Charlotte K.Y. Ng

14.8k total citations · 3 hit papers
120 papers, 6.5k citations indexed

About

Charlotte K.Y. Ng is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Charlotte K.Y. Ng has authored 120 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Cancer Research, 46 papers in Molecular Biology and 45 papers in Oncology. Recurrent topics in Charlotte K.Y. Ng's work include Cancer Genomics and Diagnostics (55 papers), Breast Lesions and Carcinomas (18 papers) and Breast Cancer Treatment Studies (18 papers). Charlotte K.Y. Ng is often cited by papers focused on Cancer Genomics and Diagnostics (55 papers), Breast Lesions and Carcinomas (18 papers) and Breast Cancer Treatment Studies (18 papers). Charlotte K.Y. Ng collaborates with scholars based in Switzerland, United States and Italy. Charlotte K.Y. Ng's co-authors include Jorge S. Reis‐Filho, Britta Weigelt, Salvatore Piscuoglio, Luigi Terracciano, Luciano G. Martelotto, Larry Norton, Matthias S. Matter, Markus H. Heim, Isaac García-Murillas and Mitch Dowsett and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Charlotte K.Y. Ng

118 papers receiving 6.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mutation tracking in circulating tumor DNA predicts relapse in early breast cancer

2015 814 citations Britta Weigelt, Charlotte K.Y. Ng et al. profile →
A framework to rank genomic alterations as targets for cancer precision medicine: the ESMO Scale for Clinical Actionability of molecular Targets (ESCAT)

2018 391 citations Joaquı́n Mateo, Debyani Chakravarty et al. Annals of Oncology profile →
Organoid Models of Human Liver Cancers Derived from Tumor Needle Biopsies

2018 339 citations Sandro Nuciforo, Matthias S. Matter et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charlotte K.Y. Ng Switzerland	42	3.5k	2.6k	2.4k	1.5k	1.4k	120	6.5k
Rohit Bhargava United States	41	2.4k 0.7×	2.8k 1.1×	1.6k 0.7×	1.2k 0.8×	1.1k 0.8×	171	5.5k
Salvatore Piscuoglio Switzerland	39	2.7k 0.8×	1.7k 0.6×	2.5k 1.1×	1.0k 0.7×	861 0.6×	133	5.3k
Rachael Natrajan United Kingdom	48	2.9k 0.8×	3.7k 1.4×	4.7k 2.0×	1.0k 0.7×	1.2k 0.9×	112	7.9k
Futoshi Akiyama Japan	41	2.7k 0.8×	2.5k 1.0×	1.7k 0.7×	635 0.4×	2.1k 1.5×	251	6.1k
Serban Dan Costa Germany	37	4.2k 1.2×	4.8k 1.9×	1.3k 0.5×	978 0.7×	1.7k 1.2×	103	7.6k
Hervé Bonnefoi France	31	2.5k 0.7×	2.8k 1.1×	1.6k 0.7×	994 0.7×	758 0.5×	135	5.0k
Kay Savage United Kingdom	42	2.1k 0.6×	2.6k 1.0×	2.8k 1.2×	647 0.4×	1.0k 0.8×	66	5.7k
Rinat Yerushalmi Israel	27	2.3k 0.7×	4.4k 1.7×	2.2k 0.9×	1.8k 1.2×	694 0.5×	119	6.7k
Ed Schuuring Netherlands	49	2.2k 0.6×	3.3k 1.3×	3.0k 1.3×	1.5k 1.0×	2.6k 1.9×	240	8.4k
Caterina Marchiò Italy	42	2.4k 0.7×	2.9k 1.1×	2.2k 0.9×	984 0.7×	1.2k 0.8×	163	5.8k

Countries citing papers authored by Charlotte K.Y. Ng

Since Specialization

Citations

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

Fields of papers citing papers by Charlotte K.Y. Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlotte K.Y. Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Charlotte K.Y. Ng. A scholar is included among the top collaborators of Charlotte K.Y. 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 Charlotte K.Y. Ng. Charlotte K.Y. 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

Akyürek, Nalân, Spasenija Savic Prince, Kirsten D. Mertz, et al.. (2024). Tracing Tumor Heterogeneity of Pleomorphic Carcinoma of the Lung. Journal of Thoracic Oncology. 19(9). 1284–1296. 2 indexed citations

Medo, Matúš, Charlotte K.Y. Ng, & Michaela Medová. (2024). A comprehensive comparison of tools for fitting mutational signatures. Nature Communications. 15(1). 9467–9467. 3 indexed citations

Sidler, Daniel, et al.. (2023). Investigation of Different Library Preparation and Tissue of Origin Deconvolution Methods for Urine and Plasma cfDNA Methylome Analysis. Diagnostics. 13(15). 2505–2505. 1 indexed citations

Ng, Charlotte K.Y., Eva Dazert, Mairene Coto‐Llerena, et al.. (2022). Integrative proteogenomic characterization of hepatocellular carcinoma across etiologies and stages. Nature Communications. 13(1). 2436–2436. 88 indexed citations

