Yi‐Chung Chen

813 total citations
41 papers, 603 citations indexed

About

Yi‐Chung Chen is a scholar working on Molecular Biology, Surgery and Cell Biology. According to data from OpenAlex, Yi‐Chung Chen has authored 41 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Surgery and 8 papers in Cell Biology. Recurrent topics in Yi‐Chung Chen's work include Zebrafish Biomedical Research Applications (5 papers), Mesenchymal stem cell research (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Yi‐Chung Chen is often cited by papers focused on Zebrafish Biomedical Research Applications (5 papers), Mesenchymal stem cell research (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Yi‐Chung Chen collaborates with scholars based in Taiwan, United States and Japan. Yi‐Chung Chen's co-authors include Sheng‐Ping L. Hwang, Wen‐Hsing Chen, Jih‐Gaw Lin, Chia‐Hsiung Cheng, I-Chen Li, Chin‐Chun Hung, Chang-Jen Huang, Cheng-Ying Chu, Chung‐Hsiang Yang and Ke‐Horng Chen and has published in prestigious journals such as Nucleic Acids Research, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Yi‐Chung Chen

39 papers receiving 596 citations

Peers

Yi‐Chung Chen
Comparison fields: 5 of 111
  • Molecular Biology 245
  • Cell Biology 89
  • Biomedical Engineering 82
  • Genetics 72
  • Cellular and Molecular Neuroscience 69
Replace Björn Neumann with:
Björn Neumann United Kingdom
Yukari Komuta Japan
Luo Guo China
Chun‐Hao Chen United States
Marcella Reguzzoni Italy
Yuanyuan Xie China
Joanne Lau United States
Fu‐I Lu Taiwan
Tiziana Petrachi Italy
Björn Neumann United Kingdom View profile →
Citations per field, relative to Yi‐Chung Chen
Yi‐Chung Chen · 1×
Citations per year, relative to Yi‐Chung Chen
Yi‐Chung Chen · 1×

Countries citing papers authored by Yi‐Chung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Chung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Chung Chen. 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 Yi‐Chung Chen. The network helps show where Yi‐Chung Chen may publish in the future.

Co-authorship network of co-authors of Yi‐Chung Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Chung Chen. A scholar is included among the top collaborators of Yi‐Chung Chen 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 Yi‐Chung Chen. Yi‐Chung Chen 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
# Work Indexed citations
1 0
2 0
3 3
4 3
5 4
6 2
7 6
8 7
9 5
10 7
11 46
12 37
13 24
14 38
15 25
16 7
17 21
18 53
19 10
20 10

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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