Chen‐Pin Wang
Impact in
- Geriatrics and Gerontology top 5%
- Frailty in Older Adults
- Aging top 10%
Papers in
-
- Statistical Methods and Bayesian Inference 10
- Statistical Methods and Inference 6
- Advanced Causal Inference Techniques 5
-
- Frailty in Older Adults 5
- Co-authors
- Mary Jo Pugh (27 shared papers)Sara E Espinoza (12 shared papers)Carlos Lorenzo (5 shared papers)C. Hendricks Brown (2 shared papers)Karen Bandeen‐Roche (1 shared paper)Booil Jo (6 shared papers)Laurel Anne Copeland (11 shared papers)Paul E. Greenbaum (1 shared paper)
- Journals
- Journal of the American College of Surgeons (3 papers)Journal of General Internal Medicine (3 papers)Diabetes Care (3 papers)PLoS ONE (3 papers)Neurology (3 papers)
- Partner nations
- United StatesItalyPhilippines
In The Last Decade
Chen‐Pin Wang
96 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 147
- Geriatrics and Gerontology 115
- Aging 30
- Statistics and Probability 100
- Epidemiology 358
- Applied Psychology 44
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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 195 | |
| 2 | 2005 | 155 | |
| 3 | 2013 | 116 | |
| 4 | 2017 | 112 | |
| 5 | 2020 | 74 | |
| 6 | 2015 | 64 | |
| 7 | 2010 | 62 | |
| 8 | 2016 | 60 | |
| 9 | 2007 | 56 | |
| 10 | Frailty Attenuates the Impact of Metformin on Reducing Mortality in Older Adults with Type 2 Diabetes. | 2014 | 52 |
| 11 | 2012 | 51 | |
| 12 | 2016 | 49 | |
| 13 | 2010 | 47 | |
| 14 | 2019 | 45 | |
| 15 | 2011 | 40 | |
| 16 | 2022 | 39 | |
| 17 | 2021 | 35 | |
| 18 | 2022 | 31 | |
| 19 | 2021 | 31 | |
| 20 | 2019 | 30 |
About Chen‐Pin Wang
Chen‐Pin Wang is a scholar working on Statistics and Probability, Geriatrics and Gerontology, Endocrinology, Diabetes and Metabolism, Epidemiology and Emergency Medicine, having authored 97 papers that have together received 2.1k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (10 papers), Statistical Methods and Inference (6 papers), Frailty in Older Adults (5 papers), Advanced Causal Inference Techniques (5 papers), Traumatic Brain Injury Research (5 papers), Diabetes Management and Education (4 papers), Mental Health Research Topics (4 papers) and Chronic Disease Management Strategies (3 papers). The work is most often cited by research in Geriatrics and Gerontology (115 citations), Aging (30 citations), Statistics and Probability (100 citations), Epidemiology (358 citations) and Applied Psychology (44 citations). Chen‐Pin Wang has collaborated with scholars based in United States, Italy and Philippines. Frequent co-authors include Mary Jo Pugh, Sara E Espinoza, Carlos Lorenzo, C. Hendricks Brown, Karen Bandeen‐Roche, Booil Jo, Laurel Anne Copeland, Paul E. Greenbaum, Mark S. Goldman and Frances K. Del Boca. Their work appears in journals such as Journal of the American College of Surgeons, Journal of General Internal Medicine, Diabetes Care, PLoS ONE and Neurology.
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.