Chanseok Shin

10.3k total citations · 3 hit papers
61 papers, 7.3k citations indexed

About

Chanseok Shin is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Chanseok Shin has authored 61 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 27 papers in Plant Science and 21 papers in Cancer Research. Recurrent topics in Chanseok Shin's work include MicroRNA in disease regulation (20 papers), Plant Molecular Biology Research (17 papers) and RNA Research and Splicing (17 papers). Chanseok Shin is often cited by papers focused on MicroRNA in disease regulation (20 papers), Plant Molecular Biology Research (17 papers) and RNA Research and Splicing (17 papers). Chanseok Shin collaborates with scholars based in South Korea, United States and Puerto Rico. Chanseok Shin's co-authors include David P. Bartel, Daehyun Baek, Judit Villén, Fernando D. Camargo, Steven P. Gygi, James L. Manley, Phillip D. Zamore, Yukihide Tomari, Christian B. Matranga and George W. Bell and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Chanseok Shin

61 papers receiving 7.2k citations

Hit Papers

The impact of microRNAs on protein output 2005 2026 2012 2019 2008 2005 2011 500 1000 1.5k 2.0k 2.5k

Peers

Chanseok Shin
Comparison fields: 5 of 133
  • Molecular Biology 5.9k
  • Cancer Research 4.2k
  • Plant Science 784
  • Immunology 521
  • Genetics 296
Replace Marc R. Fabian with:
Marc R. Fabian Canada
Yoontae Lee South Korea
Minju Ha South Korea
Harpreet K. Saini United Kingdom
Mo‐Fang Liu China
Philip W. Garrett-Engele United States
Caifu Chen United States
David G. Hendrickson United States
Ana Kozomara United Kingdom
Martin Sauvageau Canada
Marc R. Fabian Canada View profile →
Citations per field, relative to Chanseok Shin
Chanseok Shin · 1×
Citations per year, relative to Chanseok Shin
Chanseok Shin · 1×

Countries citing papers authored by Chanseok Shin

Since Specialization
Citations

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

Fields of papers citing papers by Chanseok Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chanseok Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Chanseok Shin. A scholar is included among the top collaborators of Chanseok 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 Chanseok Shin. Chanseok 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 6
2 2
3 1
4 7
5 8
6 4
7 2
8 10
9 55
10 11
11 26
12 13
13 53
14 37
15 8
16 49
17 51
18
Expanding the MicroRNA Targeting Code: Functional Sites with Centered Pairing
3
19 471
20 161

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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