S-M Saw

652 citations
14 papers · 415 · h-index 9

Impact in

Papers in

S-M Saw

14 papers receiving 402 citations

Peers

S-M Saw
Comparison fields: 5 of 50
  • Ophthalmology 102
  • Radiology, Nuclear Medicine and Imaging 106
  • Epidemiology 91
  • Obstetrics and Gynecology 15
  • Endocrine and Autonomic Systems 12
Replace Mazen Al‐Essa with:
Mazen Al‐Essa Kuwait
Shayne Brown Australia
Charlotte McKnight Australia
Katie Williams United Kingdom
Cassandra Fink United States
Allison M. Momany United States
Xuehan Qian China
Sumeer Singh Australia
Sirkka‐Liisa Rudanko Finland
Fernando Molle Italy
S-M Saw relative to Mazen Al‐Essa Kuwait Mazen Al‐Essa's profile →
Citations per field
00.5×4.9×
Mazen Al‐Essa · 1×
Citations per year

Countries citing papers authored by S-M Saw

Since Specialization
Citations

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

Fields of papers citing papers by S-M Saw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S-M Saw. 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 S-M Saw. The network helps show where S-M Saw may publish in the future.

Co-authors

The 25 scholars most cited alongside S-M Saw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S-M Saw Line = papers co-authored together S-M Saw links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201180
2 200376
3 200869
4 200842
5 201741
6 201534
7 200331
8 200820
9 201714
10
Prevalence of cataract in rural Indonesia
20043
11 20082
12
Prevalence Rates and Risk Factors for Refractive Errors in South Sumatra, Indonesia
20021
13
Lens Thickness, Lens Position and Peripheral Anterior Synechiae in the Singaporean and Mongolian Glaucoma Prevalence Surveys
20031
14
Risk factors for different biometry parameters in Singapore Chinese children
20021

About S-M Saw

S-M Saw is a scholar working on Ophthalmology, Epidemiology, Genetics, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience, having authored 14 papers that have together received 415 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (2 papers), Ophthalmology and Visual Impairment Studies (2 papers), Birth, Development, and Health (1 paper), Dermatoglyphics and Human Traits (1 paper), Genetic Associations and Epidemiology (1 paper), Retinal and Macular Surgery (1 paper) and Autism Spectrum Disorder Research (1 paper). The work is most often cited by research in Ophthalmology (102 citations), Radiology, Nuclear Medicine and Imaging (106 citations), Epidemiology (91 citations), Obstetrics and Gynecology (15 citations) and Endocrine and Autonomic Systems (12 citations). S-M Saw has collaborated with scholars based in Singapore, United Kingdom and New Zealand. Frequent co-authors include Tien Yin Wong, Than Aung, Paul Mitchell, Ryo Kawasaki, ES Tai, Daniel P. K. Ng, Xueling Sim, Rick TH Ong, Philippe Froguel and Rajkumar Dorajoo. Their work appears in journals such as British Journal of Ophthalmology, International Journal of Obesity, Investigative Ophthalmology & Visual Science, Molecular Autism and Journal of Epidemiology.

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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