See Ling Loy

2.7k total citations
113 papers, 1.6k citations indexed

About

See Ling Loy is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, See Ling Loy has authored 113 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Public Health, Environmental and Occupational Health, 46 papers in Pediatrics, Perinatology and Child Health and 46 papers in Obstetrics and Gynecology. Recurrent topics in See Ling Loy's work include Gestational Diabetes Research and Management (39 papers), Birth, Development, and Health (34 papers) and Obesity, Physical Activity, Diet (26 papers). See Ling Loy is often cited by papers focused on Gestational Diabetes Research and Management (39 papers), Birth, Development, and Health (34 papers) and Obesity, Physical Activity, Diet (26 papers). See Ling Loy collaborates with scholars based in Singapore, United Kingdom and Finland. See Ling Loy's co-authors include Fabian Yap, Keith M. Godfrey, Yap Seng Chong, Kok Hian Tan, Jerry Kok Yen Chan, Yin Bun Cheung, Hamid Jan Bin Jan Mohamed, Lynette Pei‐Chi Shek, Jerry Kok Yen Chan and Ngee Lek and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

See Ling Loy

101 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
See Ling Loy Singapore 25 568 523 485 239 210 113 1.6k
Lai Ling Hui Hong Kong 21 515 0.9× 421 0.8× 125 0.3× 243 1.0× 189 0.9× 79 1.3k
Lindsey A. Sjaarda United States 31 990 1.7× 949 1.8× 740 1.5× 175 0.7× 226 1.1× 125 2.8k
Per Magnus Norway 24 426 0.8× 443 0.8× 302 0.6× 116 0.5× 352 1.7× 46 2.0k
María Dolores Gómez‐Roig Spain 24 233 0.4× 776 1.5× 616 1.3× 153 0.6× 142 0.7× 106 1.7k
Jason Poole United Kingdom 24 415 0.7× 278 0.5× 213 0.4× 152 0.6× 166 0.8× 48 1.6k
Alexis Hure Australia 27 1.3k 2.4× 910 1.7× 866 1.8× 402 1.7× 499 2.4× 93 2.9k
Jayne Hutchinson United Kingdom 15 739 1.3× 448 0.9× 385 0.8× 240 1.0× 146 0.7× 31 1.4k
Ellen Mozurkewich United States 23 652 1.1× 880 1.7× 857 1.8× 288 1.2× 70 0.3× 58 1.9k
Anne Marie Z. Jukic United States 25 582 1.0× 460 0.9× 306 0.6× 53 0.2× 75 0.4× 85 1.6k
Sarah McMullen United Kingdom 25 732 1.3× 1.1k 2.2× 686 1.4× 251 1.1× 389 1.9× 61 2.3k

Countries citing papers authored by See Ling Loy

Since Specialization
Citations

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

Fields of papers citing papers by See Ling Loy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of See Ling Loy

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

All Works

20 of 20 papers shown
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Ong, Chengsi, Chee Wai Ku, Jerry Kok Yen Chan, et al.. (2025). Development and psychometric validation of a clinical instrument for infant feeding and lifestyle evaluation. Journal of Pediatric Gastroenterology and Nutrition. 80(5). 870–879.
4.
Kaur, Satvinder, Ruzita Abd Talib, See Ling Loy, et al.. (2025). Association between chrononutrition, sleep behaviours, and glycaemic outcomes in individuals with prediabetes: Findings from the Chrono-DM TM study. Chronobiology International. 42(10). 1328–1340. 2 indexed citations
6.
Loy, See Ling, et al.. (2024). Breastfeeding Practices and Postpartum Weight Retention in an Asian Cohort. Nutrients. 16(13). 2172–2172. 1 indexed citations
8.
Loy, See Ling, Chee Wai Ku, Ling‐Wei Chen, et al.. (2023). Associations of predominant night-eating with plasma glycemic status and continuous glucose monitoring measures among pregnant women. Clinical Nutrition. 42(12). 2320–2327. 6 indexed citations
9.
Tham, Elaine K.H., Anne Rifkin‐Graboi, Joshua J. Gooley, et al.. (2023). Preconception sleep quality moderates the association between preconception hair cortisol levels and mental health in pregnant women. Journal of Affective Disorders. 334. 187–196. 4 indexed citations
10.
Loy, See Ling, Chee Wai Ku, Yin Bun Cheung, et al.. (2023). Modifiable Risk Factor Score and Fecundability in a Preconception Cohort in Singapore. JAMA Network Open. 6(2). e2255001–e2255001. 6 indexed citations
11.
Tan, Karen, See Ling Loy, Kok Hian Tan, et al.. (2022). Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus. International Journal of Environmental Research and Public Health. 19(11). 6792–6792. 14 indexed citations
12.
Chen, Ling‐Wei, See Ling Loy, Fabian Yap, et al.. (2021). Combined analysis of gestational diabetes and maternal weight status from pre-pregnancy through post-delivery in future development of type 2 diabetes. Scientific Reports. 11(1). 5021–5021. 37 indexed citations
13.
Kaitu’u‐Lino, Tu’uhevaha J., Stephen Tong, Susan Walker, et al.. (2021). Maternal circulating SPINT1 is reduced in small-for-gestational age pregnancies at 26 weeks: Growing up in Singapore towards health outcomes (GUSTO) cohort study. Placenta. 110. 24–28. 5 indexed citations
14.
Ku, Chee Wai, See Ling Loy, Karrie Kwan Ki Ko, et al.. (2021). Validation of self-collected buccal swab and saliva as a diagnostic tool for COVID-19. International Journal of Infectious Diseases. 104. 255–261. 26 indexed citations
15.
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
16.
Lai, Jun Shi, Shu‐E Soh, See Ling Loy, et al.. (2018). Macronutrient composition and food groups associated with gestational weight gain: the GUSTO study. European Journal of Nutrition. 58(3). 1081–1094. 22 indexed citations
17.
Loo, Evelyn Xiu Ling, Jordan Sim, See Ling Loy, et al.. (2017). Associations between caesarean delivery and allergic outcomes. Annals of Allergy Asthma & Immunology. 118(5). 636–638. 16 indexed citations
18.
Padmapriya, Natarajan, Jonathan Y. Bernard, Liang Shen, et al.. (2016). Association of physical activity and sedentary behavior with depression and anxiety symptoms during pregnancy in a multiethnic cohort of Asian women. Archives of Women s Mental Health. 19(6). 1119–1128. 42 indexed citations
19.
Cheng, Tuck Seng, See Ling Loy, Jia Ying Toh, et al.. (2016). Predominantly nighttime feeding and weight outcomes in infants. American Journal of Clinical Nutrition. 104(2). 380–388. 14 indexed citations
20.
Loy, See Ling, et al.. (2013). Oxidative stress in early life and later obesity development.. Malaysian Journal of Nutrition. 19(3). 383–399. 1 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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