Ching Ching Ng

1.5k total citations
52 papers, 954 citations indexed

About

Ching Ching Ng is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Ching Ching Ng has authored 52 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 14 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Ching Ching Ng's work include Viral-associated cancers and disorders (7 papers), Epilepsy research and treatment (6 papers) and Genomics and Rare Diseases (5 papers). Ching Ching Ng is often cited by papers focused on Viral-associated cancers and disorders (7 papers), Epilepsy research and treatment (6 papers) and Genomics and Rare Diseases (5 papers). Ching Ching Ng collaborates with scholars based in Malaysia, Japan and Taiwan. Ching Ching Ng's co-authors include Hirofumi Arakawa, Shu Okamura, Yusuke Nakamura, Hiroshi Nakanishi, Yoichi Taya, Tomoaki Tanaka, Morito Monden, Kheng Seang Lim, Kek Heng Chua and Hisato Kondoh and has published in prestigious journals such as Molecular Cell, PLoS ONE and Water Research.

In The Last Decade

Ching Ching Ng

50 papers receiving 938 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching Ching Ng Malaysia 17 471 315 195 132 112 52 954
Melissa A. Merritt United States 17 373 0.8× 297 0.9× 184 0.9× 130 1.0× 99 0.9× 31 1.1k
James Kuo United States 14 378 0.8× 366 1.2× 125 0.6× 77 0.6× 152 1.4× 33 1.2k
Tomohiro Kondo Japan 18 357 0.8× 277 0.9× 137 0.7× 86 0.7× 154 1.4× 114 1.1k
Benjamin J. Thompson United States 11 901 1.9× 262 0.8× 191 1.0× 96 0.7× 222 2.0× 22 1.3k
Chang Su China 16 598 1.3× 226 0.7× 303 1.6× 63 0.5× 361 3.2× 57 1.2k
Amel Benammar Elgaaïed Tunisia 19 417 0.9× 190 0.6× 246 1.3× 234 1.8× 201 1.8× 49 1.0k
Erwin T. Waas Netherlands 9 629 1.3× 355 1.1× 381 2.0× 86 0.7× 90 0.8× 11 1.1k
Francesco Acquati Italy 22 654 1.4× 120 0.4× 222 1.1× 158 1.2× 190 1.7× 75 1.2k
P. De Angelis Norway 17 439 0.9× 326 1.0× 182 0.9× 203 1.5× 130 1.2× 37 1.3k
Rolf I. Carlson United States 25 601 1.3× 206 0.7× 221 1.1× 78 0.6× 169 1.5× 40 1.3k

Countries citing papers authored by Ching Ching Ng

Since Specialization
Citations

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

Fields of papers citing papers by Ching Ching Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ching Ching Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Ching Ching Ng. A scholar is included among the top collaborators of Ching Ching 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 Ching Ching Ng. Ching Ching Ng 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.
Lee, Choon Weng, Chui Wei Bong, Ching Ching Ng, et al.. (2024). Environmental factors that regulate Vibrio spp. abundance and community structure in tropical waters. 7(1). 1 indexed citations
2.
Chong, Huey Yi, Kheng Seang Lim, Si‐Lei Fong, et al.. (2023). Integrating real‐world data in cost‐effectiveness analysis of universal HLA‐B*15:02 screening in Malaysia. British Journal of Clinical Pharmacology. 89(11). 3340–3351. 3 indexed citations
3.
Anderson, Alison, Yi‐Wu Shi, Ching Ching Ng, et al.. (2022). Potential role of regulatory DNA variants in modifying the risk of severe cutaneous reactions induced by aromatic anti‐seizure medications. Epilepsia. 63(4). 936–949. 5 indexed citations
4.
Ng, Ching Ching, et al.. (2022). Gene expression profiling and in vitro functional studies reveal RAD54L as a potential therapeutic target in multiple myeloma. Genes & Genomics. 44(8). 957–966. 3 indexed citations
5.
6.
Lim, Kheng Seang, et al.. (2019). Whole exome sequencing identifies a novel SCN1A mutation in genetic (idiopathic) generalized epilepsy and juvenile myoclonic epilepsy subtypes. Neurological Sciences. 41(3). 591–598. 5 indexed citations
7.
Tsai, Meng‐Han, et al.. (2018). Molecular Genetic Characterization of Patients With Focal Epilepsy Using a Customized Targeted Resequencing Gene Panel. Frontiers in Neurology. 9. 515–515. 17 indexed citations
8.
Lim, Kheng Seang, et al.. (2017). HLA-A*31. Pharmacogenetics and Genomics. 27(7). 275–278. 31 indexed citations
9.
Ng, Ching Ching, et al.. (2017). MicroRNA expression patterns and target prediction in multiple myeloma development and malignancy. Genes & Genomics. 39(5). 533–540. 26 indexed citations
10.
Lim, Kheng Seang, et al.. (2016). Ethnic variation of genetic (idiopathic) generalized epilepsy in Malaysia. Seizure. 45. 24–27. 4 indexed citations
11.
Lim, Kheng Seang, Ai Huey Tan, Chun Shen Lim, et al.. (2015). R54C Mutation of NOTCH3 Gene in the First Rungus Family with CADASIL. PLoS ONE. 10(8). e0135470–e0135470. 5 indexed citations
12.
Hoe, Susan, et al.. (2014). Evaluation of stem-like side population cells in a recurrent nasopharyngeal carcinoma cell line. Cancer Cell International. 14(1). 101–101. 16 indexed citations
13.
Lim, Yat‐Yuen, et al.. (2014). Analysis of interleukin-10 promoter single nucleotide polymorphisms and risk of non-Hodgkin lymphoma in a Malaysian population. Leukemia & lymphoma. 56(1). 163–168. 10 indexed citations
14.
Lim, Chun Shen, et al.. (2012). On optimizing the blocking step of indirect enzyme-linked immunosorbent assay for Epstein-Barr virus serology. Clinica Chimica Acta. 415. 158–161. 7 indexed citations
15.
Mohidin, Taznim Begam Mohd, et al.. (2012). Epstein-Barr virus-encoded latent membrane protein-1 upregulates 14-3-3σ and Reprimo to confer G2/M phase cell cycle arrest. Comptes Rendus Biologies. 335(12). 713–721. 2 indexed citations
16.
Lee, Soon Leong, et al.. (2011). Isolation and characterization of microsatellite loci in an endangered palm, Johannesteijsmannia lanceolata (Arecaceae). American Journal of Botany. 98(5). e117–9. 3 indexed citations
17.
Chua, Kek Heng, et al.. (2009). Identification of NOD2/CARD15 mutations in Malaysian patients with Crohn's disease. Journal of Digestive Diseases. 10(2). 124–130. 45 indexed citations
18.
Sim, Edmund Ui‐Hang, et al.. (2009). Differential expression of a subset of ribosomal protein genes in cell lines derived from human nasopharyngeal epithelium. Journal of Human Genetics. 55(2). 118–120. 19 indexed citations
19.
Ng, Ching Ching, Hirofumi Arakawa, Seisuke Fukuda, Hisato Kondoh, & Yusuke Nakamura. (2003). p53RFP, a p53-inducible RING-finger protein, regulates the stability of p21WAF1. Oncogene. 22(28). 4449–4458. 47 indexed citations
20.
Okamura, Shu, Hirofumi Arakawa, Tomoaki Tanaka, et al.. (2001). p53DINP1, a p53-Inducible Gene, Regulates p53-Dependent Apoptosis. Molecular Cell. 8(1). 85–94. 290 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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