See Ling Loy

178 total papers · 2.7k total citations
111 papers, 1.5k 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 111 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 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

98 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
See Ling Loy	558	519	481	237	200	111	1.5k
Eva María Navarrete‐Muñoz	869 1.6×	454 0.9×	278 0.6×	250 1.1×	221 1.1×	115	2.1k
Fengxiu Ouyang	277 0.5×	548 1.1×	353 0.7×	144 0.6×	199 1.0×	99	2.1k
Parvin Abedi	463 0.8×	274 0.5×	331 0.7×	116 0.5×	85 0.4×	150	1.5k
María José Aguilar Cordero	601 1.1×	388 0.7×	331 0.7×	150 0.6×	205 1.0×	141	1.7k
Milad Azami	352 0.6×	327 0.6×	319 0.7×	144 0.6×	72 0.4×	109	1.7k
Elena Spada	367 0.7×	587 1.1×	347 0.7×	281 1.2×	158 0.8×	48	1.9k
Maryam Kashanian	863 1.5×	705 1.4×	839 1.7×	79 0.3×	103 0.5×	182	2.2k
Per Magnus	425 0.8×	443 0.9×	301 0.6×	116 0.5×	352 1.8×	46	2.0k
Rachel M. Freathy	471 0.8×	540 1.0×	339 0.7×	72 0.3×	292 1.5×	61	2.0k
Lai Ling Hui	512 0.9×	419 0.8×	125 0.3×	242 1.0×	186 0.9×	78	1.3k

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

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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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