Mabel Yap

9 papers receiving 1.6k citations

Mabel Yap's Hit Papers

Body mass index and percent body fat: a meta analysis among different ethnic groups 1998 · 1.1k citations
1.1k0+9+18Years since publication2505007501000

Peers

Mabel Yap
Comparison fields: 5 of 117
  • Physiology 446
  • Pharmacy 73
  • Public Health, Environmental and Occupational Health 375
  • Endocrinology, Diabetes and Metabolism 193
  • Clinical Psychology 131
Replace Mandy Ho with:
Mandy Ho Hong Kong
Nehama Goldberger Israel
Ruth Gausche Germany
Erol İnelmen Italy
Rishi Caleyachetty United Kingdom
Richard S. Strauss United States
Estela Blanco United States
Janice Barnhart United States
Constantina Papoutsakis United States
Shiun Dong Hsieh Japan
Mabel Yap relative to Mandy Ho Hong Kong Mandy Ho's profile →
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Citations per year

Countries citing papers authored by Mabel Yap

Since Specialization
Citations

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

Fields of papers citing papers by Mabel Yap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mabel Yap, 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 Mabel Yap Line = papers co-authored together Mabel Yap links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Body mass index and percent body fat: a meta analysis among different ethnic groups
Hit paper breakdown →
19981109
2 1999165
3 2012139
4 1999111
5 201273
6 200568
7 201256
8 201212
9 20188

About Mabel Yap

Mabel Yap is a scholar working on Physiology, Health, Social Psychology, Clinical Psychology and Epidemiology, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Body Composition Measurement Techniques (2 papers), Health disparities and outcomes (1 paper), Endometriosis Research and Treatment (1 paper), Obesity, Physical Activity, Diet (1 paper), Child and Adolescent Psychosocial and Emotional Development (1 paper), Mental Health Treatment and Access (1 paper), Breastfeeding Practices and Influences (1 paper) and Nutritional Studies and Diet (1 paper). The work is most often cited by research in Physiology (446 citations), Pharmacy (73 citations), Public Health, Environmental and Occupational Health (375 citations), Endocrinology, Diabetes and Metabolism (193 citations) and Clinical Psychology (131 citations). Mabel Yap has collaborated with scholars based in Singapore, Netherlands and United States. Frequent co-authors include Paul Deurenberg, WA van Staveren, G. Schmidt, John Wang, Siow Ann Chong, Mythily Subramaniam, Janhavi Ajit Vaingankar, Derrick Heng, Kian Woon Kwok and Yee Wei Lim. Their work appears in journals such as International Journal of Obesity, International Journal of Methods in Psychiatric Research, Journal of Minimally Invasive Gynecology, Best Practice & Research Clinical Endocrinology & Metabolism and Journal of Psychosomatic Research.

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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