Ying Foo

505 citations
13 papers · 404 · h-index 9

Impact in

Papers in

    • Natural Antidiabetic Agents Studies 1
    • Diabetes, Cardiovascular Risks, and Lipoproteins 1
    • Pancreatic function and diabetes 1
    • Lipoproteins and Cardiovascular Health 1
    • Adrenal and Paraganglionic Tumors 1

Ying Foo

12 papers receiving 376 citations

Peers

Ying Foo
Comparison fields: 5 of 75
  • Hepatology 34
  • Pediatrics, Perinatology and Child Health 70
  • Epidemiology 118
  • Nutrition and Dietetics 42
  • Public Health, Environmental and Occupational Health 69
Replace Muhammad Irfan Saeed with:
Muhammad Irfan Saeed United States
Jose F. Rueda United States
A. Mohammed Qatar
Mohit Kehar Canada
José Luís San Miguel Spain
Sepehr Aghajanian Iran
Elena A. Molchanova Russia
Simon E. Chin New Zealand
Shahid Aziz Saudi Arabia
Cemşit Karakurt Türkiye
Ying Foo relative to Muhammad Irfan Saeed United States Muhammad Irfan Saeed's profile →
Citations per field
00.5×2×3×4.1×
Muhammad Irfan Saeed · 1×
Citations per year

Countries citing papers authored by Ying Foo

Since Specialization
Citations

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

Fields of papers citing papers by Ying Foo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2013140
2 201363
3 200960
4 200937
5 200836
6 201220
7 199819
8 201311
9 19979
10 20084
11 19793
12 20191
13
Serumisoamylase activities indiabetes mellitus
19801

About Ying Foo

Ying Foo is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cancer Research, Epidemiology and Clinical Biochemistry, having authored 13 papers that have together received 404 indexed citations. Recurring topics across this work include Breastfeeding Practices and Influences (2 papers), Coronary Artery Anomalies (1 paper), Natural Antidiabetic Agents Studies (1 paper), Pancreatic function and diabetes (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper) and Adrenal and Paraganglionic Tumors (1 paper). The work is most often cited by research in Hepatology (34 citations), Pediatrics, Perinatology and Child Health (70 citations), Epidemiology (118 citations), Nutrition and Dietetics (42 citations) and Public Health, Environmental and Occupational Health (69 citations). Ying Foo has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Michael S. Kramer, Natalia Bogdanovich, Richard Michael Martin, Rita S. Patel, Konstantin Vilchuck, Emily Oken, Tom Palmer, Matthew W. Gillman, George Davey Smith and Lauren Guthrie. Their work appears in journals such as Annals of Clinical Biochemistry International Journal of Laboratory Medicine, PLoS ONE, JAMA, BMJ Paediatrics Open and Pediatric Nephrology.

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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