Nathan Ng

515 total citations
17 papers, 322 citations indexed

About

Nathan Ng is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Genetics. According to data from OpenAlex, Nathan Ng has authored 17 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Nathan Ng's work include Neuroscience and Neural Engineering (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Pluripotent Stem Cells Research (2 papers). Nathan Ng is often cited by papers focused on Neuroscience and Neural Engineering (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Pluripotent Stem Cells Research (2 papers). Nathan Ng collaborates with scholars based in United States, Canada and China. Nathan Ng's co-authors include Avnesh S. Thakor, Waldo Concepción, Mujib Ullah, Kristen W. Yeom, Asma Akbar, Diane K. O’Dowd, Jingyun Shi, Weimin Li, Jiangdian Song and Zaiyi Liu and has published in prestigious journals such as Cancer Research, Radiology and Science Translational Medicine.

In The Last Decade

Nathan Ng

15 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan Ng United States 11 109 83 66 46 42 17 322
Deependra Mahato United States 8 88 0.8× 38 0.5× 45 0.7× 26 0.6× 46 1.1× 18 350
Kedar Mahajan United States 12 113 1.0× 37 0.4× 57 0.9× 27 0.6× 29 0.7× 24 557
Carlos Trampal Spain 10 21 0.2× 126 1.5× 67 1.0× 34 0.7× 49 1.2× 22 366
Helle Juhl Simonsen Denmark 10 52 0.5× 182 2.2× 33 0.5× 35 0.8× 10 0.2× 18 494
Nicola Bertolino United States 13 84 0.8× 88 1.1× 25 0.4× 28 0.6× 14 0.3× 24 390
J. Mantil United States 8 102 0.9× 179 2.2× 44 0.7× 76 1.7× 43 1.0× 13 512
Si‐Jian Pan China 13 224 2.1× 38 0.5× 24 0.4× 19 0.4× 132 3.1× 26 481
Anuradha Krishnamurthy United States 12 131 1.2× 119 1.4× 45 0.7× 44 1.0× 25 0.6× 25 575
Hae Yu Kim South Korea 15 69 0.6× 34 0.4× 152 2.3× 69 1.5× 56 1.3× 44 551
Emily S. Norton United States 9 110 1.0× 26 0.3× 25 0.4× 50 1.1× 42 1.0× 16 274

Countries citing papers authored by Nathan Ng

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Ng

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

All Works

17 of 17 papers shown
1.
Kuo, Frank C., Nathan Ng, Erqi L. Pollom, et al.. (2022). DSC Perfusion MRI–Derived Fractional Tumor Burden and Relative CBV Differentiate Tumor Progression and Radiation Necrosis in Brain Metastases Treated with Stereotactic Radiosurgery. American Journal of Neuroradiology. 43(5). 689–695. 14 indexed citations
2.
3.
Ng, Nathan & Zain Hussain. (2022). The future of Artificial Intelligence in Ophthalmology. International Journal of Research Publication and Reviews. 458–459.
4.
Tam, Lydia, Nathan Ng, Emily McKenna, et al.. (2021). Effects of Age on White Matter Microstructure in Children With Neurofibromatosis Type 1. Journal of Child Neurology. 36(10). 894–900. 3 indexed citations
5.
Iv, Michael, Nathan Ng, Yi Zhang, et al.. (2020). Brain Iron Assessment after Ferumoxytol-enhanced MRI in Children and Young Adults with Arteriovenous Malformations: A Case-Control Study. Radiology. 297(2). 438–446. 7 indexed citations
6.
Moon, Peter K., Z. Jason Qian, Emily McKenna, et al.. (2020). Cerebral volume and diffusion MRI changes in children with sensorineural hearing loss. NeuroImage Clinical. 27. 102328–102328. 14 indexed citations
7.
Song, Jiangdian, Lu Wang, Nathan Ng, et al.. (2020). Development and Validation of a Machine Learning Model to Explore Tyrosine Kinase Inhibitor Response in Patients With Stage IV EGFR Variant–Positive Non–Small Cell Lung Cancer. JAMA Network Open. 3(12). e2030442–e2030442. 51 indexed citations
8.
Zheng, Jimmy, Jennifer Frankovich, Emily McKenna, et al.. (2020). Association of Pediatric Acute-Onset Neuropsychiatric Syndrome With Microstructural Differences in Brain Regions Detected via Diffusion-Weighted Magnetic Resonance Imaging. JAMA Network Open. 3(5). e204063–e204063. 34 indexed citations
9.
Ng, Nathan & Avnesh S. Thakor. (2020). Locoregional delivery of stem cell–based therapies. Science Translational Medicine. 12(547). 18 indexed citations
10.
11.
Ullah, Mujib, Nathan Ng, Waldo Concepción, & Avnesh S. Thakor. (2019). Emerging role of stem cell-derived extracellular microRNAs in age-associated human diseases and in different therapies of longevity. Ageing Research Reviews. 57. 100979–100979. 45 indexed citations
12.
Ng, Nathan, Olga Safrina, Kevin C. Ess, et al.. (2019). Comparisons of dual isogenic human iPSC pairs identify functional alterations directly caused by an epilepsy associated SCN1A mutation. Neurobiology of Disease. 134. 104627–104627. 27 indexed citations
13.
Ullah, Mujib, Asma Akbar, Nathan Ng, Waldo Concepción, & Avnesh S. Thakor. (2019). Mesenchymal stem cells confer chemoresistance in breast cancer via a CD9 dependent mechanism. Oncotarget. 10(37). 3435–3450. 44 indexed citations
14.
Schutte, Ryan J., et al.. (2017). Astrocyte-enriched feeder layers from cryopreserved cells support differentiation of spontaneously active networks of human iPSC-derived neurons. Journal of Neuroscience Methods. 294. 91–101. 13 indexed citations
15.
Schutte, Ryan J., et al.. (2017). Reproducible and efficient generation of functionally active neurons from human hiPSCs for preclinical disease modeling. Stem Cell Research. 26. 84–94. 17 indexed citations
16.
Hoonpongsimanont, Wirachin, et al.. (2017). Research Associates Program: Expanding clinical research productivity with undergraduate students. SAGE Open Medicine. 5. 2104802245–2104802245. 3 indexed citations
17.
Reedijk, Michael, Batya Cohen, Mamiko Shimizu, et al.. (2009). Cyclin D1 Is a Direct Target of JAG-Mediated Notch Signaling in Breast Cancer.. Cancer Research. 69(24_Supplement). 2150–2150. 4 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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Breakdown of academic impact, for papers by Deependra Mahato Breakdown of academic impact, for papers by Kedar Mahajan Breakdown of academic impact, for papers by Carlos Trampal Breakdown of academic impact, for papers by Helle Juhl Simonsen Breakdown of academic impact, for papers by Nicola Bertolino Breakdown of academic impact, for papers by J. Mantil Breakdown of academic impact, for papers by Si‐Jian Pan Breakdown of academic impact, for papers by Anuradha Krishnamurthy Breakdown of academic impact, for papers by Hae Yu Kim Breakdown of academic impact, for papers by Emily S. Norton
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2026