Ka‐Lok Ng

745 total citations
59 papers, 510 citations indexed

About

Ka‐Lok Ng is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Ka‐Lok Ng has authored 59 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 13 papers in Cancer Research and 12 papers in Computational Theory and Mathematics. Recurrent topics in Ka‐Lok Ng's work include Bioinformatics and Genomic Networks (19 papers), Computational Drug Discovery Methods (12 papers) and MicroRNA in disease regulation (9 papers). Ka‐Lok Ng is often cited by papers focused on Bioinformatics and Genomic Networks (19 papers), Computational Drug Discovery Methods (12 papers) and MicroRNA in disease regulation (9 papers). Ka‐Lok Ng collaborates with scholars based in Taiwan, Thailand and United States. Ka‐Lok Ng's co-authors include Chien‐Hung Huang, Jeffrey J. P. Tsai, Chi‐Ying F. Huang, Y‐h. Taguchi, Victor C. Kok, Jan‐Gowth Chang, Peter Mu‐Hsin Chang, Phillip C.‐Y. Sheu, Wen‐Tsong Hsieh and Chia-Wei Hsu and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Ka‐Lok Ng

53 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ka‐Lok Ng Taiwan	13	356	139	93	73	69	59	510
Zihan Guo China	12	283 0.8×	114 0.8×	104 1.1×	132 1.8×	59 0.9×	39	549
Ladislav Rampášek Canada	6	257 0.7×	153 1.1×	22 0.2×	71 1.0×	78 1.1×	8	532
Onur Sumer Canada	3	410 1.2×	73 0.5×	33 0.4×	29 0.4×	55 0.8×	3	603
Habib MotieGhader Iran	12	260 0.7×	91 0.7×	21 0.2×	117 1.6×	72 1.0×	20	445
Ziqi Pan China	13	263 0.7×	111 0.8×	20 0.2×	47 0.6×	48 0.7×	28	502
Zerrin Işık Türkiye	10	150 0.4×	69 0.5×	120 1.3×	135 1.8×	23 0.3×	32	410
Dong Yue Canada	4	462 1.3×	73 0.5×	30 0.3×	28 0.4×	74 1.1×	6	695
Shixiang Wan China	9	641 1.8×	86 0.6×	30 0.3×	110 1.5×	147 2.1×	12	842
Turki Turki Saudi Arabia	13	233 0.7×	110 0.8×	62 0.7×	175 2.4×	34 0.5×	53	550
Evangelos Karatzas Greece	12	298 0.8×	75 0.5×	28 0.3×	30 0.4×	19 0.3×	29	475

Countries citing papers authored by Ka‐Lok Ng

Since Specialization

Citations

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

Fields of papers citing papers by Ka‐Lok Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka‐Lok Ng. 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 Ka‐Lok Ng. The network helps show where Ka‐Lok Ng may publish in the future.

Co-authorship network of co-authors of Ka‐Lok Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Ka‐Lok Ng. A scholar is included among the top collaborators of Ka‐Lok Ng 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 Ka‐Lok Ng. Ka‐Lok Ng 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

Lee, Shan‐Chih, et al.. (2025). Use of hybrid quantum-classical algorithms for enhancing biomarker classification. PLoS ONE. 20(7). e0327928–e0327928.

Ng, Ka‐Lok, et al.. (2023). In silico Study of Clinical Prognosis Associated MicroRNAs for Patientswith Metastasis in Clear Cell Renal Carcinoma. Current Bioinformatics. 19(2). 174–192. 1 indexed citations

Sivadas, Ambily, Victor C. Kok, & Ka‐Lok Ng. (2022). Multi-omics analyses provide novel biological insights to distinguish lobular ductal types of invasive breast cancers. Breast Cancer Research and Treatment. 193(2). 361–379. 15 indexed citations

Huang, Chien‐Hung, et al.. (2022). Network subgraph-based approach for analyzing and comparing molecular networks. PeerJ. 10. e13137–e13137. 1 indexed citations

Ng, Ka‐Lok, et al.. (2022). Classification of Tumor Metastasis Data by Using Quantum kernel-based Algorithms. 351–354. 4 indexed citations

Huang, Chien‐Hung, et al.. (2021). Identifying Network Subgraph-Associated Essential Genes in Molecular Networks. 15(5). 71–77.

