Chen-Pin Wang
Impact in
- Geriatrics and Gerontology top 5%
- Frailty in Older Adults
- Aging top 10%
Papers in
-
- Diabetes Management and Education 4
- Diabetes Treatment and Management 2
-
- Chronic Disease Management Strategies 3
- Co-authors
- C. Hendricks Brown (1 shared paper)Karen Bandeen‐Roche (1 shared paper)Jack Darkes (1 shared paper)Frances K. Del Boca (1 shared paper)Paul E. Greenbaum (1 shared paper)Mark S. Goldman (1 shared paper)Mary Jo Pugh (8 shared papers)Carlos Lorenzo (3 shared papers)
- Journals
- Diabetes Care (3 papers)Cell Reports (2 papers)Journal of General Internal Medicine (2 papers)General Hospital Psychiatry (1 paper)Journal of Consulting and Clinical Psychology (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Chen-Pin Wang
37 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 135
- Geriatrics and Gerontology 61
- Aging 20
- Applied Psychology 40
- Epidemiology 236
- Statistics and Probability 63
Countries citing papers authored by Chen-Pin Wang
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
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.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 193 | |
| 2 | 2005 | 147 | |
| 3 | 2013 | 111 | |
| 4 | 2017 | 105 | |
| 5 | 2020 | 71 | |
| 6 | 2010 | 61 | |
| 7 | 2015 | 60 | |
| 8 | 2007 | 53 | |
| 9 | 2012 | 49 | |
| 10 | 2016 | 48 | |
| 11 | 2010 | 45 | |
| 12 | 2019 | 44 | |
| 13 | 2011 | 38 | |
| 14 | 2021 | 28 | |
| 15 | 2015 | 25 | |
| 16 | 2013 | 24 | |
| 17 | 2016 | 20 | |
| 18 | 2016 | 20 | |
| 19 | 2014 | 19 | |
| 20 | 2019 | 19 |
About Chen-Pin Wang
Chen-Pin Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Statistics and Probability, Molecular Biology and Surgery, 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 (4 papers), Statistical Methods and Inference (3 papers), Chronic Disease Management Strategies (3 papers), Primary Care and Health Outcomes (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Diabetes Treatment and Management (2 papers) and Obesity and Health Practices (2 papers). The work is most often cited by research in Geriatrics and Gerontology (61 citations), Aging (20 citations), Applied Psychology (40 citations), Epidemiology (236 citations) and Statistics and Probability (63 citations). Chen-Pin Wang has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include C. Hendricks Brown, Karen Bandeen‐Roche, Jack Darkes, Frances K. Del Boca, Paul E. Greenbaum, Mark S. Goldman, Mary Jo Pugh, Carlos Lorenzo, Sara Espinoza and Helen P. Hazuda. Their work appears in journals such as Diabetes Care, Cell Reports, Journal of General Internal Medicine, General Hospital Psychiatry and Journal of Consulting and Clinical Psychology.
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.