Wei Pan

130 papers receiving 3.5k citations

Wei Pan's Hit Papers

Recalculation of the Critical Values for Lawshe’s Content Validity Ratio 2012 · 468 citations
4680+4+9Years since publication100200300400

Peers

Wei Pan
Comparison fields: 5 of 188
  • Periodontics 125
  • Applied Psychology 96
  • Speech and Hearing 113
  • General Health Professions 420
  • Experimental and Cognitive Psychology 229
Replace Adam C. Carle with:
Adam C. Carle United States
Debbie Smith United Kingdom
Sara B. Johnson United States
Lynette R. Goldberg Australia
Tim Rapley United Kingdom
Ian Plewis United Kingdom
Sarah Nettleton United Kingdom
Gordon Willis United States
Helene Starks United States
Jennifer L. Hay United States
Wei Pan relative to Adam C. Carle United States Adam C. Carle's profile →
Citations per field
00.5×1.5×
Adam C. Carle · 1×
Citations per year

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 142 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 →
2012468
2 2013399
3 2010247
4 2008126
5 2005103
6
Propensity score analysis : fundamentals and developments
201592
7 201389
8 201782
9 200882
10 201275
11 200571
12 201562
13 201060
14 201760
15 201959
16 201056
17 200554
18 200850
19 200949
20 201049

About Wei Pan

Wei Pan is a scholar working on Oncology, Clinical Psychology, Sociology and Political Science, Education and Social Psychology, having authored 142 papers that have together received 3.7k 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), Hip and Femur Fractures (5 papers), Chronic Disease Management Strategies (4 papers) and Cancer-related cognitive impairment studies (4 papers). The work is most often cited by research in Periodontics (125 citations), Applied Psychology (96 citations), Speech and Hearing (113 citations), General Health Professions (420 citations) and Experimental and Cognitive Psychology (229 citations). Wei Pan has collaborated with scholars based in United States, China and Jordan. Frequent co-authors include F. Robert Wilson, Donald A. Schumsky, Haiyan Bai, Shuyan Sun, Lihshing Leigh Wang, Yin Xu, Bei Wu, Yulu Liu, Wenhui Wang and Xing‐Long Wu. Their work appears in journals such as Journal of the American Medical Directors Association, Cancer Nursing, PLoS ONE, Journal of Behavioral Medicine 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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