Eun‐Shim Nahm
- General Health Professions top 2%
- Health top 5%
- Public Health, Environmental and Occupational Health top 10%
- Psychiatry and Mental health top 10%
- Physiology
- Co-authors
- Seon-Yoon ChungBarbara ResnickBu Kyung ParkMary Etta MillsElizabeth GalikShijun ZhuJay MagazinerJennifer Preece
- Topics
- Electronic Health Records Systems (15 papers)Mobile Health and mHealth Applications (13 papers)Health Literacy and Information Accessibility (11 papers)
- Journals
- American Journal of Preventive MedicineJournal of Medical Internet ResearchJournal of Advanced Nursing
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Eun‐Shim Nahm
46 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- General Health Professions 632
- Health 174
- Public Health, Environmental and Occupational Health 164
- Psychiatry and Mental health 153
- Physiology 138
Countries citing papers authored by Eun‐Shim Nahm
This map shows the geographic impact of Eun‐Shim Nahm'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 Eun‐Shim Nahm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun‐Shim Nahm more than expected).
Fields of papers citing papers by Eun‐Shim Nahm
This network shows the impact of papers produced by Eun‐Shim Nahm. 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 Eun‐Shim Nahm. The network helps show where Eun‐Shim Nahm may publish in the future.
Co-authorship network of co-authors of Eun‐Shim Nahm
This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Shim Nahm. A scholar is included among the top collaborators of Eun‐Shim Nahm based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eun‐Shim Nahm. Eun‐Shim Nahm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 86 | |
| 10 | 1 | |
| 11 | 137 | |
| 12 | 11 | |
| 13 | 33 | |
| 14 | 82 | |
| 15 | 61 | |
| 16 | 25 | |
| 17 | 18 | |
| 18 | 15 | |
| 19 | Development and pilot-testing of the perceived health Web Site usability questionnaire (PHWSUQ) for older adults. | 35 |
| 20 | 17 |
About Eun‐Shim Nahm
Eun‐Shim Nahm is a scholar working on Health Information Management, Issues, ethics and legal aspects and Research and Theory, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Electronic Health Records Systems (15 papers), Mobile Health and mHealth Applications (13 papers) and Health Literacy and Information Accessibility (11 papers). The work is most often cited by research in General Health Professions (632 citations), Health (174 citations) and Health Information Management (94 citations). Eun‐Shim Nahm has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Seon-Yoon Chung, Barbara Resnick, Barbara Resnick, Bu Kyung Park, Mary Etta Mills, Elizabeth Galik, Shijun Zhu, Jay Magaziner, Jennifer Preece and Wen Liu. Their work appears in journals such as American Journal of Preventive Medicine, Journal of Medical Internet Research and Journal of Advanced Nursing.
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.