Michelle Bailey

12 papers receiving 398 citations

Peers

Michelle Bailey
Comparison fields: 5 of 103
  • Research and Theory 9
  • Psychiatry and Mental health 119
  • Complementary and alternative medicine 63
  • Cognitive Neuroscience 79
  • Developmental and Educational Psychology 47
Replace Lawrence D. Rosen with:
Lawrence D. Rosen United States
Ke‐Hsin Chueh Taiwan
Lillian Christon United States
Robert E. Krout United States
Anneke G. van der Niet Netherlands
Mizue Iwasaki Japan
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Michelle Bailey relative to Lawrence D. Rosen United States Lawrence D. Rosen's profile →
Citations per field
00.5×1.7×
Lawrence D. Rosen · 1×
Citations per year

Countries citing papers authored by Michelle Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2012152
2 201490
3 201761
4 201429
5 199920
6 201317
7 201914
8
All the voices in the room: integrating humanities in nursing education.
200514
9 19968
10 20157
11 19967
12 20142
13 19940

About Michelle Bailey

Michelle Bailey is a scholar working on Complementary and alternative medicine, Psychiatry and Mental health, General Health Professions, Cognitive Neuroscience and Control and Systems Engineering, having authored 13 papers that have together received 421 indexed citations. Recurring topics across this work include Complementary and Alternative Medicine Studies (4 papers), Empathy and Medical Education (2 papers), Autism Spectrum Disorder Research (1 paper), Mental Health and Psychiatry (1 paper), Healthcare professionals’ stress and burnout (1 paper), Educational and Psychological Assessments (1 paper), Marine animal studies overview (1 paper) and Medical Education and Admissions (1 paper). The work is most often cited by research in Research and Theory (9 citations), Psychiatry and Mental health (119 citations), Complementary and alternative medicine (63 citations), Cognitive Neuroscience (79 citations) and Developmental and Educational Psychology (47 citations). Michelle Bailey has collaborated with scholars based in United States, Canada and Chile. Frequent co-authors include Hilary McClafferty, Sunita Vohra, David Becker, Timothy Culbert, Renee M. Turchi, Susan E. Levy, Amy J. Houtrow, Miriam A. Kalichman, Robert T. Burke and Lawrence D. Rosen. Their work appears in journals such as PEDIATRICS, Behavioural and Cognitive Psychotherapy, The Journal of Alternative and Complementary Medicine, Journal of Ethnobiology and Academic 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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