Chen-Pin Wang

40 total papers · 1.6k total citations
37 papers, 1.3k citations indexed

About

Chen-Pin Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery. According to data from OpenAlex, Chen-Pin Wang has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Epidemiology and 5 papers in Surgery. Recurrent topics in Chen-Pin Wang's work include Statistical Methods and Bayesian Inference (5 papers), Diabetes Management and Education (5 papers) and Frailty in Older Adults (5 papers). Chen-Pin Wang is often cited by papers focused on Statistical Methods and Bayesian Inference (5 papers), Diabetes Management and Education (5 papers) and Frailty in Older Adults (5 papers). Chen-Pin Wang collaborates with scholars based in United States, Cameroon and Germany. Chen-Pin Wang's co-authors include C. Hendricks Brown, Karen Bandeen‐Roche, Mark S. Goldman, Jack Darkes, Frances K. Del Boca, Paul E. Greenbaum, Mary Jo Pugh, Carlos Lorenzo, Sara Espinoza and Helen P. Hazuda and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Diabetes Care.

In The Last Decade

Chen-Pin Wang

37 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chen-Pin Wang 307 202 173 160 141 37 1.3k
Joni V. Lindbohm 271 0.9× 297 1.5× 136 0.8× 188 1.2× 157 1.1× 33 1.8k
Jenny Tran 299 1.0× 82 0.4× 155 0.9× 110 0.7× 104 0.7× 31 1.8k
Constantinos Koshiaris 236 0.8× 207 1.0× 177 1.0× 84 0.5× 126 0.9× 56 1.6k
Jessica E. Lockery 163 0.5× 151 0.7× 103 0.6× 113 0.7× 106 0.8× 44 1.3k
Afshin Vafaei 296 1.0× 177 0.9× 103 0.6× 244 1.5× 52 0.4× 65 1.5k
Ruzan Udumyan 340 1.1× 138 0.7× 68 0.4× 139 0.9× 108 0.8× 48 1.7k
Rebecca Holman 298 1.0× 113 0.6× 120 0.7× 114 0.7× 55 0.4× 52 1.5k
Pyry N. Sipilä 211 0.7× 233 1.2× 108 0.6× 206 1.3× 101 0.7× 29 1.3k
Suzanne M. Lloyd 512 1.7× 152 0.8× 198 1.1× 231 1.4× 168 1.2× 42 1.7k
Sarah Cook 290 0.9× 148 0.7× 105 0.6× 281 1.8× 114 0.8× 75 1.2k

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-authorship network of co-authors of Chen-Pin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chen-Pin Wang. A scholar is included among the top collaborators of Chen-Pin Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chen-Pin Wang. Chen-Pin Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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