Shu‐Ching Ma

603 total citations
21 papers, 436 citations indexed

About

Shu‐Ching Ma is a scholar working on Sociology and Political Science, General Health Professions and Clinical Psychology. According to data from OpenAlex, Shu‐Ching Ma has authored 21 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 6 papers in General Health Professions and 6 papers in Clinical Psychology. Recurrent topics in Shu‐Ching Ma's work include Workplace Violence and Bullying (9 papers), Healthcare professionals’ stress and burnout (4 papers) and Palliative Care and End-of-Life Issues (4 papers). Shu‐Ching Ma is often cited by papers focused on Workplace Violence and Bullying (9 papers), Healthcare professionals’ stress and burnout (4 papers) and Palliative Care and End-of-Life Issues (4 papers). Shu‐Ching Ma collaborates with scholars based in Taiwan, United Kingdom and Poland. Shu‐Ching Ma's co-authors include Hsiu‐Hung Wang, Hui‐Ying Chiang, Shu‐Yuan Lin, Hsiu‐Fen Hsieh, Tsair‐Wei Chien, Yao‐Mei Chen, Yu‐Chi Li, Huan‐Fang Lee, Yu‐Tung Huang and Yin‐Hsun Feng and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Journal of Medical Internet Research and Journal of Clinical Nursing.

In The Last Decade

Shu‐Ching Ma

18 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu‐Ching Ma Taiwan 15 152 149 113 113 102 21 436
Fatemeh Hajibabaee Iran 16 239 1.6× 59 0.4× 48 0.4× 147 1.3× 131 1.3× 44 581
Hui‐Ying Chiang Taiwan 11 198 1.3× 50 0.3× 100 0.9× 250 2.2× 109 1.1× 18 581
Melanie Murray Australia 13 228 1.5× 39 0.3× 74 0.7× 154 1.4× 84 0.8× 19 512
Maureen Slade United States 9 275 1.8× 86 0.6× 51 0.5× 133 1.2× 56 0.5× 13 540
Said Bodur Türkiye 7 105 0.7× 98 0.7× 109 1.0× 144 1.3× 51 0.5× 28 375
Şeyda Seren İntepeler Türkiye 13 100 0.7× 40 0.3× 84 0.7× 190 1.7× 42 0.4× 52 437
Dominika Vrbnjak Slovenia 10 113 0.7× 42 0.3× 65 0.6× 143 1.3× 82 0.8× 34 442
Brent MacWilliams United States 8 304 2.0× 105 0.7× 42 0.4× 91 0.8× 46 0.5× 14 590
Jiali Liu China 11 372 2.4× 168 1.1× 114 1.0× 78 0.7× 134 1.3× 27 608
Christian N. Burchill United States 8 232 1.5× 69 0.5× 58 0.5× 105 0.9× 30 0.3× 28 445

Countries citing papers authored by Shu‐Ching Ma

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐Ching Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Ching Ma. 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 Shu‐Ching Ma. The network helps show where Shu‐Ching Ma may publish in the future.

