Giok Ong

13.2k citations
9 papers · 7.2k indexed · 1 hit paper · h-index 9

Giok Ong

9 papers receiving 7.2k citations

Hit Papers

UK Biobank: An Open Access Resource for Identifying the C...6.9k20152026201820222.0k4.0k6.0k

Peers

Giok Ong
Comparison fields: 5 of 163
  • Genetics 2.0k
  • Physiology 1.2k
  • Geriatrics and Gerontology 171
  • Health Informatics 54
  • Cardiology and Cardiovascular Medicine 895
Replace Tim Peakman with:
Tim Peakman United Kingdom
Paul Downey Ireland
Tim Sprosen United Kingdom
Martin Landray United Kingdom
Jane Green United Kingdom
Amit V. Khera United States
Thomas J. Littlejohns United Kingdom
Abbas Dehghan Netherlands
Themistocles L. Assimes United States
Sekar Kathiresan United States
Giok Ong relative to Tim Peakman United Kingdom Tim Peakman's profile →
Citations per field
00.5×1.5×
Tim Peakman · 1×
Citations per year

Countries citing papers authored by Giok Ong

Since Specialization
Citations

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

Fields of papers citing papers by Giok Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

9 of 9 papers shown
#Work
1
UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Agebreakdown →
20156888
2 2012110
3 201225
4 201132
5 199813
6 199811
7 199779
8 199614
9 199443

About Giok Ong

Giok Ong is a scholar working on Emergency Medicine, Oncology, General Health Professions, Health, Toxicology and Mutagenesis and Genetics, having authored 9 papers that have together received 7.2k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (5 papers), Cardiac Arrest and Resuscitation (3 papers), Patient-Provider Communication in Healthcare (2 papers), Health Literacy and Information Accessibility (2 papers), Nutrition, Genetics, and Disease (1 paper), Genetic Associations and Epidemiology (1 paper), BRCA gene mutations in cancer (1 paper) and Cancer Risks and Factors (1 paper). The work is most often cited by research in Genetics (2.0k citations), Physiology (1.2k citations), Geriatrics and Gerontology (171 citations), Health Informatics (54 citations) and Cardiology and Cardiovascular Medicine (895 citations). Giok Ong has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include Bette Liu, Jill P. Pell, Paul Downey, Alan J. Silman, Naomi E. Allen, Rory Collins, Valerie Beral, Paul M. Matthews, Tim Peakman and John Gallacher. Their work appears in journals such as Journal of Medical Screening, Heart, PLoS Medicine, Critical Care Medicine and Health Education Journal.

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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