Che-Kun James Shen

2.2k citations
43 papers · 1.7k indexed · h-index 23
Topics
Amyotrophic Lateral Sclerosis Research (9 papers)Epigenetics and DNA Methylation (8 papers)RNA modifications and cancer (7 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Che-Kun James Shen

43 papers receiving 1.7k citations

Peers

Che-Kun James Shen
Comparison fields: 5 of 107
  • Molecular Biology 1.1k
  • Neurology 515
  • Genetics 370
  • Physiology 202
  • Genetics 179
Replace Cristina Cheroni with:
Cristina Cheroni Italy
Thomas Schmitt‐John Germany
Rory Kirchner United States
Fiona M. Menzies United Kingdom
Péter L. Nagy United States
Liqun Liu‐Yesucevitz United States
Ivan T. Shaw Canada
Thomas M. Durcan Canada
Zheng Ying China
Eva Teuling Netherlands
Che-Kun James Shen relative to Cristina Cheroni Italy Cristina Cheroni's profile →
Citations per field
00.5×1.5×1.9×
Cristina Cheroni · 1×
Citations per year

Countries citing papers authored by Che-Kun James Shen

Since Specialization
Citations

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

Fields of papers citing papers by Che-Kun James Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Che-Kun James Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Che-Kun James Shen. A scholar is included among the top collaborators of Che-Kun James Shen 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 Che-Kun James Shen. Che-Kun James Shen 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 30
2 7
3 40
4 79
5 9
6 68
7 12
8 45
9 52
10 9
11 84
12 135
13 55
14 11
15 16
16 125
17 17
18 18
19 14
20 57

About Che-Kun James Shen

Che-Kun James Shen is a scholar working on Genetics, Neurology and Developmental Neuroscience, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (9 papers), Epigenetics and DNA Methylation (8 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Genetics (370 citations), Neurology (515 citations) and Neurology (128 citations). Che-Kun James Shen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Sean Chun-Chang Chen, Kuen‐Jer Tsai, Pritha Majumder, John E. Hearst, Kuen‐Haur Lee, Chi‐Chen Huang, Yu‐Chiau Shyu, Carl W. Schmid, Wei‐Ting Wang and Ching‐Po Lin. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids 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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