Shi Ling Ng

773 total citations
11 papers, 324 citations indexed

About

Shi Ling Ng is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shi Ling Ng has authored 11 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shi Ling Ng's work include Epigenetics and DNA Methylation (2 papers), Pregnancy and preeclampsia studies (1 paper) and Genomics and Chromatin Dynamics (1 paper). Shi Ling Ng is often cited by papers focused on Epigenetics and DNA Methylation (2 papers), Pregnancy and preeclampsia studies (1 paper) and Genomics and Chromatin Dynamics (1 paper). Shi Ling Ng collaborates with scholars based in Singapore, United States and Germany. Shi Ling Ng's co-authors include Roger Foo, Matthew Ackers‐Johnson, Tingsen Benson Lim, Edita Aliwarga, Stephanie Sian, Rongrong Zhao, Justus Stenzig, John Bertin, Forbes D. Porter and Wilson Lek Wen Tan and has published in prestigious journals such as Circulation, Journal of Applied Ecology and Cardiovascular Research.

In The Last Decade

Shi Ling Ng

10 papers receiving 321 citations

Peers

Shi Ling Ng
Rita Carvalho Portugal
Nina E. de Groot Netherlands
Nassim E. Ajami United States
George Gardner United States
Geraldine E. Malana United States
Shi Ling Ng
Citations per year, relative to Shi Ling Ng Shi Ling Ng (= 1×) peers Lixiao Zhen

Countries citing papers authored by Shi Ling Ng

Since Specialization
Citations

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

Fields of papers citing papers by Shi Ling Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Ling Ng

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

All Works

11 of 11 papers shown
1.
Song, Xiao Ping, Shi Ling Ng, Eyleen L. K. Goh, et al.. (2025). A predictive approach to assess urban biodiversity and plan for future development scenarios. Journal of Applied Ecology. 62(11). 2882–2893.
2.
Anene-Nzelu, Chukwuemeka George, Peter Yiqing Li, Shi Ling Ng, et al.. (2022). 8‐Oxoguanine DNA Glycosylase (OGG1) Deficiency Exacerbates Doxorubicin‐Induced Cardiac Dysfunction. Oxidative Medicine and Cellular Longevity. 2022(1). 9180267–9180267. 2 indexed citations
3.
Xia, Xuejuan, Darel Wee Kiat Toh, Shi Ling Ng, et al.. (2021). Impact of following a healthy dietary pattern with co-consuming wolfberry on number and function of blood outgrowth endothelial cells from middle-aged and older adults. Food & Function. 13(1). 76–90. 7 indexed citations
4.
Lee, Dominic Paul, Wilson Lek Wen Tan, Chukwuemeka George Anene-Nzelu, et al.. (2019). Robust CTCF-Based Chromatin Architecture Underpins Epigenetic Changes in the Heart Failure Stress–Gene Response. Circulation. 139(16). 1937–1956. 35 indexed citations
5.
Lim, Tingsen Benson, Edita Aliwarga, Shi Ling Ng, et al.. (2019). Targeting the highly abundant circular RNA circSlc8a1 in cardiomyocytes attenuates pressure overload induced hypertrophy. Cardiovascular Research. 115(14). 1998–2007. 138 indexed citations
6.
Bernard, Jonathan Y., Shi Ling Ng, Natarajan Padmapriya, et al.. (2019). Associations of physical activity levels and screen time with oral glucose tolerance test profiles in Singaporean women of reproductive age actively trying to conceive: the S‐PRESTO study. Diabetic Medicine. 36(7). 888–897. 7 indexed citations
7.
Stenzig, Justus, Y. Schneeberger, Barbara Peters, et al.. (2018). Pharmacological inhibition of DNA methylation attenuates pressure overload-induced cardiac hypertrophy in rats. Journal of Molecular and Cellular Cardiology. 120. 53–63. 48 indexed citations
8.
Cougnoux, Antony, et al.. (2018). Necroptosis inhibition as a therapy for Niemann-Pick disease, type C1: Inhibition of RIP kinases and combination therapy with 2-hydroxypropyl-β-cyclodextrin. Molecular Genetics and Metabolism. 125(4). 345–350. 27 indexed citations
9.
Zhao, Rongrong, Matthew Ackers‐Johnson, Justus Stenzig, et al.. (2018). Targeting Chondroitin Sulfate Glycosaminoglycans to Treat Cardiac Fibrosis in Pathological Remodeling. Circulation. 137(23). 2497–2513. 43 indexed citations
10.
Li, Ming & Shi Ling Ng. (2014). Potentiating the Naturally Occurring Process for Repair of Damaged Heart. Current Pharmaceutical Design. 20(12). 1950–1963. 4 indexed citations
11.
Agarwal, Rachana, A. Loganath, A.C. Roy, et al.. (2000). Increased Expression of Interleukin-6 in Term Compared to the First Trimester Human Placental Villi. Hormone and Metabolic Research. 32(5). 164–168. 13 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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