Chuanyin Dai

35 total papers · 515 total citations
28 papers, 387 citations indexed

About

Chuanyin Dai is a scholar working on Genetics, Ecology and Molecular Biology. According to data from OpenAlex, Chuanyin Dai has authored 28 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 11 papers in Ecology and 9 papers in Molecular Biology. Recurrent topics in Chuanyin Dai's work include Genetic diversity and population structure (12 papers), Wildlife Ecology and Conservation (9 papers) and Genomics and Phylogenetic Studies (6 papers). Chuanyin Dai is often cited by papers focused on Genetic diversity and population structure (12 papers), Wildlife Ecology and Conservation (9 papers) and Genomics and Phylogenetic Studies (6 papers). Chuanyin Dai collaborates with scholars based in China, Taiwan and Kenya. Chuanyin Dai's co-authors include Fumin Lei, Xiaojun Yang, Na Zhao, Gang Song, Yanhua Qu, Ruiying Zhang, Wenjuan Wang, Chunlan Zhang, Shou‐Hsien Li and Shi‐Guo Sun and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of Biogeography.

In The Last Decade

Chuanyin Dai

28 papers receiving 382 citations

Author Peers

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

Author Last Decade Papers Cites
Chuanyin Dai 232 139 116 102 77 28 387
Josselin Cornuault 164 0.7× 142 1.0× 147 1.3× 109 1.1× 94 1.2× 20 405
Thomas J. McGreevy 218 0.9× 162 1.2× 79 0.7× 57 0.6× 76 1.0× 23 393
Claudio S. Quilodrán 247 1.1× 176 1.3× 75 0.6× 63 0.6× 69 0.9× 36 415
Anna M. Kearns 278 1.2× 171 1.2× 101 0.9× 104 1.0× 76 1.0× 27 394
Jessica A. Oswald 157 0.7× 156 1.1× 135 1.2× 154 1.5× 110 1.4× 27 405
Phred M. Benham 208 0.9× 206 1.5× 129 1.1× 114 1.1× 78 1.0× 33 415
Eugenia Zarza 216 0.9× 139 1.0× 133 1.1× 75 0.7× 64 0.8× 27 413
Megan Ruffley 174 0.8× 113 0.8× 97 0.8× 116 1.1× 93 1.2× 16 345
Chih‐Ming Hung 172 0.7× 197 1.4× 93 0.8× 68 0.7× 47 0.6× 28 417
Tri Haryoko 196 0.8× 110 0.8× 105 0.9× 55 0.5× 54 0.7× 31 416

Countries citing papers authored by Chuanyin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Chuanyin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuanyin Dai. 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 Chuanyin Dai. The network helps show where Chuanyin Dai may publish in the future.

Co-authorship network of co-authors of Chuanyin Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Chuanyin Dai. A scholar is included among the top collaborators of Chuanyin Dai 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 Chuanyin Dai. Chuanyin Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026