Henna Kim

727 citations
9 papers · 449 · 1 hit paper · h-index 6

Impact in

    • Health Literacy and Information Accessibility
    • Mobile Health and mHealth Applications
  • Health top 10%
    • Social Media in Health Education

Papers in

Henna Kim

8 papers receiving 424 citations

Henna Kim's Hit Papers

Health literacy in the eHealth era: A systematic review of the literature 2017 · 292 citations
2920+3+6Years since publication50100150200250

Peers

Henna Kim
Comparison fields: 5 of 86
  • General Health Professions 182
  • Health 53
  • Health Informatics 6
  • Applied Psychology 19
  • Artificial Intelligence 86
Replace Patrick Cheong‐Iao Pang with:
Patrick Cheong‐Iao Pang Macao
Lena Griebel Germany
Sahiti Myneni United States
Célia Boyer Switzerland
Manal Almalki Saudi Arabia
William Goossen Netherlands
Meghan Bradway Norway
Peter Singleton United Kingdom
Reem El Sherif Canada
Isabella Scandurra Sweden
Henna Kim relative to Patrick Cheong‐Iao Pang Macao Patrick Cheong‐Iao Pang's profile →
Citations per field
00.5×1.5×2.0×
Patrick Cheong‐Iao Pang · 1×
Citations per year

Countries citing papers authored by Henna Kim

Since Specialization
Citations

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

Fields of papers citing papers by Henna Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Henna Kim, 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 Henna Kim Line = papers co-authored together Henna Kim links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Health literacy in the eHealth era: A systematic review of the literature
Hit paper breakdown →
2017292
2 201777
3 201529
4 201520
5 201620
6 20137
7 20142
8 20181
9 20141

About Henna Kim

Henna Kim is a scholar working on General Health Professions, Information Systems, Artificial Intelligence, Human-Computer Interaction and Health, having authored 9 papers that have together received 449 indexed citations. Recurring topics across this work include Health Literacy and Information Accessibility (5 papers), Mobile Health and mHealth Applications (4 papers), ICT in Developing Communities (2 papers), Usability and User Interface Design (2 papers), Advanced Text Analysis Techniques (2 papers), Topic Modeling (2 papers), Interactive and Immersive Displays (1 paper) and Advanced Graph Neural Networks (1 paper). The work is most often cited by research in General Health Professions (182 citations), Health (53 citations), Health Informatics (6 citations), Applied Psychology (19 citations) and Artificial Intelligence (86 citations). Henna Kim has collaborated with scholars based in United States, Netherlands and Türkiye. Frequent co-authors include Bo Xie, Yan Zhang, M. M. Rahman, Matthew Lease, Tyler McDonnell, Edward A. Banner, An Nguyen, Byron Wallace, Dan Xu and Ye Zhang. Their work appears in journals such as Patient Education and Counseling, Information Retrieval, Aslib Journal of Information Management, Proceedings of the Association for Information Science and Technology and arXiv (Cornell University).

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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