Shun‐Dong Dai

1.2k citations
47 papers · 917 indexed · h-index 21
Topics
Cancer-related gene regulation (18 papers)Wnt/β-catenin signaling in development and cancer (18 papers)Medical Imaging and Pathology Studies (7 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
Partner nations
ChinaSwedenUnited States

In The Last Decade

Shun‐Dong Dai

47 papers receiving 906 citations

Peers

Shun‐Dong Dai
Comparison fields: 5 of 79
  • Molecular Biology 640
  • Oncology 235
  • Pulmonary and Respiratory Medicine 184
  • Cancer Research 143
  • Cell Biology 102
Replace Juan‐Han Yu with:
Juan‐Han Yu China
Amy S. Woodard United States
Shereen Keleg Germany
Eric D. Young United States
Guiyang Jiang China
Aparna Gupta United States
Nicholas J. Brady United States
William A. May United States
Maozhen Tian United States
Theresa Guise United States
Shun‐Dong Dai relative to Juan‐Han Yu China Juan‐Han Yu's profile →
Citations per field
00.5×1.7×
Juan‐Han Yu · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 2
2 3
3 22
4 2
5 20
6 25
7 18
8 4
9 13
10 35
11 21
12 36
13 33
14 60
15 22
16 28
17 28
18 47
19 7
20 27

About Shun‐Dong Dai

Shun‐Dong Dai is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 917 indexed citations. Recurring topics across this work include Cancer-related gene regulation (18 papers), Wnt/β-catenin signaling in development and cancer (18 papers) and Medical Imaging and Pathology Studies (7 papers). The work is most often cited by research in Cancer Research (143 citations), Molecular Biology (640 citations) and Oncology (235 citations). Shun‐Dong Dai has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Enhua Wang, Yuan Miao, Hong‐Tao Xu, Yang Liu, Yang Han, Juan‐Han Yu, Yue Zhao, Jing Sun, Shenyi Jiang and Xin Tian. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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