Ok Park

40 papers receiving 965 citations

Ok Park's Hit Papers

Korea National Health and Nutrition Examination Survey, 20th anniversary: accomplishments and future directions 2021 · 185 citations
1850+1+3Years since publication50100150

Peers

Ok Park
Comparison fields: 5 of 117
  • Modeling and Simulation 88
  • Health 86
  • Epidemiology 262
  • Infectious Diseases 129
  • Public Health, Environmental and Occupational Health 126
Replace Jennifer L. Williams with:
Jennifer L. Williams United States
Shaofa Nie China
Young-Joon Park South Korea
Yiyin Chen China
Shally Awasthi India
Inaya Hajj Hussein United States
David Ishola United Kingdom
Mohamad Raad United States
Shaza A. Fadel Canada
Zhen Chen China
Ok Park relative to Jennifer L. Williams United States Jennifer L. Williams's profile →
Citations per field
00.5×3.0×
Jennifer L. Williams · 1×
Citations per year

Countries citing papers authored by Ok Park

Since Specialization
Citations

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

Fields of papers citing papers by Ok Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Korea National Health and Nutrition Examination Survey, 20th anniversary: accomplishments and future directions
Hit paper breakdown →
2021185
2 202082
3 201775
4 201152
5 202051
6 201846
7 200942
8 201238
9 202134
10 201633
11 201031
12 202028
13 202127
14 201426
15 202125
16 201323
17 201221
18 201721
19 201619
20 201815

About Ok Park

Ok Park is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology and Health, having authored 40 papers that have together received 994 indexed citations. Recurring topics across this work include Virology and Viral Diseases (7 papers), Vaccine Coverage and Hesitancy (4 papers), Respiratory viral infections research (4 papers), Ethics in Clinical Research (4 papers), COVID-19 and Mental Health (3 papers), Viral Infections and Vectors (3 papers), Pediatric health and respiratory diseases (2 papers) and Learning Styles and Cognitive Differences (2 papers). The work is most often cited by research in Modeling and Simulation (88 citations), Health (86 citations), Epidemiology (262 citations), Infectious Diseases (129 citations) and Public Health, Environmental and Occupational Health (126 citations). Ok Park has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Young‐Taek Kim, Kyungwon Oh, Suyeon Park, Soyeon Kim, Young Joon Park, Yoonjung Kim, Sanghui Kweon, Sungha Yun, Eun Kyeong Jeong and Yeon-Kyeng Lee. Their work appears in journals such as Osong Public Health and Research Perspectives, Epidemiology and Health, Vaccine, Journal of Korean Medical Science and Tropical Medicine & International Health.

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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