Win Khaing

13 papers receiving 370 citations

Peers

Win Khaing
Comparison fields: 5 of 76
  • Obstetrics and Gynecology 101
  • Pediatrics, Perinatology and Child Health 127
  • Health 48
  • Endocrine and Autonomic Systems 35
  • Public Health, Environmental and Occupational Health 89
Replace Kumudu Wijewardene with:
Kumudu Wijewardene Sri Lanka
Zahra Khan United Kingdom
Paula Margozzini Chile
Luke Arnold Australia
Nana Matoba United States
Richard T. Oster Canada
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Ayae Yamamoto United States
Julie M. Petersen United States
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Win Khaing relative to Kumudu Wijewardene Sri Lanka Kumudu Wijewardene's profile →
Citations per field
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Citations per year

Countries citing papers authored by Win Khaing

Since Specialization
Citations

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

Fields of papers citing papers by Win Khaing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2017120
2 2017101
3 201649
4 201645
5 200928
6 202125
7 20156
8
Empowerment and barriers to health care access among currently married women: Secondary data analysis of the 2015-16 Myanmar Demographic and Health Survey
20192
9 20152
10 20231
11 20241
12 20251
13
Community's Perception on Premarital Sex: A Qualitative Research in an Urban Area of Mandalay City, Myanmar
20151
14 20250

About Win Khaing

Win Khaing is a scholar working on Pediatrics, Perinatology and Child Health, General Health Professions, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Organizational Behavior and Human Resource Management, having authored 14 papers that have together received 382 indexed citations. Recurring topics across this work include Global Maternal and Child Health (3 papers), Global Public Health Policies and Epidemiology (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Health Literacy and Information Accessibility (1 paper), Computational Drug Discovery Methods (1 paper), Emergency and Acute Care Studies (1 paper), Sex work and related issues (1 paper) and Migration, Health and Trauma (1 paper). The work is most often cited by research in Obstetrics and Gynecology (101 citations), Pediatrics, Perinatology and Child Health (127 citations), Health (48 citations), Endocrine and Autonomic Systems (35 citations) and Public Health, Environmental and Occupational Health (89 citations). Win Khaing has collaborated with scholars based in Myanmar, Thailand and United States. Frequent co-authors include John Attia, Mark McEvoy, Ammarin Thakkinstian, Sakda Arj-Ong Vallibhakara, Visasiri Tantrakul, Sasivimol Rattanasiri, Win Myint Oo, Christian Guilleminault, Panyu Panburana and Pawin Numthavaj. Their work appears in journals such as Nutrients, Sleep Medicine Reviews, Influenza and Other Respiratory Viruses, Viruses and European Journal of Preventive Cardiology.

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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