Chanseok Shin

10.3k citations
61 papers · 7.3k indexed · 3 hit papers · h-index 27
    • MicroRNA in disease regulation 20
    • RNA Research and Splicing 17
    • RNA Interference and Gene Delivery 13
    • Advanced biosensing and bioanalysis techniques 10
    • RNA modifications and cancer 8
  • Aging top 2%
  • Immunology top 5%
    • Plant and Fungal Interactions Research 8
    • Plant Molecular Biology Research 17
    • Plant Disease Resistance and Genetics 6

Chanseok Shin

61 papers receiving 7.2k citations

Hit Papers

Weak seed-pairing stability and high target-site abundanc...741200520262012201950010001.5k2.0k2.5k

Peers

Chanseok Shin
Comparison fields: 5 of 133
  • Cancer Research 4.2k
  • Molecular Biology 5.9k
  • Aging 92
  • Immunology 521
  • Endocrinology 110
Replace Marc R. Fabian with:
Marc R. Fabian Canada
Ana Kozomara United Kingdom
Eric Huntzinger Germany
Yoontae Lee South Korea
Jin‐Wu Nam South Korea
David G. Hendrickson United States
Harpreet K. Saini United Kingdom
Martin Sauvageau Canada
Benjamin Haley United States
Mali Salmon‐Divon Israel
Chanseok Shin relative to Marc R. Fabian Canada Marc R. Fabian's profile →
Citations per field
00.5×1.5×
Marc R. Fabian · 1×
Citations per year

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

The 25 scholars most cited alongside Chanseok Shin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chanseok Shin Line = papers co-authored together Chanseok Shin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20246
2 20242
3 20231
4 20237
5 20238
6 20234
7 20232
8 202110
9 202155
10 202111
11 201826
12 201713
13 201753
14 201637
15 20168
16 201249
17 201251
18
Expanding the MicroRNA Targeting Code: Functional Sites with Centered Pairing
20103
19 2010471
20 2002161

About Chanseok Shin

Chanseok Shin is a scholar working on Endocrinology, Cancer Research and Plant Science, having authored 61 papers that have together received 7.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (20 papers), Plant Molecular Biology Research (17 papers), RNA Research and Splicing (17 papers), RNA Interference and Gene Delivery (13 papers), Advanced biosensing and bioanalysis techniques (10 papers), Plant and Fungal Interactions Research (8 papers), RNA modifications and cancer (8 papers) and Plant Disease Resistance and Genetics (6 papers). The work is most often cited by research in Cancer Research (4.2k citations), Molecular Biology (5.9k citations) and Aging (92 citations). Chanseok Shin has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent 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. Their work appears in journals such as Nature, Cell 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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