Bee‐Ah Kang

453 citations
14 papers · 258 · 1 hit paper · h-index 5

Impact in

Papers in

Bee‐Ah Kang

12 papers receiving 249 citations

Bee‐Ah Kang's Hit Papers

Knowledge, attitudes, and practices (KAP) toward COVID-19: a cross-sectional study in South Korea 2021 · 206 citations
2060+1+3Years since publication50100150200

Peers

Bee‐Ah Kang
Comparison fields: 5 of 78
  • Modeling and Simulation 70
  • Health 64
  • Clinical Psychology 116
  • Applied Psychology 11
  • Infectious Diseases 39
Replace Arielle Kaim with:
Arielle Kaim Israel
Obianuju Genevieve Aguolu United States
Piwuna Christopher Goson Australia
Natalee Hung Canada
Aghna Wasim Canada
Katherine Morris United States
Tasmiah Nuzhath United States
Michele Capraro Italy
Aanuoluwapo Adeyimika Afolabi Nigeria
Theresa Tang Canada
Bee‐Ah Kang relative to Arielle Kaim Israel Arielle Kaim's profile →
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Countries citing papers authored by Bee‐Ah Kang

Since Specialization
Citations

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

Fields of papers citing papers by Bee‐Ah Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bee‐Ah Kang. 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 Bee‐Ah Kang. The network helps show where Bee‐Ah Kang may publish in the future.

Co-authors

The 22 scholars most cited alongside Bee‐Ah Kang, 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 Bee‐Ah Kang Line = papers co-authored together Bee‐Ah Kang links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Knowledge, attitudes, and practices (KAP) toward COVID-19: a cross-sectional study in South Korea
Hit paper breakdown →
2021206
2 201815
3 202111
4 20208
5 20226
6 20234
7 20232
8 20252
9 20231
10 20251
11 20221
12 20251
13 20250
14 20250

About Bee‐Ah Kang

Bee‐Ah Kang is a scholar working on General Health Professions, Emergency Medical Services, Clinical Psychology, Sociology and Political Science and Health, having authored 14 papers that have together received 258 indexed citations. Recurring topics across this work include Disaster Response and Management (5 papers), COVID-19 and Mental Health (4 papers), Mobile Health and mHealth Applications (3 papers), Food Security and Health in Diverse Populations (2 papers), Disaster Management and Resilience (2 papers), Child Development and Digital Technology (1 paper), Health Policy Implementation Science (1 paper) and Bullying, Victimization, and Aggression (1 paper). The work is most often cited by research in Modeling and Simulation (70 citations), Health (64 citations), Clinical Psychology (116 citations), Applied Psychology (11 citations) and Infectious Diseases (39 citations). Bee‐Ah Kang has collaborated with scholars based in United States, Pakistan and South Korea. Frequent co-authors include Myoungsoon You, Minjung Lee, Kwanho Kim, Chul‐joo Lee, Heeyoung Lee, Fred M. Ssewamala, Rajiv N. Rimal, Larissa Jennings Mayo‐Wilson, Muthoni Mathai and Brian Dodge. Their work appears in journals such as BMJ Open, Occupational and Environmental Medicine, Public Health Nutrition, BMC Public Health and AIDS and Behavior.

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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