Shun‐Dong Dai

57 total papers · 1.2k total citations
47 papers, 910 citations indexed

About

Shun‐Dong Dai is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shun‐Dong Dai has authored 47 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 11 papers in Oncology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shun‐Dong Dai's work include Wnt/β-catenin signaling in development and cancer (18 papers), Cancer-related gene regulation (18 papers) and Medical Imaging and Pathology Studies (7 papers). Shun‐Dong Dai is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (18 papers), Cancer-related gene regulation (18 papers) and Medical Imaging and Pathology Studies (7 papers). Shun‐Dong Dai collaborates with scholars based in China, United States and Sweden. Shun‐Dong Dai's co-authors include Enhua Wang, Yuan Miao, Hong‐Tao Xu, Yang Liu, Yang Han, Juan‐Han Yu, Yue Zhao, Shenyi Jiang, Jing Sun and Youhong Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Shun‐Dong Dai

47 papers receiving 899 citations

Author Peers

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

Author Last Decade Papers Cites
Shun‐Dong Dai 637 233 183 143 102 47 910
Amit J. Sabnis 561 0.9× 245 1.1× 125 0.7× 113 0.8× 104 1.0× 32 948
Rebecca D. Dodd 471 0.7× 193 0.8× 303 1.7× 169 1.2× 155 1.5× 40 892
David J. Konieczkowski 518 0.8× 255 1.1× 110 0.6× 116 0.8× 105 1.0× 39 771
M. Beeram 405 0.6× 451 1.9× 304 1.7× 169 1.2× 56 0.5× 48 854
Joanna Selfe 509 0.8× 197 0.8× 263 1.4× 175 1.2× 193 1.9× 26 813
Morihiro Higo 582 0.9× 254 1.1× 99 0.5× 228 1.6× 140 1.4× 35 838
Juan‐Han Yu 406 0.6× 224 1.0× 198 1.1× 123 0.9× 81 0.8× 62 768
María Peña-Chilet 418 0.7× 270 1.2× 163 0.9× 218 1.5× 72 0.7× 42 831
Takaomi Koga 324 0.5× 310 1.3× 323 1.8× 123 0.9× 77 0.8× 38 814
Guoqing Ru 458 0.7× 271 1.2× 229 1.3× 260 1.8× 52 0.5× 69 931

Countries citing papers authored by Shun‐Dong Dai

Since Specialization
Citations

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

Fields of papers citing papers by Shun‐Dong Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun‐Dong Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Shun‐Dong Dai. A scholar is included among the top collaborators of Shun‐Dong 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 Shun‐Dong Dai. Shun‐Dong 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