Affinity Prediction. Biomolecules. 8(1). 12–12. 39 indexed citations

10.

Li, Hongjian, Christy W.S. Tong, Yee Leung, et al.. (2017). Identification of Clinically Approved Drugs Indacaterol and Canagliflozin for Repurposing to Treat Epidermal Growth Factor Tyrosine Kinase Inhibitor-Resistant Lung Cancer. Frontiers in Oncology. 7. 288–288. 22 indexed citations

11.

Niu, Yanfen, Hongjian Li, Lihui Gao, et al.. (2017). Old drug, new indication: Olsalazine sodium reduced serum uric acid levels in mice via inhibiting xanthine oxidoreductase activity. Journal of Pharmacological Sciences. 135(3). 114–120. 12 indexed citations

12.

Dong, Chao, Runxiang Yang, Hongjian Li, et al.. (2017). Econazole nitrate inhibits PI3K activity and promotes apoptosis in lung cancer cells. Scientific Reports. 7(1). 17987–17987. 17 indexed citations

13.

Wu, Tung‐Ying, Fang‐Rong Chang, I‐Wen Lo, et al.. (2016). Rapid HPLC Quantification Approach for Detection of Active Constituents in Modern Combinatorial Formula, San-Huang-Xie-Xin-Tang (SHXXT). Frontiers in Pharmacology. 7. 374–374. 21 indexed citations

14.

Li, Hongjian, Kwong‐Sak Leung, Man‐Hon Wong, & Pedro J. Ballester. (2015). Low-Quality Structural and Interaction Data Improves Binding Affinity Prediction via Random Forest. Molecules. 20(6). 10947–10962. 77 indexed citations

15.

Li, Hongjian, Hong Yao, Xu Liu, et al.. (2015). In Silico Identification and In Vitro and In Vivo Validation of Anti-Psychotic Drug Fluspirilene as a Potential CDK2 Inhibitor and a Candidate Anti-Cancer Drug. PLoS ONE. 10(7). e0132072–e0132072. 56 indexed citations

16.

Li, Hongjian, Kwong‐Sak Leung, Man‐Hon Wong, & Pedro J. Ballester. (2015). Improving AutoDock Vina Using Random Forest: The Growing Accuracy of Binding Affinity Prediction by the Effective Exploitation of Larger Data Sets. Molecular Informatics. 34(2-3). 115–126. 178 indexed citations

17.

Li, Hongjian, Kwong‐Sak Leung, Pedro J. Ballester, & Man‐Hon Wong. (2014). istar: A Web Platform for Large-Scale Protein-Ligand Docking. PLoS ONE. 9(1). e85678–e85678. 96 indexed citations

18.

Wong, Man‐Hon, et al.. (2014). Discovering Binding Cores in Protein-DNA Binding Using Association Rule Mining with Statistical Measures. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 12(1). 142–154. 3 indexed citations

19.

Chan, Tak-Ming, Kwong‐Sak Leung, Kin-Hong Lee, et al.. (2012). Subtypes of associated protein–DNA (Transcription Factor-Transcription Factor Binding Site) patterns. Nucleic Acids Research. 40(19). 9392–9403. 5 indexed citations

20.

Chan, Tak-Ming, et al.. (2012). Predicting Approximate Protein-DNA Binding Cores Using Association Rule Mining. 1215. 965–976. 11 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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