Yun-Shen Chan

5.1k citations
25 papers · 3.3k indexed · 2 hit papers · h-index 16
Topics
Pluripotent Stem Cells Research (11 papers)CRISPR and Genetic Engineering (10 papers)Renal and related cancers (4 papers)

In The Last Decade

Yun-Shen Chan

22 papers receiving 3.3k citations

Hit Papers

A core Klf circuitry regulates self-renewal of embryonic ...200820262014202020082010100200300400500

Peers

Yun-Shen Chan
Comparison fields: 5 of 100
  • Molecular Biology 3.0k
  • Plant Science 536
  • Genetics 371
  • Cancer Research 288
  • Surgery 263
Replace Stefan Gaubatz with:
Stefan Gaubatz Germany
N. C. Tolga Emre United States
Jiekai Chen China
Yoichiro Shibata United States
Mirei Murakami Japan
Aibin He China
Sergi Aranda Spain
Véronique Pantesco France
Ilse Wieland Germany
Michael Bulger United States
Yun-Shen Chan relative to Stefan Gaubatz Germany Stefan Gaubatz's profile →
Citations per field
00.5×10×13×
Stefan Gaubatz · 1×
Citations per year

Countries citing papers authored by Yun-Shen Chan

Since Specialization
Citations

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

Fields of papers citing papers by Yun-Shen Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun-Shen Chan. 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 Yun-Shen Chan. The network helps show where Yun-Shen Chan may publish in the future.

Co-authorship network of co-authors of Yun-Shen Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Yun-Shen Chan. A scholar is included among the top collaborators of Yun-Shen Chan 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 Yun-Shen Chan. Yun-Shen Chan 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 0
2 1
3 0
4 14
5 18
6 26
7 1
8 26
9 246
10 252
11 152
12 145
13 10
14 300
15 78
16 57
17
Transposable elements have rewired the core regulatory network of human embryonic stem cellsbreakdown →
557
18 367
19 356
20
A core Klf circuitry regulates self-renewal of embryonic stem cellsbreakdown →
589

About Yun-Shen Chan

Yun-Shen Chan is a scholar working on Hepatology, Molecular Biology and Cancer Research, having authored 25 papers that have together received 3.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (10 papers) and Renal and related cancers (4 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Aging (40 citations) and Cancer Research (288 citations). Yun-Shen Chan has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Huck‐Hui Ng, Xinyi Lu, Jianming Jiang, Na‐Yu Chia, Jonathan Göke, Yuin‐Han Loh, Galih Kunarso, Guillaume Bourque, Justin Jeyakani and Guoqing Tong. Their work appears in journals such as Nature, Science and Cell.

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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