Chen-Pin Wang

1.6k citations
37 papers · 1.3k · h-index 19

Impact in

Papers in

    • Diabetes Management and Education 5
    • Diabetes Treatment and Management 4
    • Diabetes, Cardiovascular Risks, and Lipoproteins 4
    • Diabetes Management and Research 3
    • Chronic Disease Management Strategies 4

Chen-Pin Wang

37 papers receiving 1.2k citations

Peers

Chen-Pin Wang
Comparison fields: 5 of 136
  • Geriatrics and Gerontology 94
  • Applied Psychology 61
  • Aging 19
  • Endocrinology, Diabetes and Metabolism 174
  • Epidemiology 309
Replace Joni V. Lindbohm with:
Joni V. Lindbohm Finland
Anne M. May Netherlands
Robert J. Romanelli United States
Robert L. Rhyne United States
Scott M. Ratliff United States
Jordan Weiss United States
Joan L. Pinsky United States
Kenneth Adams United States
Avishek Nagi United States
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Citations per field
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Citations per year

Countries citing papers authored by Chen-Pin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chen-Pin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen-Pin Wang. 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 Chen-Pin Wang. The network helps show where Chen-Pin Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005189
2 2005145
3 2013108
4 2017101
5 202066
6 201061
7 201559
8 200753
9 201249
10 201644
11 201044
12 201944
13 201138
14 202127
15 201525
16 201323
17 201620
18 201919
19 201419
20 201617

About Chen-Pin Wang

Chen-Pin Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery, Molecular Biology and Geriatrics and Gerontology, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (5 papers), Diabetes Management and Education (5 papers), Frailty in Older Adults (5 papers), Diabetes Treatment and Management (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Chronic Disease Management Strategies (4 papers) and Diabetes Management and Research (3 papers). The work is most often cited by research in Geriatrics and Gerontology (94 citations), Applied Psychology (61 citations), Aging (19 citations), Endocrinology, Diabetes and Metabolism (174 citations) and Epidemiology (309 citations). Chen-Pin Wang has collaborated with scholars based in United States, Cameroon and Germany. Frequent co-authors include Karen Bandeen‐Roche, C. Hendricks Brown, Mark S. Goldman, Frances K. Del Boca, Jack Darkes, Paul E. Greenbaum, Mary Jo Pugh, Sara Espinoza, Carlos Lorenzo and Helen P. Hazuda. Their work appears in journals such as Diabetes Care, Cell Reports, Journal of General Internal Medicine, Journal of Consulting and Clinical Psychology and Clinical Gastroenterology and Hepatology.

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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