Mia Son

47 papers receiving 606 citations

Peers

Mia Son
Comparison fields: 5 of 97
  • Leadership and Management 15
  • Health 85
  • General Health Professions 146
  • Experimental and Cognitive Psychology 62
  • Radiological and Ultrasound Technology 18
Replace Hamid Haghani with:
Hamid Haghani Iran
Susan Corbridge United States
Evelyn P. Davila United States
Armin Zareiyan Iran
Yeon Hee Kim South Korea
Antonio Olry de Labry Lima Spain
Kang‐Sook Lee South Korea
Sultan Taşçı Türkiye
Jadvyga Petrauskienė Lithuania
Shahla Khosravan Iran
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Citations per field
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Hamid Haghani · 1×
Citations per year

Countries citing papers authored by Mia Son

Since Specialization
Citations

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

Fields of papers citing papers by Mia Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200853
2 200848
3 200843
4 200242
5 200432
6 200929
7 201228
8
The Relationships of Occupational Class Educational Level and Deprivation with Mortality in Korea
200225
9 201625
10 201023
11 197721
12 201521
13 201321
14 201920
15 201520
16 200819
17
The Relationship of Social Class and Health Behaviors with Morbidity in Korea
200218
18
[The effects of the parents' social class on infant and child death among 1995-2004 birth cohort in Korea].
200617
19 200415
20 201614

About Mia Son

Mia Son is a scholar working on General Health Professions, Health, Public Health, Environmental and Occupational Health, Social Psychology and Pediatrics, Perinatology and Child Health, having authored 48 papers that have together received 662 indexed citations. Recurring topics across this work include Health disparities and outcomes (11 papers), Health and Wellbeing Research (6 papers), Global Cancer Incidence and Screening (4 papers), Ergonomics and Musculoskeletal Disorders (4 papers), Occupational Health and Safety Research (3 papers), Occupational and environmental lung diseases (3 papers), Sleep and Work-Related Fatigue (3 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Leadership and Management (15 citations), Health (85 citations), General Health Professions (146 citations), Experimental and Cognitive Psychology (62 citations) and Radiological and Ultrasound Technology (18 citations). Mia Son has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Sang Baek Koh, Young-Ju Kim, Juhwan Oh, Domyung Paek, Won Jin Lee, Eun Sook Park, Mikko Härmä, Jae-Young Kim, Jin‐Young Min and Jongoh Kim. Their work appears in journals such as Journal of Korean Medical Science, International Archives of Occupational and Environmental Health, Social Science & Medicine, International Journal of Environmental Research and Public Health and Journal of Pediatric and Adolescent Gynecology.

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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