Jeou-Yuan Chen

1.2k citations
26 papers · 986 indexed · h-index 15
Topics
Protein Kinase Regulation and GTPase Signaling (5 papers)Glycosylation and Glycoproteins Research (4 papers)Proteoglycans and glycosaminoglycans research (4 papers)

In The Last Decade

Jeou-Yuan Chen

26 papers receiving 966 citations

Peers

Jeou-Yuan Chen
Comparison fields: 5 of 98
  • Molecular Biology 606
  • Oncology 265
  • Cell Biology 164
  • Cancer Research 139
  • Spectroscopy 135
Replace Brian C.‐S. Liu with:
Brian C.‐S. Liu United States
Gary K. Yiu United States
Brandon J. Metge United States
Ayman Rahman United States
Takahisa Kuga Japan
Alberto Peláez‐García Spain
Alasdair C. Stamps United Kingdom
Motoyoshi Tanaka Japan
Meike de Wit Netherlands
Angela Paul United Kingdom
Jeou-Yuan Chen relative to Brian C.‐S. Liu United States Brian C.‐S. Liu's profile →
Citations per field
00.5×6.2×
Brian C.‐S. Liu · 1×
Citations per year

Countries citing papers authored by Jeou-Yuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jeou-Yuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeou-Yuan 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 Jeou-Yuan Chen. The network helps show where Jeou-Yuan Chen may publish in the future.

Co-authorship network of co-authors of Jeou-Yuan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jeou-Yuan Chen. A scholar is included among the top collaborators of Jeou-Yuan 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 Jeou-Yuan Chen. Jeou-Yuan 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
#WorkIndexed citations
1 18
2 35
3 9
4 21
5 3
6 6
7 114
8 4
9 131
10 2
11 74
12 15
13 12
14 18
15 6
16 40
17 27
18 2
19 14
20 62

About Jeou-Yuan Chen

Jeou-Yuan Chen is a scholar working on Oncology, Molecular Biology and Cell Biology, having authored 26 papers that have together received 986 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Proteoglycans and glycosaminoglycans research (4 papers). The work is most often cited by research in Immunology and Allergy (79 citations), Cell Biology (164 citations) and Oncology (265 citations). Jeou-Yuan Chen has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Mei-Jung Wang, Jia-Lin Lee, Putty‐Reddy Sudhir, Chin‐Wen Chi, Yu‐Ju Chen, Chia‐Feng Tsai, Yi‐Ting Wang, Dennis Livingston, James W. Bodley and Chew-Wun Wu. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Cell Biology.

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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