Tsai, Jeffrey J. P., et al.. (2021). A novel miRNA-based classification model of risks and stages for clear cell renal cell carcinoma patients. BMC Bioinformatics. 22(S10). 270–270. 20 indexed citations

Tu, Siang-Jyun, et al.. (2021). Construction and Validation of a Prognostic Gene-Based Model for Overall Survival Prediction in Hepatocellular Carcinoma Using an Integrated Statistical and Bioinformatic Approach. International Journal of Molecular Sciences. 22(4). 1632–1632. 11 indexed citations

Lin, Yu‐Hsien, Ya‐Hsin Hsiao, Ka‐Lok Ng, et al.. (2020). Physalin A attenuates inflammation through down-regulating c-Jun NH2 kinase phosphorylation/Activator Protein 1 activation and up-regulating the antioxidant activity. Toxicology and Applied Pharmacology. 402. 115115–115115. 25 indexed citations

10.

Ng, Ka‐Lok & Y‐h. Taguchi. (2020). Identification of miRNA signatures for kidney renal clear cell carcinoma using the tensor-decomposition method. Scientific Reports. 10(1). 15149–15149. 12 indexed citations

11.

Huang, Chien‐Hung, et al.. (2016). DNA methylation-regulated microRNA pathways in ovarian serous cystadenocarcinoma: A meta-analysis. Computational Biology and Chemistry. 65. 154–164. 9 indexed citations

12.

Korla, Praveen Kumar, Chien‐Hung Huang, Jeffrey J. P. Tsai, et al.. (2015). FARE-CAFE: a database of functional and regulatory elements of cancer-associated fusion events. Database. 2015. bav086–bav086. 11 indexed citations

13.

Tsai, Jeffrey J. P., et al.. (2014). Disturbance of Arabidopsis thaliana microRNA-regulated pathways by Xcc bacterial effector proteins. Amino Acids. 46(4). 953–961. 4 indexed citations

14.

Sheu, Phillip C.‐Y., et al.. (2013). The prediction of protein-protein interaction of A-thaliana and X-campestris pv. campestris based on protein domain and interolog approaches. Plant Omics. 6(6). 388–398. 3 indexed citations

15.

Huang, Chien‐Hung, et al.. (2013). Prediction of microRNA-regulated protein interaction pathways in Arabidopsis using machine learning algorithms. Computers in Biology and Medicine. 43(11). 1645–1652. 12 indexed citations

16.

Huang, Chien‐Hung, Szu-Yu Chou, & Ka‐Lok Ng. (2013). Improving protein complex classification accuracy using amino acid composition profile. Computers in Biology and Medicine. 43(9). 1196–1204. 3 indexed citations

17.

Chen, Yng‐Tay, Chang‐Ching Wei, Ka‐Lok Ng, et al.. (2013). Toll-like receptor 9 SNPs are susceptible to the development and progression of membranous glomerulonephritis: 27 years follow-up in Taiwan. Renal Failure. 35(10). 1370–1375. 12 indexed citations

18.

Ng, Ka‐Lok, et al.. (2010). Prediction of protein functions based on function–function correlation relations. Computers in Biology and Medicine. 40(3). 300–305. 64 indexed citations

19.

Ng, Ka‐Lok, et al.. (2007). Applications of domain–domain interactions in pathway study. Computational Biology and Chemistry. 32(2). 81–87. 1 indexed citations

20.

Ng, Ka‐Lok, et al.. (2006). Hierarchical Structure of the Protein-Protein Interaction Networks. Chinese Journal of Physics. 44(1). 67–77. 3 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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