Eddie Chong

698 total citations
29 papers, 262 citations indexed

About

Eddie Chong is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Eddie Chong has authored 29 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Psychiatry and Mental health, 6 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Neurology. Recurrent topics in Eddie Chong's work include Dementia and Cognitive Impairment Research (20 papers), Neurological Disease Mechanisms and Treatments (5 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). Eddie Chong is often cited by papers focused on Dementia and Cognitive Impairment Research (20 papers), Neurological Disease Mechanisms and Treatments (5 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). Eddie Chong collaborates with scholars based in Singapore, China and United Kingdom. Eddie Chong's co-authors include Christopher Chen, Saima Hilal, Narayanaswamy Venketasubramanian, Xin Xu, M. Kamran Ikram, Simon L. Collinson, Willie Tan, Liwen Zhang, Juan Zhou and Bibek Gyanwali and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain and Stroke.

In The Last Decade

Eddie Chong

25 papers receiving 252 citations

Peers

Eddie Chong

PMH

NEURO

PHYSI

RNMI

Diyang Lyu China

Anthony G. Chesebro United States

Maria‐Eleni Dounavi United Kingdom

Rutger Heinen Netherlands

R. Schmidt Austria

Silvia Ingala Netherlands

Yu Hyun Park South Korea

Kirsty Lu United Kingdom

Simon Kang Seng Ting Singapore

Annebet Leeuwis Netherlands

Diyang Lyu China

Eddie Chong

70 ×0.7

PMH

49 ×0.8

NEURO

54 ×1.1

56 ×1.2

PHYSI

29 ×0.7

RNMI

Citations per year, relative to Eddie Chong Eddie Chong (= 1×) peers Diyang Lyu

Countries citing papers authored by Eddie Chong

Since Specialization

Citations

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

Fields of papers citing papers by Eddie Chong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eddie Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Eddie Chong. A scholar is included among the top collaborators of Eddie Chong 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 Eddie Chong. Eddie Chong 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

Chong, Eddie, et al.. (2025). Synergistic effect between cortical cerebral microinfarcts and brain atrophy on cognitive decline. Brain. 148(11). 3924–3934.

Chong, Eddie, et al.. (2025). Visit-to-visit blood pressure variability, brain MRI measures, and cognition in non-demented older adults. Hypertension Research. 49(3). 890–903.

Tham, Yih Chung, Simon Nusinovici, Ten Cheer Quek, et al.. (2025). A deep‐learning retinal aging biomarker for cognitive decline and incident dementia. Alzheimer s & Dementia. 21(3). e14601–e14601. 1 indexed citations

Tan, Eugene S.J., Lucia M. Li, Eddie Chong, et al.. (2025). U-shaped association of resting heart rate with cognitive decline. Brain Communications. 7(6). fcaf413–fcaf413.

Chong, Eddie, et al.. (2025). Effect of metabolic syndrome severity on cerebral haemodynamics and cognition in community-based cohort. Atherosclerosis. 409. 120472–120472.

Kong, Ru, Fang Ji, Joanna Su Xian Chong, et al.. (2025). Mind the Gap: Does Brain Age Improve Alzheimer’s Disease Prediction?. Human Brain Mapping. 46(12). e70276–e70276. 1 indexed citations

Tan, Eugene S.J., Siew Pang Chan, Yuek Ling Chai, et al.. (2024). Associations of Circulating Platelet Endothelial Cell Adhesion Molecule‐1 Levels With Progression of Cerebral Small‐Vessel Disease, Cognitive Decline, and Incident Dementia. Journal of the American Heart Association. 13(22). e035133–e035133. 4 indexed citations

Burkhart, Michael C., et al.. (2024). Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction. Scientific Reports. 14(1). 10755–10755. 1 indexed citations

Burkhart, Michael C., Peter Tiňo, Marcella Montagnese, et al.. (2024). Robust and interpretable AI-guided marker for early dementia prediction in real-world clinical settings. EClinicalMedicine. 74. 102725–102725. 11 indexed citations

10.

Li, Chi, Damon Wing Kee Wong, Bingyao Tan, et al.. (2024). Retinal thickness predicts the risk of cognitive decline over five years. Alzheimer s Research & Therapy. 16(1). 273–273. 2 indexed citations

11.

Mak, Elijah, Liwen Zhang, Chin Hong Tan, et al.. (2023). Longitudinal associations between β-amyloid and cortical thickness in mild cognitive impairment. Brain Communications. 5(4). fcad192–fcad192. 5 indexed citations

12.

Burkhart, Michael C., Marcella Montagnese, Joseph Giorgio, et al.. (2023). Validating the clinical utility of AI‐guided tools for early dementia prediction. Alzheimer s & Dementia. 19(S17). 1 indexed citations

13.

Xu, Xin, Eddie Chong, Nila A Sathe, et al.. (2022). The SINgapore GERiatric Intervention Study to Reduce Cognitive Decline and Physical Frailty (SINGER): Study Design and Protocol. The Journal of Prevention of Alzheimer s Disease. 9(1). 40–48. 12 indexed citations

14.

Chong, Eddie, et al.. (2022). Validation of the Informant Quick Dementia Rating System (QDRS) among Older Adults in Singapore. Journal of Alzheimer s Disease. 89(4). 1323–1330. 7 indexed citations

15.

Chen, Christopher, Chun Fan Lee, Qingshu Lu, et al.. (2021). NEURoaid II (MLC901) in cognitively Impaired not demenTEd patientS (NEURITES): A pilot double blind, placebo‐controlled randomized trial. Alzheimer s & Dementia Translational Research & Clinical Interventions. 7(1). e12161–e12161. 6 indexed citations

16.

Zhang, Liwen, Xi‐Nian Zuo, Kwun Kei Ng, et al.. (2020). Distinct BOLD variability changes in the default mode and salience networks in Alzheimer’s disease spectrum and associations with cognitive decline. Scientific Reports. 10(1). 6457–6457. 32 indexed citations

17.

Chong, Eddie, et al.. (2020). Psychometric Properties of the National Institute of Neurological Disorders and Stroke and Canadian Stroke Network Neuropsychological Battery in an Asian Older Adult Sample. Journal of the American Medical Directors Association. 21(6). 879–883.e1. 4 indexed citations

18.

Hilal, Saima, J. Matthijs Biesbroek, Henri A. Vrooman, et al.. (2020). The Impact of Strategic White Matter Hyperintensity Lesion Location on Language. American Journal of Geriatric Psychiatry. 29(2). 156–165. 10 indexed citations

19.

Fenwick, Eva, Alfred Tau Liang Gan, Ryan Eyn Kidd Man, et al.. (2020). Vision, vision-specific functioning and mobility, and their relationship with clinically assessed cognitive impairment. Age and Ageing. 50(4). 1236–1242. 3 indexed citations

20.

Xu, Xin, Saima Hilal, Simon L. Collinson, et al.. (2015). Association of Magnetic Resonance Imaging Markers of Cerebrovascular Disease Burden and Cognition. Stroke. 46(10). 2808–2814. 53 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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