Jun Ming Dai

36 papers receiving 847 citations

Peers

Jun Ming Dai
Comparison fields: 5 of 108
  • Biological Psychiatry 85
  • Behavioral Neuroscience 52
  • Public Health, Environmental and Occupational Health 225
  • Physiology 138
  • Nutrition and Dietetics 83
Replace Beom Seuk Hwang with:
Beom Seuk Hwang South Korea
Qian Su China
Jialin Fu China
Huaixing Li China
Jaana Leiviskä Finland
Bo Xie China
Yuhua Liao China
Pei-an Betty Shih United States
Anthony M. Villani Australia
Georgios Valsamakis Greece
Jun Ming Dai relative to Beom Seuk Hwang South Korea Beom Seuk Hwang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jun Ming Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ming Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Ming Dai. 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 Jun Ming Dai. The network helps show where Jun Ming Dai may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008220
2 2008127
3 2007123
4 200750
5 200844
6 201339
7 200837
8 201737
9 201035
10 201527
11
The relationship between media exposure and mental health problems during COVID-19 outbreak
202015
12 201612
13
[Impact of cytochrome P450 2C19 polymorphisms on outcome of cardiovascular events in clopidogrel-treated Chinese patients after percutaneous coronary intervention].
201111
14 200111
15 201410
16 201310
17 20109
18 20099
19 20148
20 20217

About Jun Ming Dai

Jun Ming Dai is a scholar working on Public Health, Environmental and Occupational Health, Nutrition and Dietetics, Cardiology and Cardiovascular Medicine, Rheumatology and General Health Professions, having authored 36 papers that have together received 875 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (4 papers), Nutritional Studies and Diet (4 papers), Healthcare professionals’ stress and burnout (3 papers), Epigenetics and DNA Methylation (3 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Employment and Welfare Studies (2 papers), Workplace Health and Well-being (2 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Biological Psychiatry (85 citations), Behavioral Neuroscience (52 citations), Public Health, Environmental and Occupational Health (225 citations), Physiology (138 citations) and Nutrition and Dietetics (83 citations). Jun Ming Dai has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Laura Viola Vaccarino, Jack H. Goldberg, Linda Ramball Jones, Peter Wyman Ford Wilson, Lucy H. Shallenberger, Thomas R. Ziegler, James Douglas Bremner, Andrew H. Miller, Nancy V. Murrah and Amita K. Manatunga. Their work appears in journals such as American Journal of Clinical Nutrition, Biological Psychiatry, Gene, Alcoholism Clinical and Experimental Research and Circulation Cardiovascular Quality and Outcomes.

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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