Co-authorship network of co-authors of Shu‐Ching Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Ching Ma. A scholar is included among the top collaborators of Shu‐Ching Ma 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 Shu‐Ching Ma. Shu‐Ching Ma 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.
Li, Yu‐Chi, Shu‐Ching Ma, & Hsiu‐Hung Wang. (2025). Emotional Distress in Patients With Cancer: A Cross-Sectional Study. Journal of Nursing Research. 33(5). e415–e415.
3.
Chuang, Chao‐Hua, et al.. (2024). Exploring Caregiver Burden and Related Factors Among Primary Caregivers of Patients With Cancer in Taiwan. Oncology nursing forum. 51(6). E25–E36.
4.
Hsieh, Hsiu‐Fen, et al.. (2022). Occupational burnout and stress of nurses in Taiwan regarding COVID‐19: An intervention with gong medication. Journal of Nursing Management. 30(8). 3909–3917. 14 indexed citations
5.
Li, Yu‐Chi, Yin‐Hsun Feng, Shu‐Ching Ma, & Hsiu‐Hung Wang. (2022). Dignity and Related Factors in Patients with Cancer: A Cross-Sectional Study. Asian Nursing Research. 17(1). 8–14. 5 indexed citations
6.
Hsieh, Hsiu‐Fen, et al.. (2021). Relations between Stress and Depressive Symptoms in Psychiatric Nurses: The Mediating Effects of Sleep Quality and Occupational Burnout. International Journal of Environmental Research and Public Health. 18(14). 7327–7327. 21 indexed citations
7.
Ma, Shu‐Ching, et al.. (2021). The role of workplace bullying in the relationship between occupational burnout and turnover intentions of clinical nurses. Applied Nursing Research. 68. 151483–151483. 30 indexed citations
8.
Hsiao, Chun‐Hui, et al.. (2020). Exploring dementia care competence of nurses working in acute care settings. Journal of Clinical Nursing. 31(13-14). 1972–1982. 15 indexed citations
9.
Li, Yu‐Chi, Yin‐Hsun Feng, Hui‐Ying Chiang, Shu‐Ching Ma, & Hsiu‐Hung Wang. (2020). The Effectiveness of Dignity Therapy as Applied to End-of-Life Patients with Cancer in Taiwan: A Quasi-Experimental Study. Asian Nursing Research. 14(4). 189–195. 14 indexed citations
10.
Ma, Shu‐Ching, Willy Chou, Tsair‐Wei Chien, et al.. (2020). An App for Detecting Bullying of Nurses Using Convolutional Neural Networks and Web-Based Computerized Adaptive Testing: Development and Usability Study. JMIR mhealth and uhealth. 8(5). e16747–e16747. 15 indexed citations
11.
Wang, Hsiu‐Hung, et al.. (2019). The mediating role of self-efficacy in the relationship between workplace bullying, mental health and an intention to leave among nurses in Taiwan. International Journal of Occupational Medicine and Environmental Health. 32(2). 245–254. 34 indexed citations
12.
Chiang, Hui‐Ying, Huan‐Fang Lee, Shu‐Yuan Lin, & Shu‐Ching Ma. (2019). Factors contributing to voluntariness of incident reporting among hospital nurses. Journal of Nursing Management. 27(4). 806–814. 20 indexed citations
13.
14.
Ma, Shu‐Ching, Hsiu‐Hung Wang, & Tsair‐Wei Chien. (2017). A new technique to measure online bullying: online computerized adaptive testing. Annals of General Psychiatry. 16(1). 26–26. 15 indexed citations
15.
Ma, Shu‐Ching, Hsiu‐Hung Wang, & Tsair‐Wei Chien. (2017). Hospital nurses’ attitudes, negative perceptions, and negative acts regarding workplace bullying. Annals of General Psychiatry. 16(1). 33–33. 20 indexed citations
16.
Hsieh, Hsiu‐Fen, et al.. (2016). Association among components of resilience and workplace violence‐related depression among emergency department nurses in Taiwan: a cross‐sectional study. Journal of Clinical Nursing. 25(17-18). 2639–2647. 55 indexed citations
17.
Ma, Shu‐Ching, et al.. (2014). Applying Computerized Adaptive Testing to the Negative Acts Questionnaire-Revised: Rasch Analysis of Workplace Bullying. Journal of Medical Internet Research. 16(2). e50–e50. 22 indexed citations
18.
Ma, Shu‐Ching, et al.. (2011). [Concept analysis of workplace bullying].. PubMed. 58(4). 81–6. 5 indexed citations
19.
Chiang, Hui‐Ying, et al.. (2010). Factors determining hospital nurses' failures in reporting medication errors in Taiwan. Nursing Outlook. 58(1). 17–25. 90 indexed citations
20.
Lin, Chien‐Ho, et al.. (2007). [Evaluation of the reliability and validity of the Chinese version of the confusion assessment method for the intensive care unit].. PubMed. 54(4). 45–52. 23 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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