Eun‐Shim Nahm

1.6k total citations
50 papers, 1.1k citations indexed

About

Eun‐Shim Nahm is a scholar working on General Health Professions, Health Information Management and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Eun‐Shim Nahm has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in General Health Professions, 15 papers in Health Information Management and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Eun‐Shim Nahm's work include Electronic Health Records Systems (15 papers), Mobile Health and mHealth Applications (13 papers) and Health Literacy and Information Accessibility (11 papers). Eun‐Shim Nahm is often cited by papers focused on Electronic Health Records Systems (15 papers), Mobile Health and mHealth Applications (13 papers) and Health Literacy and Information Accessibility (11 papers). Eun‐Shim Nahm collaborates with scholars based in United States, South Korea and United Kingdom. Eun‐Shim Nahm's 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 Marie Boltz and has published in prestigious journals such as American Journal of Preventive Medicine, Journal of Medical Internet Research and Journal of Advanced Nursing.

In The Last Decade

Eun‐Shim Nahm

46 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eun‐Shim Nahm United States 19 632 174 164 153 138 50 1.1k
Elizabete Viana de Freitas Brazil 9 469 0.7× 169 1.0× 156 1.0× 122 0.8× 147 1.1× 22 1.1k
Milton Luiz Gorzoni Brazil 11 512 0.8× 189 1.1× 141 0.9× 137 0.9× 111 0.8× 34 1.2k
James T Pacala United States 21 735 1.2× 171 1.0× 258 1.6× 141 0.9× 146 1.1× 42 1.6k
Darlene Mara dos Santos Tavares Brazil 18 764 1.2× 363 2.1× 139 0.8× 77 0.5× 240 1.7× 188 1.5k
Hongdao Meng United States 22 636 1.0× 174 1.0× 240 1.5× 202 1.3× 114 0.8× 112 1.5k
Maria Helena Lenardt Brazil 17 430 0.7× 86 0.5× 149 0.9× 87 0.6× 203 1.5× 128 903
Sueli Marques Brazil 20 421 0.7× 140 0.8× 146 0.9× 103 0.7× 90 0.7× 56 877
Jimmie Kristensson Sweden 20 564 0.9× 190 1.1× 184 1.1× 114 0.7× 97 0.7× 57 1.2k
Célia Pereira Caldas Brazil 21 887 1.4× 249 1.4× 225 1.4× 128 0.8× 89 0.6× 148 1.3k
Jair Sindra Virtuoso Júnior Brazil 19 388 0.6× 222 1.3× 210 1.3× 108 0.7× 514 3.7× 90 1.1k

Countries citing papers authored by Eun‐Shim Nahm

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Nahm, Eun‐Shim, et al.. (2024). Data-Centric Machine Learning in Nursing. CIN Computers Informatics Nursing. 42(5). 325–333. 3 indexed citations
3.
Nahm, Eun‐Shim, Mary Etta Mills, Linda Costa, et al.. (2023). Continuum of nursing education and practice: Time to close the chasm between academia and practice. Journal of Professional Nursing. 46. 134–140. 8 indexed citations
4.
Nahm, Eun‐Shim, et al.. (2023). Real-World Data for Interdisciplinary Health Care Research. Advances in Nursing Science. 46(4). 349–362.
5.
Nahm, Eun‐Shim, et al.. (2022). Older Adults' Perception on and Use of Patient Portals: A Comparative Analysis of Two Samples.. PubMed. 40(1). 61–68. 2 indexed citations
6.
Zhu, Shijun, Knar Sagherian, Yan Wang, Eun‐Shim Nahm, & Erika Friedmann. (2021). Longitudinal Moderated Mediation Analysis in Parallel Process Latent Growth Curve Modeling in Intervention Studies. Nursing Research. 70(3). 184–192. 7 indexed citations
7.
Nahm, Eun‐Shim, Mary Etta Mills, Linda Costa, et al.. (2021). Development of an academic-practice partnership model to anchor care coordination and population health. Nursing Outlook. 70(1). 193–203. 6 indexed citations
8.
Nahm, Eun‐Shim, et al.. (2020). Health Information Exchange. JONA The Journal of Nursing Administration. 50(11). 584–589. 5 indexed citations
9.
Nahm, Eun‐Shim, et al.. (2019). Testing the Impact of a Cancer Survivorship Patient Engagement Toolkit on Selected Health Outcomes. Oncology nursing forum. 46(5). 572–584. 17 indexed citations
10.
Nahm, Eun‐Shim, et al.. (2018). Older Adults’ Experience Using Patient Portals in Communities. CIN Computers Informatics Nursing. 37(1). 4–10. 12 indexed citations
11.
Baughman, Kristin, Ruth Ludwick, David Jarjoura, et al.. (2016). THE BURDEN OF LOW HEALTH LITERACY AMONG OLDER ADULTS. The Gerontologist. 56(Suppl_3). 202–203. 1 indexed citations
12.
Chung, Seon-Yoon & Eun‐Shim Nahm. (2015). Testing Reliability and Validity of the eHealth Literacy Scale (eHEALS) for Older Adults Recruited Online. CIN Computers Informatics Nursing. 33(4). 150–156. 137 indexed citations
13.
Resnick, Barbara, et al.. (2014). Reliability and Validity of the Revised Osteoporosis Knowledge Test. Journal of Nursing Measurement. 22(2). 342–356. 6 indexed citations
14.
Nahm, Eun‐Shim, Barbara Resnick, Denise Orwig, et al.. (2012). A Theory-Based Online Hip Fracture Resource Center for Caregivers. Nursing Research. 61(6). 413–422. 33 indexed citations
15.
Nahm, Eun‐Shim, Joan I. Warren, Shijun Zhu, Minjeong An, & Jeanine Brown. (2012). Nurses' self-care behaviors related to weight and stress. Nursing Outlook. 60(5). e23–e31. 82 indexed citations
16.
Nahm, Eun‐Shim, Barker Bausell, Barbara Resnick, et al.. (2009). Online research in older adults: lessons learned from conducting an online randomized controlled trial. Applied Nursing Research. 24(4). 269–275. 18 indexed citations
17.
Nahm, Eun‐Shim, et al.. (2009). Use of Discussion Boards in a Theory-Based Health Web Site for Older Adults. Nursing Research. 58(6). 419–426. 25 indexed citations
18.
Galik, Elizabeth, Barbara Resnick, Ann L. Gruber‐Baldini, et al.. (2008). Pilot Testing of the Restorative Care Intervention for the Cognitively Impaired. Journal of the American Medical Directors Association. 9(7). 516–522. 62 indexed citations
19.
Thomas, Sue A., Erika Friedmann, Stephen S. Gottlieb, et al.. (2008). Changes in psychosocial distress in outpatients with heart failure with implantable cardioverter defibrillators. Heart & Lung. 38(2). 109–120. 32 indexed citations
20.
Nahm, Eun‐Shim, Barbara Resnick, & Mary Etta Mills. (2006). Development and pilot-testing of the perceived health Web Site usability questionnaire (PHWSUQ) for older adults.. PubMed. 122. 38–43. 35 indexed citations

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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