Jonghyun Yun

874 citations
14 papers · 604 indexed · 1 hit paper · h-index 8
Topics
RNA modifications and cancer (4 papers)RNA Research and Splicing (4 papers)RNA and protein synthesis mechanisms (3 papers)
Journals
ScienceNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Jonghyun Yun

12 papers receiving 597 citations

Hit Papers

Poly-dipeptides encoded by the C9orf72 repeats bind nucle...20142026201820222014100200300400

Peers

Jonghyun Yun
Comparison fields: 5 of 78
  • Molecular Biology 396
  • Neurology 302
  • Genetics 188
  • Cellular and Molecular Neuroscience 89
  • Physiology 47
Replace Satoshi Yokoi with:
Satoshi Yokoi Japan
Zamia Diaz United States
Tina Kovalik United States
Nipun A. Mistry United States
Marta Gromicho Portugal
Lingtao Peng China
Alfredo Iacoangeli United Kingdom
Jill E. Moore United States
Matthew Nolan United Kingdom
Israel Ben‐Dor Israel
Jonghyun Yun relative to Satoshi Yokoi Japan Satoshi Yokoi's profile →
Citations per field
00.5×3.1×
Satoshi Yokoi · 1×
Citations per year

Countries citing papers authored by Jonghyun Yun

Since Specialization
Citations

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

Fields of papers citing papers by Jonghyun Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonghyun Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Jonghyun Yun. A scholar is included among the top collaborators of Jonghyun Yun 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 Jonghyun Yun. Jonghyun Yun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 0
3 8
4 2
5 4
6 5
7 16
8 3
9 9
10 9
11
Poly-dipeptides encoded by the C9orf72 repeats bind nucleoli, impede RNA biogenesis, and kill cellsbreakdown →
465
12 7
13 69
14 7

About Jonghyun Yun

Jonghyun Yun is a scholar working on Statistics and Probability, Radiological and Ultrasound Technology and Numerical Analysis, having authored 14 papers that have together received 604 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), RNA Research and Splicing (4 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Neurology (302 citations), Genetics (188 citations) and Molecular Biology (396 citations). Jonghyun Yun has collaborated with scholars based in United States, South Korea and Malta. Frequent co-authors include Masato Kato, Siheng Xiang, Tao Wang, Yang Xie, Leeju C. Wu, Jiwoong Kim, Ilmin Kwon, Steven L. McKnight, Joshua T. Mendell and Min Soo Kim. Their work appears in journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

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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