Tsung‐Lan Chu

37 papers receiving 1.0k citations

Peers

Tsung‐Lan Chu
Comparison fields: 5 of 100
  • Research and Theory 68
  • Leadership and Management 38
  • Health 148
  • Neuropsychology and Physiological Psychology 18
  • Organizational Behavior and Human Resource Management 101
Replace Ching‐Yu Cheng with:
Ching‐Yu Cheng Taiwan
Mary T. Quinn Griffin United States
Jennifer Lapum Canada
David Arthur Hong Kong
Ada Kerkstra Netherlands
Jin Jun United States
Fiona Murphy United Kingdom
Paul Maurice Conway Denmark
Madeleine Estryn‐Béhar France
Åshild Slettebø Norway
Tsung‐Lan Chu relative to Ching‐Yu Cheng Taiwan Ching‐Yu Cheng's profile →
Citations per field
00.5×3.6×
Ching‐Yu Cheng · 1×
Citations per year

Countries citing papers authored by Tsung‐Lan Chu

Since Specialization
Citations

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

Fields of papers citing papers by Tsung‐Lan Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006111
2 201581
3 200974
4 201567
5 201857
6 201855
7 201945
8 201943
9 201939
10 200438
11 201037
12 201736
13 201834
14 201934
15 202128
16 202025
17 201723
18 201122
19 200821
20 201217

About Tsung‐Lan Chu

Tsung‐Lan Chu is a scholar working on Health, General Health Professions, Research and Theory, Social Psychology and Sociology and Political Science, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Religion, Spirituality, and Psychology (7 papers), Nursing education and management (4 papers), Pain Management and Opioid Use (2 papers), Pediatric Pain Management Techniques (2 papers), Healthcare professionals’ stress and burnout (2 papers), Cancer survivorship and care (2 papers), Family Support in Illness (2 papers) and Patient Safety and Medication Errors (1 paper). The work is most often cited by research in Research and Theory (68 citations), Leadership and Management (38 citations), Health (148 citations), Neuropsychology and Physiological Psychology (18 citations) and Organizational Behavior and Human Resource Management (101 citations). Tsung‐Lan Chu has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include Ching‐I Teng, Hao‐Yuan Chang, Yi‐Chien Chiang, Ya‐Chu Hsiao, Yea‐Ing Lotus Shyu, May‐Kuen Wong, Hsiang‐Chun Lee, Chin‐Yen Han, Daniel Friesner and Shu‐Yuan Chao. Their work appears in journals such as Journal of Nursing Research, Journal of Advanced Nursing, Cancer Nursing, Journal of Clinical Nursing and Journal of Nursing Management.

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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