Nancy Morioka-Douglas

13 papers receiving 349 citations

Hit Papers

Association of Electronic Health Record Design and Use Fa...2019202620212023201950100150200

Peers

Nancy Morioka-Douglas
Comparison fields: 5 of 62
  • General Health Professions 202
  • Health Information Management 133
  • Public Health, Environmental and Occupational Health 130
  • Organizational Behavior and Human Resource Management 46
  • Clinical Psychology 32
Replace Frances E. Biagioli with:
Frances E. Biagioli United States
Leonor Fernández United States
Noah Crampton Canada
David Ting United States
Jeffrey Chi United States
Christine W. Nibbelink United States
Macda Gerard United States
Iiris Hörhammer Finland
Sarah A. Delgado United States
Esther Talboom-Kamp Netherlands
Nancy Morioka-Douglas relative to Frances E. Biagioli United States Frances E. Biagioli's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nancy Morioka-Douglas

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Morioka-Douglas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy Morioka-Douglas. 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 Nancy Morioka-Douglas. The network helps show where Nancy Morioka-Douglas may publish in the future.

Co-authorship network of co-authors of Nancy Morioka-Douglas

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy Morioka-Douglas. A scholar is included among the top collaborators of Nancy Morioka-Douglas 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 Nancy Morioka-Douglas. Nancy Morioka-Douglas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2 2
3 2
4 0
5 3
6 1
7
Association of Electronic Health Record Design and Use Factors With Clinician Stress and Burnoutbreakdown →
223
8 1
9 77
10 7
11
Service-Based Learning for Residents: A Success for Communities and Medical Education.
6
12 8
13 5
14 24

About Nancy Morioka-Douglas

Nancy Morioka-Douglas is a scholar working on General Health Professions, Speech and Hearing and Emergency Medical Services, having authored 14 papers that have together received 361 indexed citations. Recurring topics across this work include School Health and Nursing Education (3 papers), Diabetes Management and Education (3 papers) and Mobile Health and mHealth Applications (3 papers). The work is most often cited by research in Health Information Management (133 citations), Health Informatics (23 citations) and Family Practice (26 citations). Nancy Morioka-Douglas has collaborated with scholars based in United States and Vietnam. Frequent co-authors include Stewart Babbott, Mark Linzer, Sara Poplau, Philip J Kroth, Fares Qeadan, Gwen Yeo, Eunice Rodriguez, Lisa G. Rosas, Paula J. Adams Hillard and Sylvia Bereknyei Merrell. Their work appears in journals such as PLoS ONE, International Journal of Environmental Research and Public Health and JAMA Internal Medicine.

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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