Kung‐Yen Chang

1.4k citations
12 papers · 1.1k indexed · 1 hit paper · h-index 11
Topics
Pluripotent Stem Cells Research (4 papers)Cancer-related molecular mechanisms research (4 papers)RNA Research and Splicing (4 papers)
Partner nations
United States

In The Last Decade

Kung‐Yen Chang

12 papers receiving 1.1k citations

Hit Papers

The long noncoding RNA THRIL regulates TNFα expression th...20132026201720212013100200300400500

Peers

Kung‐Yen Chang
Comparison fields: 5 of 65
  • Molecular Biology 936
  • Cancer Research 780
  • Immunology 150
  • Epidemiology 89
  • Oncology 50
Replace Juliana Blin with:
Juliana Blin France
Demián Cazalla United States
Chenguang Gong United States
Elisa Pesce Italy
Run-Wen Yao China
Arsen O. Batagov Singapore
Vera Huang United States
Shuchi Agrawal‐Singh Denmark
Elik Chapnik Israel
Dmitry N. Lyabin Russia
Kung‐Yen Chang relative to Juliana Blin France Juliana Blin's profile →
Citations per field
00.5×10×14.4×
Juliana Blin · 1×
Citations per year

Countries citing papers authored by Kung‐Yen Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kung‐Yen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kung‐Yen Chang. 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 Kung‐Yen Chang. The network helps show where Kung‐Yen Chang may publish in the future.

Co-authorship network of co-authors of Kung‐Yen Chang

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 55
2 46
3 26
4 9
5 319
6 52
7 22
8 53
9 14
10
The long noncoding RNA THRIL regulates TNFα expression through its interaction with hnRNPLbreakdown →
505
11 12
12 24

About Kung‐Yen Chang

Kung‐Yen Chang is a scholar working on Cancer Research, Virology and Molecular Biology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Cancer-related molecular mechanisms research (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (780 citations), Molecular Biology (936 citations) and Immunology (150 citations). Kung‐Yen Chang has collaborated with scholars based in United States. Frequent co-authors include Tariq M. Rana, Zhonghan Li, Nianwei Lin, Steven R. Head, Ti‐Chun Chao, Veena S. Patil, Jane C. Burns, Chisato Shimizu, Chao‐Shun Yang and Jason Dang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Cancer Research.

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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