Shaun Loong

532 total citations
10 papers, 129 citations indexed

About

Shaun Loong is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Shaun Loong has authored 10 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Molecular Biology. Recurrent topics in Shaun Loong's work include Obesity, Physical Activity, Diet (3 papers), Eating Disorders and Behaviors (2 papers) and Nuclear Receptors and Signaling (2 papers). Shaun Loong is often cited by papers focused on Obesity, Physical Activity, Diet (3 papers), Eating Disorders and Behaviors (2 papers) and Nuclear Receptors and Signaling (2 papers). Shaun Loong collaborates with scholars based in Singapore, United Kingdom and United States. Shaun Loong's co-authors include Nicholas Chew, Yip Han Chin, Georgios K. Dimitriadis, Roger Foo, Gwyneth Kong, Chaoxing Lin, Chin Meng Khoo, Mark Muthiah, Han Shi Jocelyn Chew and Mark Y. Chan and has published in prestigious journals such as Nature Genetics, Nutrients and Journal of Medical Internet Research.

In The Last Decade

Shaun Loong

10 papers receiving 128 citations

Peers

Shaun Loong

CCM

PHYSI

EPIDE

PHEOH

SURGE

Andrzej Raczkowski Poland

Injeong Shim South Korea

Kelsey Mayo United States

Yong Du China

Е. А. Смирнова Russia

Gudrun Veldre Estonia

Lorenzo Tinti Italy

Shivali Patel United States

O. R. Grigoryan Russia

Miguel E. Pinto Peru

Andrzej Raczkowski Poland

Shaun Loong

33 ×0.6

CCM

30 ×1.4

PHYSI

14 ×0.6

EPIDE

11 ×0.6

PHEOH

8 ×0.5

SURGE

Citations per year, relative to Shaun Loong Shaun Loong (= 1×) peers Andrzej Raczkowski

Countries citing papers authored by Shaun Loong

Since Specialization

Citations

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

Fields of papers citing papers by Shaun Loong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaun Loong

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

All Works

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10 of 10 papers shown

1.

Dalakoti, Mayank, Shaun Loong, Poay Huan Loh, et al.. (2024). Incorporating AI into cardiovascular diseases prevention–insights from Singapore. The Lancet Regional Health - Western Pacific. 48. 101102–101102. 14 indexed citations

2.

Chew, Han Shi Jocelyn, Nicholas Chew, Shaun Loong, et al.. (2024). Effectiveness of an Artificial Intelligence-Assisted App for Improving Eating Behaviors: Mixed Methods Evaluation. Journal of Medical Internet Research. 26. e46036–e46036. 17 indexed citations

3.

Tan, Benjamin Yong‐Qiang, Shaun Loong, Eric Jou, et al.. (2024). Exploring RNF213 in Ischemic Stroke and Moyamoya Disease: From Cellular Models to Clinical Insights. Biomedicines. 13(1). 17–17. 3 indexed citations

4.

Chong, Bryan, Jayanth Jayabaskaran, Rachel Goh, et al.. (2023). Epicardial Adipose Tissue Assessed by Computed Tomography and Echocardiography Are Associated With Adverse Cardiovascular Outcomes: A Systematic Review and Meta-Analysis. Circulation Cardiovascular Imaging. 16(5). e015159–e015159. 38 indexed citations

5.

Chew, Han Shi Jocelyn, Shaun Loong, Su Lin Lim, et al.. (2023). Socio-Demographic, Behavioral and Psychological Factors Associated with High BMI among Adults in a Southeast Asian Multi-Ethnic Society: A Structural Equation Model. Nutrients. 15(8). 1826–1826. 8 indexed citations

6.

Kong, Gwyneth, Yip Han Chin, Kannan Shankar, et al.. (2023). A two‐decade population‐based study on the effect of hypertension in the general population with obesity in the United States. Obesity. 31(3). 832–840. 13 indexed citations

7.

O’Sullivan, Jack W., Theresia M. Schnurr, Pagé C. Goddard, et al.. (2023). Genetic architecture of cardiac dynamic flow volumes. Nature Genetics. 56(2). 245–257. 12 indexed citations

8.

Zhang, Ka, et al.. (2023). Genetics in Ischemic Stroke: Current Perspectives and Future Directions. Journal of Cardiovascular Development and Disease. 10(12). 495–495. 8 indexed citations

9.

Chew, Han Shi Jocelyn, et al.. (2023). Effects of Plant-Based Diets on Anthropometric and Cardiometabolic Markers in Adults: An Umbrella Review. Nutrients. 15(10). 2331–2331. 10 indexed citations

10.

Chew, Nicholas, Shaun Loong, & Roger Foo. (2023). Epigenetics in cardiovascular health and disease. Progress in molecular biology and translational science. 197. 105–134. 6 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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