Bada Kang

28 papers receiving 339 citations

Peers

Bada Kang
Comparison fields: 5 of 95
  • Neuropsychology and Physiological Psychology 7
  • Psychiatry and Mental health 44
  • Physiology 15
  • General Health Professions 64
  • Health Informatics 3
Replace Yan-Liang Yu with:
Yan-Liang Yu United States
Henrik Vogt United States
Christine Daum Canada
Eduardo Estrada Spain
Matthew H. Iveson United Kingdom
Rozanne Wilson United States
Yi‐Han Hu United States
Stefan Damerow Germany
Elisa Felici Italy
Chan-Mo Yang South Korea
Bada Kang relative to Yan-Liang Yu United States Yan-Liang Yu's profile →
Citations per field
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Yan-Liang Yu · 1×
Citations per year

Countries citing papers authored by Bada Kang

Since Specialization
Citations

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

Fields of papers citing papers by Bada Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201156
2 201939
3 198535
4 201830
5 202228
6 202124
7 201723
8 202120
9 200716
10 202315
11 202210
12 20219
13 20217
14 20235
15 20214
16 20214
17 20243
18 20223
19 20243
20 20233

About Bada Kang

Bada Kang is a scholar working on Psychiatry and Mental health, General Health Professions, Pediatrics, Perinatology and Child Health, Clinical Psychology and Epidemiology, having authored 37 papers that have together received 348 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (8 papers), Geriatric Care and Nursing Homes (4 papers), Prenatal Substance Exposure Effects (2 papers), Gestational Diabetes Research and Management (1 paper), Marine and Coastal Research (1 paper), Health and Well-being Studies (1 paper), Aging and Gerontology Research (1 paper) and Substance Abuse Treatment and Outcomes (1 paper). The work is most often cited by research in Neuropsychology and Physiological Psychology (7 citations), Psychiatry and Mental health (44 citations), Physiology (15 citations), General Health Professions (64 citations) and Health Informatics (3 citations). Bada Kang has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Eleanor S. McConnell, Eunhee Cho, Zhongwu Zhai, Hua Xu, Peifa Jia, Kirsten Corazzini, Sarah Soyeon Oh, Hanzhang Xu, Yuting Song and Kezia Scales. Their work appears in journals such as Innovation in Aging, Scientific Reports, Journal of Medical Internet Research, Journal of Advanced Nursing and International Journal of Nursing Studies.

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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