Nicholas Ng

1.8k total citations
19 papers, 721 citations indexed

About

Nicholas Ng is a scholar working on Molecular Biology, Reproductive Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nicholas Ng has authored 19 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Reproductive Medicine and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nicholas Ng's work include Pluripotent Stem Cells Research (4 papers), Reproductive Biology and Fertility (4 papers) and Allergic Rhinitis and Sensitization (3 papers). Nicholas Ng is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), Reproductive Biology and Fertility (4 papers) and Allergic Rhinitis and Sensitization (3 papers). Nicholas Ng collaborates with scholars based in United States, Australia and Switzerland. Nicholas Ng's co-authors include Mindy H. Hsieh, Jun Liu, Shifeng Pan, Joseph D. Growney, Ronald A. Meyer, Feng Cong, Steve Woolfenden, Glenda Batzer, Huai-Xiang Hao and Bo Lü and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Nicholas Ng

18 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Ng United States 13 447 199 94 88 77 19 721
Behzad Kharabi Masouleh United States 13 355 0.8× 161 0.8× 86 0.9× 81 0.9× 50 0.6× 36 691
R Tomek United States 8 600 1.3× 219 1.1× 92 1.0× 59 0.7× 74 1.0× 9 955
Masafumi Toyoshima Japan 18 494 1.1× 231 1.2× 145 1.5× 90 1.0× 117 1.5× 61 1.1k
Jeannine Diesch Australia 15 591 1.3× 155 0.8× 152 1.6× 152 1.7× 78 1.0× 20 852
Mark N. Jabbour Lebanon 18 230 0.5× 164 0.8× 135 1.4× 55 0.6× 90 1.2× 36 670
Brinda Alagesan United States 5 354 0.8× 189 0.9× 133 1.4× 97 1.1× 62 0.8× 6 702
Benjamin H. Fryer United States 8 343 0.8× 101 0.5× 138 1.5× 72 0.8× 46 0.6× 9 586
Mary A. Bewick Canada 13 225 0.5× 157 0.8× 80 0.9× 39 0.4× 29 0.4× 16 451
Paola Sterpetti Italy 9 378 0.8× 121 0.6× 51 0.5× 61 0.7× 123 1.6× 11 646
Mélanie Mestdagt Belgium 11 568 1.3× 382 1.9× 211 2.2× 159 1.8× 52 0.7× 13 1.0k

Countries citing papers authored by Nicholas Ng

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Ng

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

All Works

19 of 19 papers shown
1.
2.
Elias, Kevin M., et al.. (2023). Fertility restoration in mice with chemotherapy induced ovarian failure using differentiated iPSCs. EBioMedicine. 94. 104715–104715. 6 indexed citations
3.
Chen, Chih‐Wei, Christian Beyer, Jun Liu, et al.. (2017). Pharmacological inhibition of porcupine induces regression of experimental skin fibrosis by targeting Wnt signalling. Annals of the Rheumatic Diseases. 76(4). 773–778. 27 indexed citations
4.
Parasar, Parveen, Caitlin R. Sacha, Nicholas Ng, et al.. (2017). Differentiating mouse embryonic stem cells express markers of human endometrium. Reproductive Biology and Endocrinology. 15(1). 52–52. 14 indexed citations
5.
Lindsey, J. Suzanne, Behzad Gerami‐Naini, Jennifer L. Eaton, et al.. (2017). An Embryonic and Induced Pluripotent Stem Cell Model for Ovarian Granulosa Cell Development and Steroidogenesis. Reproductive Sciences. 25(5). 712–726. 18 indexed citations
6.
Ng, Nicholas, et al.. (2017). Induced Pluripotent Stem Cells from Ovarian Tissue. Current Protocols in Human Genetics. 95(1). 21.10.1–21.10.22. 4 indexed citations
7.
Choi, Jung Kyu, Rami El Assal, Nicholas Ng, et al.. (2017). Bio-inspired solute enables preservation of human oocytes using minimum volume vitrification. Journal of Tissue Engineering and Regenerative Medicine. 12(1). e142–e149. 11 indexed citations
8.
Dai, Cheng, Jun Liu, Dong Han, et al.. (2016). Discovery of Pyridinyl Acetamide Derivatives as Potent, Selective, and Orally Bioavailable Porcupine Inhibitors. ACS Medicinal Chemistry Letters. 7(7). 676–680. 44 indexed citations
9.
Anchan, Raymond M., J. Suzanne Lindsey, Nicholas Ng, et al.. (2015). Human IPSC-derived steroidogenic cells maintain endocrine function with extended culture in a microfluidic chip system. Fertility and Sterility. 104(3). e73–e73. 1 indexed citations
10.
Anchan, Raymond M., Behzad Gerami‐Naini, J. Suzanne Lindsey, et al.. (2015). Efficient Differentiation of Steroidogenic and Germ-Like Cells from Epigenetically-Related iPSCs Derived from Ovarian Granulosa Cells. PLoS ONE. 10(3). e0119275–e0119275. 16 indexed citations
11.
Anchan, Raymond M., Salil A. Lachke, Behzad Gerami‐Naini, et al.. (2014). Pax6- and Six3-Mediated Induction of Lens Cell Fate in Mouse and Human ES Cells. PLoS ONE. 9(12). e115106–e115106. 16 indexed citations
12.
Zhou, Zongxiang, Nicholas Ng, Mindy H. Hsieh, et al.. (2014). Identification of synthetic lethality of PRKDC in MYC-dependent human cancers by pooled shRNA screening. BMC Cancer. 14(1). 944–944. 35 indexed citations
13.
Jiang, Xiaomo, Huai-Xiang Hao, Joseph D. Growney, et al.. (2013). Inactivating mutations of RNF43 confer Wnt dependency in pancreatic ductal adenocarcinoma. Proceedings of the National Academy of Sciences. 110(31). 12649–12654. 325 indexed citations
14.
Liu, Jun, Kristen Johnson, Jie Li, et al.. (2011). Regenerative phenotype in mice with a point mutation in transforming growth factor β type I receptor ( TGFBR1 ). Proceedings of the National Academy of Sciences. 108(35). 14560–14565. 34 indexed citations
15.
Batzer, Glenda, et al.. (2010). Regulatory T Cells Contribute to Allergen Tolerance Induced by Daily Airway Immunostimulant Exposures. American Journal of Respiratory Cell and Molecular Biology. 44(3). 341–349. 10 indexed citations
16.
Ng, Nicholas, et al.. (2008). Airway House Dust Extract Exposures Modify Allergen-Induced Airway Hypersensitivity Responses by TLR4-Dependent and Independent Pathways. The Journal of Immunology. 181(4). 2925–2932. 26 indexed citations
17.
Batzer, Glenda, et al.. (2007). Using house dust extracts to understand the immunostimulatory activities of living environments. Immunobiology. 212(6). 491–498. 16 indexed citations
18.
Ng, Nicholas, et al.. (2006). House dust extracts have both TH2 adjuvant and tolerogenic activities. Journal of Allergy and Clinical Immunology. 117(5). 1074–1081. 39 indexed citations
19.
Huang, Kuan‐Chun, Dong Choon Park, Shu‐Kay Ng, et al.. (2005). Selenium binding protein 1 in ovarian cancer. International Journal of Cancer. 118(10). 2433–2440. 78 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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