Shung‐Mei Pan

484 citations
12 papers · 367 indexed · h-index 9

Shung‐Mei Pan

12 papers receiving 340 citations

Peers

Shung‐Mei Pan
Comparison fields: 5 of 75
  • Leadership and Management 10
  • General Health Professions 148
  • Research and Theory 5
  • Clinical Psychology 86
  • Social Psychology 74
Replace Carmen Ropero‐Padilla with:
Carmen Ropero‐Padilla Spain
Jialiang Fu China
Maria João Monteiro Portugal
Badr K. Aldhmadi Saudi Arabia
John Rae Australia
Megan Kennedy Canada
Daniel R. Malcom United States
Gil P. Soriano Philippines
Manal Kleib Canada
Michael O’Donnell United States
Shung‐Mei Pan relative to Carmen Ropero‐Padilla Spain Carmen Ropero‐Padilla's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shung‐Mei Pan

Since Specialization
Citations

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

Fields of papers citing papers by Shung‐Mei Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shung‐Mei Pan. 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 Shung‐Mei Pan. The network helps show where Shung‐Mei Pan may publish in the future.

Co-authorship network

The 22 scholars most cited alongside Shung‐Mei Pan, 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 Shung‐Mei Pan Line = papers co-authored together Shung‐Mei Pan links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201552
2 201412
3 20144
4 20099
5 200778
6 200616
7 200639
8 20055
9 20056
10 200471
11 200163
12
Prevalence and correlates of substance use among clinical nurses in Kaohsiung city.
200112

About Shung‐Mei Pan

Shung‐Mei Pan is a scholar working on General Health Professions, Organizational Behavior and Human Resource Management and Experimental and Cognitive Psychology, having authored 12 papers that have together received 367 indexed citations. Recurring topics across this work include Workplace Health and Well-being (3 papers), Healthcare professionals’ stress and burnout (3 papers), Biomedical Text Mining and Ontologies (2 papers), Sleep and Work-Related Fatigue (2 papers), Rough Sets and Fuzzy Logic (2 papers), Job Satisfaction and Organizational Behavior (2 papers), Data Mining Algorithms and Applications (2 papers) and LGBTQ Health, Identity, and Policy (2 papers). The work is most often cited by research in Leadership and Management (10 citations), General Health Professions (148 citations) and Research and Theory (5 citations). Shung‐Mei Pan has collaborated with scholars based in Taiwan, Slovenia and United States. Frequent co-authors include Yao‐Mei Chen, Fu‐ren Lin, Nai‐Ying Ko, Juhani Ilmarinen, Mao‐Jiun J. Wang, Chih‐Wei Lu, Ming‐Chu Feng, Masaharu Kumashiro, Jui‐Ying Feng and Ming‐Tsang Wu. Their work appears in journals such as Occupational and Environmental Medicine, International Journal of Medical Informatics and American Journal of Infection Control.

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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