Joo Heon Shin

10.6k citations
58 papers · 2.6k indexed · 1 hit paper · h-index 27
Topics
Genetic Associations and Epidemiology (14 papers)Epigenetics and DNA Methylation (13 papers)RNA Research and Splicing (11 papers)

In The Last Decade

Joo Heon Shin

57 papers receiving 2.6k citations

Hit Papers

Distribution, recognition and regulation of non-CpG methy...20132026201720212013100200300400500

Peers

Joo Heon Shin
Comparison fields: 5 of 126
  • Molecular Biology 1.7k
  • Genetics 879
  • Cellular and Molecular Neuroscience 293
  • Cognitive Neuroscience 277
  • Biological Psychiatry 222
Replace Ran Tao with:
Ran Tao United States
Amy Deep‐Soboslay United States
Wen‐Sung Lai Taiwan
Hsien‐Sung Huang United States
Carlo Colantuoni United States
James A. Knowles United States
Tetsuo Ohnishi Japan
Rami Abou Jamra Germany
Pippa A. Thomson United Kingdom
Ben Pickard United Kingdom
Joo Heon Shin relative to Ran Tao United States Ran Tao's profile →
Citations per field
00.5×1.5×
Ran Tao · 1×
Citations per year

Countries citing papers authored by Joo Heon Shin

Since Specialization
Citations

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

Fields of papers citing papers by Joo Heon Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joo Heon Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Joo Heon Shin. A scholar is included among the top collaborators of Joo Heon 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 Joo Heon Shin. Joo Heon 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
#WorkIndexed citations
1 4
2 1
3 10
4 55
5 17
6 61
7 21
8 7
9 23
10 21
11 211
12 16
13 7
14 73
15 59
16 63
17
Distribution, recognition and regulation of non-CpG methylation in the adult mammalian brainbreakdown →
538
18 49
19 27
20
Independent Component Analysis, Princpal Component Analysis and Rough Sets in Hybrid Mammogram Classification
13

About Joo Heon Shin

Joo Heon Shin is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Genetics, having authored 58 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (14 papers), Epigenetics and DNA Methylation (13 papers) and RNA Research and Splicing (11 papers). The work is most often cited by research in Biological Psychiatry (222 citations), Behavioral Neuroscience (122 citations) and Genetics (879 citations). Joo Heon Shin has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Thomas M. Hyde, Daniel R. Weinberger, Joel E. Kleinman, Andrew E. Jaffe, Yuan Gao, Ran Tao, Leonardo Collado‐Torres, Bin Xie, Amy Deep‐Soboslay and Guo‐li Ming. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

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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