Srivatsa, Sumana, Hesam Montazeri, Mairene Coto‐Llerena, et al.. (2022). Discovery of synthetic lethal interactions from large-scale pan-cancer perturbation screens. Nature Communications. 13(1). 7748–7748. 16 indexed citations

Gallon, John, Mairene Coto‐Llerena, Caner Ercan, et al.. (2021). Epigenetic priming in chronic liver disease impacts the transcriptional and genetic landscapes of hepatocellular carcinoma. Molecular Oncology. 16(3). 665–682. 7 indexed citations

Montazeri, Hesam, Mairene Coto‐Llerena, Ehsan Zangene, et al.. (2021). Systematic identification of novel cancer genes through analysis of deep shRNA perturbation screens. Nucleic Acids Research. 49(15). 8488–8504. 6 indexed citations

Karkampouna, Sofia, Maria De Filippo, Charlotte K.Y. Ng, et al.. (2020). Stroma Transcriptomic and Proteomic Profile of Prostate Cancer Metastasis Xenograft Models Reveals Prognostic Value of Stroma Signatures. Cancers. 12(12). 3786–3786. 13 indexed citations

Zoni, Eugenio, Charlotte K.Y. Ng, Salvatore Piscuoglio, et al.. (2019). Therapeutic Targeting of CD146/MCAM Reduces Bone Metastasis in Prostate Cancer. Molecular Cancer Research. 17(5). 1049–1062. 21 indexed citations

10.

Zeindler, Jasmin, Raoul A. Droeser, Silvio Däster, et al.. (2019). Infiltration by myeloperoxidase-positive neutrophils is an independent prognostic factor in breast cancer. Breast Cancer Research and Treatment. 177(3). 581–589. 41 indexed citations

11.

Lee, Ju Youn, Michail Schizas, Felipe C. Geyer, et al.. (2018). Lobular Carcinomas In Situ Display Intralesion Genetic Heterogeneity and Clonal Evolution in the Progression to Invasive Lobular Carcinoma. Clinical Cancer Research. 25(2). 674–686. 39 indexed citations

12.

Montagna, Giacomo, Charlotte K.Y. Ng, Tatjana Vlajnic, et al.. (2018). Fibroepithelial Breast Lesion: When Sequencing Can Help to Make a Clinical Decision. A Case Report. Clinical Breast Cancer. 19(1). e1–e6. 4 indexed citations

13.

Garofoli, Andrea, Nadia Tosti, Manuela Lanzafame, et al.. (2018). Diagnostic Targeted Sequencing Panel for Hepatocellular Carcinoma Genomic Screening. Journal of Molecular Diagnostics. 20(6). 836–848. 13 indexed citations

14.

Mateo, Joaquı́n, Debyani Chakravarty, Rodrigo Dienstmann, et al.. (2018). A framework to rank genomic alterations as targets for cancer precision medicine: the ESMO Scale for Clinical Actionability of molecular Targets (ESCAT). Annals of Oncology. 29(9). 1895–1902. 391 indexed citations breakdown →

15.

Ng, Charlotte K.Y., François‐Clément Bidard, Salvatore Piscuoglio, et al.. (2017). Genetic Heterogeneity in Therapy-Naïve Synchronous Primary Breast Cancers and Their Metastases. Clinical Cancer Research. 23(15). 4402–4415. 83 indexed citations

16.

Ng, Charlotte K.Y., Salvatore Piscuoglio, Felipe C. Geyer, et al.. (2017). The Landscape of Somatic Genetic Alterations in Metaplastic Breast Carcinomas. Clinical Cancer Research. 23(14). 3859–3870. 110 indexed citations

17.

Bidard, François‐Clément, Charlotte K.Y. Ng, Paul Cottu, et al.. (2015). Response to dual HER2 blockade in a patient with HER3-mutant metastatic breast cancer. Annals of Oncology. 26(8). 1704–1709. 20 indexed citations

18.

Sakr, Rita A., Britta Weigelt, Sarat Chandarlapaty, et al.. (2014). PI3K Pathway Activation in High-Grade Ductal Carcinoma In Situ —Implications for Progression to Invasive Breast Carcinoma. Clinical Cancer Research. 20(9). 2326–2337. 39 indexed citations

19.

Ng, Charlotte K.Y., Britta Weigelt, Roger A’Hern, et al.. (2014). Predictive Performance of Microarray Gene Signatures: Impact of Tumor Heterogeneity and Multiple Mechanisms of Drug Resistance. Cancer Research. 74(11). 2946–2961. 15 indexed citations

20.

Endo‐Munoz, Liliana, A. Cumming, Danny Rickwood, et al.. (2010). Loss of Osteoclasts Contributes to Development of Osteosarcoma Pulmonary Metastases. Cancer Research. 70(18). 7063–7072. 63 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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