Chan Young Shin

8.4k total citations
237 papers, 6.9k citations indexed

About

Chan Young Shin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Chan Young Shin has authored 237 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 74 papers in Cellular and Molecular Neuroscience and 52 papers in Neurology. Recurrent topics in Chan Young Shin's work include Neuroinflammation and Neurodegeneration Mechanisms (41 papers), Neuroscience and Neuropharmacology Research (35 papers) and Autism Spectrum Disorder Research (31 papers). Chan Young Shin is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (41 papers), Neuroscience and Neuropharmacology Research (35 papers) and Autism Spectrum Disorder Research (31 papers). Chan Young Shin collaborates with scholars based in South Korea, United States and Ethiopia. Chan Young Shin's co-authors include Jae Hoon Cheong, Seol‐Heui Han, Jong Hoon Ryu, Ki Chan Kim, Kwang Ho Ko, Kyoung Ja Kwon, Pitna Kim, Chang Soon Choi, Edson Luck Gonzales and Se Jin Jeon and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Journal of Immunology.

In The Last Decade

Chan Young Shin

232 papers receiving 6.8k citations

Peers

Chan Young Shin
Comparison fields: 5 of 154
  • Molecular Biology 2.5k
  • Cellular and Molecular Neuroscience 1.4k
  • Cognitive Neuroscience 1.3k
  • Neurology 1.1k
  • Genetics 1.0k
Replace Hongbing Wang with:
Hongbing Wang United States
Pamela J. Lein United States
Jae Hoon Cheong South Korea
Taku Nagai Japan
Rafael Roesler Brazil
Ming Zhao China
Toshio Matsuda Japan
Jan Krzysztof Blusztajn United States
Dorit Ben‐Shachar Israel
Jie Lu China
Hongbing Wang United States View profile →
Citations per field, relative to Chan Young Shin
Chan Young Shin · 1×
Citations per year, relative to Chan Young Shin
Chan Young Shin · 1×

Countries citing papers authored by Chan Young Shin

Since Specialization
Citations

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

Fields of papers citing papers by Chan Young Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan Young Shin. 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 Chan Young Shin. The network helps show where Chan Young Shin may publish in the future.

Co-authorship network of co-authors of Chan Young Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Chan Young Shin. A scholar is included among the top collaborators of Chan Young Shin 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 Chan Young Shin. Chan Young Shin 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 3
2 2
3 7
4 2
5 1
6 10
7 10
8 10
9 59
10 37
11 28
12 13
13 52
14 1
15 29
16 21
17
Polyadenylation-Dependent Translational Control of New Protein Synthesis at Activated Synapse
0
18 33
19 1
20 7

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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