Wei Pan

133 papers receiving 3.6k citations

Wei Pan's Hit Papers

Recalculation of the Critical Values for Lawshe’s Content Validity Ratio 2012 · 473 citations
4730+4+9Years since publication100200300400

Peers

Wei Pan
Comparison fields: 5 of 188
  • Periodontics 128
  • Applied Psychology 103
  • Speech and Hearing 119
  • General Health Professions 441
  • Clinical Psychology 375
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Debbie Smith United Kingdom
Adam C. Carle United States
Sara B. Johnson United States
Tim Rapley United Kingdom
Lynette R. Goldberg Australia
Gordon Willis United States
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Virginia Dickson‐Swift Australia
Stacy M. Carter Australia
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Countries citing papers authored by Wei Pan

Since Specialization
Citations

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

Fields of papers citing papers by Wei Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Recalculation of the Critical Values for Lawshe’s Content Validity Ratio
Hit paper breakdown →
2012473
2 2013406
3 2010258
4 2005130
5 2008126
6
Propensity score analysis : fundamentals and developments
201594
7 201391
8 200886
9 201282
10 201782
11 200574
12 201065
13 201564
14 201763
15 201961
16 201058
17 200857
18 200556
19 200951
20 200949

About Wei Pan

Wei Pan is a scholar working on Oncology, General Health Professions, Clinical Psychology, Sociology and Political Science and Education, having authored 146 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cancer survivorship and care (13 papers), Diabetes Management and Education (8 papers), Child and Adolescent Psychosocial and Emotional Development (7 papers), Behavioral Health and Interventions (6 papers), Childhood Cancer Survivors' Quality of Life (6 papers), Health Policy Implementation Science (5 papers), Hip and Femur Fractures (5 papers) and Statistical Methods and Bayesian Inference (4 papers). The work is most often cited by research in Periodontics (128 citations), Applied Psychology (103 citations), Speech and Hearing (119 citations), General Health Professions (441 citations) and Clinical Psychology (375 citations). Wei Pan has collaborated with scholars based in United States, China and Jordan. Frequent co-authors include Donald A. Schumsky, Haiyan Bai, F. Robert Wilson, Shuyan Sun, Lihshing Leigh Wang, Yin Xu, Bei Wu, Weiwei Zhao, Wenhui Wang and Xinran Wang. Their work appears in journals such as Cancer Nursing, Journal of the American Medical Directors Association, Journal of Behavioral Medicine, International Journal of Research & Method in Education and Supportive Care in Cancer.

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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