Pei‐Ling Wu

30 papers receiving 298 citations

Peers

Pei‐Ling Wu
Comparison fields: 5 of 102
  • Research and Theory 30
  • Leadership and Management 21
  • Issues, ethics and legal aspects 11
  • Obstetrics and Gynecology 35
  • Reproductive Medicine 36
Replace Keren Grinberg with:
Keren Grinberg Israel
Yael Sela Israel
Belgin Akın Türkiye
Jansirani Natarajan Oman
Jennifer L. Johnston United Kingdom
Jill Peltzer United States
Brigid Lusk United States
Denise Webster United States
Joel Stocker Taiwan
Agnes Diemers Netherlands
Pei‐Ling Wu relative to Keren Grinberg Israel Keren Grinberg's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pei‐Ling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Ling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei‐Ling Wu. 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 Pei‐Ling Wu. The network helps show where Pei‐Ling Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201873
2 200436
3 202128
4 201827
5
Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S): Evidence of Measurement Invariance Across Five Countries
202221
6 201820
7 202115
8 202411
9 201310
10 201410
11 202110
12 20228
13 20175
14 20214
15 20214
16 20243
17 20213
18 20232
19 20192
20 20232

About Pei‐Ling Wu

Pei‐Ling Wu is a scholar working on Leadership and Management, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Research and Theory and General Health Professions, having authored 34 papers that have together received 305 indexed citations. Recurring topics across this work include Healthcare Education and Workforce Issues (7 papers), Nursing education and management (5 papers), Neonatal Respiratory Health Research (5 papers), Restless Legs Syndrome Research (2 papers), Healthcare professionals’ stress and burnout (2 papers), Workplace Violence and Bullying (2 papers), Infant Development and Preterm Care (2 papers) and Balance, Gait, and Falls Prevention (2 papers). The work is most often cited by research in Research and Theory (30 citations), Leadership and Management (21 citations), Issues, ethics and legal aspects (11 citations), Obstetrics and Gynecology (35 citations) and Reproductive Medicine (36 citations). Pei‐Ling Wu has collaborated with scholars based in Taiwan, South Korea and United States. Frequent co-authors include Hsiang‐Chu Pai, Meng‐Hsing Wu, Chao‐Chin Hsu, Bei‐Chang Yang, Bih‐O Lee, Wen‐Jiuan Yen, San‐Nan Yang, Yung‐Ning Yang, Hsiu‐Lin Chen and Chien‐Chang Ho. Their work appears in journals such as Nurse Education Today, Journal of Clinical Nursing, Nursing Research, International Journal of Environmental Research and Public Health 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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