Hsiang‐Chu Pai

52 papers receiving 769 citations

Peers

Hsiang‐Chu Pai
Comparison fields: 5 of 96
  • General Health Professions 275
  • Sociology and Political Science 224
  • Education 148
  • Clinical Psychology 146
  • Public Health, Environmental and Occupational Health 105
Replace Jacqueline McCallum with:
Jacqueline McCallum United Kingdom
Michal Itzhaki Israel
Di Marks‐Maran United Kingdom
Maria Jirwe Sweden
Zohreh Vanaki Iran
Alessandro Sili Italy
Susan L. Johnson United States
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Hsiang‐Chu Pai relative to Jacqueline McCallum United Kingdom Jacqueline McCallum's profile →
Citations per field
00.5×1.5×2.4×
Jacqueline McCallum · 1×
Citations per year

Countries citing papers authored by Hsiang‐Chu Pai

Since Specialization
Citations

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

Fields of papers citing papers by Hsiang‐Chu Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiang‐Chu Pai. 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 Hsiang‐Chu Pai. The network helps show where Hsiang‐Chu Pai may publish in the future.

Co-authorship network of co-authors of Hsiang‐Chu Pai

This figure shows the co-authorship network connecting the top 25 collaborators of Hsiang‐Chu Pai. A scholar is included among the top collaborators of Hsiang‐Chu Pai 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 Hsiang‐Chu Pai. Hsiang‐Chu Pai 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
#WorkIndexed citations
1 1
2 0
3 0
4 2
5 0
6 11
7 28
8 4
9
Testing and Validation of the Gender-Friendliness Barriers in Nursing Programs Questionnaire: A Confirmatory Factor Analysis
1
10 20
11
Evaluation of Task Characteristics Measurement for Job Design in Simulated Nursing Practice
0
12 4
13 36
14 17
15 2
16 19
17 7
18 147
19 0
20 4

About Hsiang‐Chu Pai

Hsiang‐Chu Pai is a scholar working on Research and Theory, Leadership and Management and Rehabilitation, having authored 57 papers that have together received 814 indexed citations. Recurring topics across this work include Nursing education and management (16 papers), Stroke Rehabilitation and Recovery (11 papers) and Simulation-Based Education in Healthcare (10 papers). The work is most often cited by research in Research and Theory (95 citations), Leadership and Management (66 citations) and Radiological and Ultrasound Technology (101 citations). Hsiang‐Chu Pai has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Sheuan Lee, Pei‐Ling Wu, Wen‐Jiuan Yen, Yi-Chen Tsai, Bih‐O Lee, Sangkeun Lee, Lee‐Ing Tsao, Tingting Yang, Yuling Huang and Shu‐Yuan Chao. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Advanced Nursing and International Journal of Nursing Studies.

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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