Michael Ong

162 papers receiving 5.0k citations

Michael Ong's Hit Papers

Validity study of the K6 scale as a measure of moderate mental distress based on mental health treatment need and utilization 2012 · 706 citations
7060+12+24Years since publication200400600

Peers

Michael Ong
Comparison fields: 5 of 174
  • Family Practice 60
  • Health 265
  • General Health Professions 789
  • Physiology 664
  • Emergency Medical Services 153
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Countries citing papers authored by Michael Ong

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Validity study of the K6 scale as a measure of moderate mental distress based on mental health treatment need and utilization
Hit paper breakdown →
2012706
2
Distribution of basic fibroblast growth factor in the 18-day rat fetus: localization in the basement membranes of diverse tissues.
Hit paper breakdown →
1990474
3 2017151
4 2013142
5 2009129
6 2009111
7 2007103
8 200996
9 200694
10 200487
11 200685
12 201482
13
Bidirectional Representation Learning From Transformers Using Multimodal Electronic Health Record Data to Predict Depression
202181
14 201579
15 201169
16 200767
17 202164
18 200459
19 199258
20 200555

About Michael Ong

Michael Ong is a scholar working on General Health Professions, Physiology, Economics and Econometrics, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 171 papers that have together received 5.2k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (22 papers), Primary Care and Health Outcomes (14 papers), Heart Failure Treatment and Management (14 papers), Healthcare Policy and Management (11 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Mental Health Treatment and Access (7 papers), Chronic Disease Management Strategies (6 papers) and Telemedicine and Telehealth Implementation (5 papers). The work is most often cited by research in Family Practice (60 citations), Health (265 citations), General Health Professions (789 citations), Physiology (664 citations) and Emergency Medical Services (153 citations). Michael Ong has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Hai‐Yen Sung, Wendy Max, Andrew Baird, Judith J. Prochaska, Yanling Shi, Marino Buscaglia, Adriano Miziara Gonzalez, Stanton A. Glantz, Ralph Catalano and Terry Hartig. Their work appears in journals such as Journal of General Internal Medicine, Psychiatric Services, Tobacco Control, American Journal of Public Health and Ethnicity & Disease.

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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