Kwon‐Yul Ryu

5.8k citations
55 papers · 2.7k indexed · h-index 23
Topics
Ubiquitin and proteasome pathways (29 papers)Genetics and Neurodevelopmental Disorders (14 papers)Epigenetics and DNA Methylation (12 papers)
Journals
NatureProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología

In The Last Decade

Kwon‐Yul Ryu

55 papers receiving 2.6k citations

Peers

Kwon‐Yul Ryu
Comparison fields: 5 of 114
  • Molecular Biology 1.5k
  • Endocrinology, Diabetes and Metabolism 613
  • Epidemiology 578
  • Genetics 412
  • Cell Biology 307
Replace Roger Abounader with:
Roger Abounader United States
Ignacio Flores Spain
Weijun Pan China
Claudia Nesti Italy
Nicole Wagner France
Peter Rippstein Canada
Marjorie Maillet United States
Giovanni Di Bernardo Italy
Yee Sook Cho South Korea
Aimee D. Kohn United States
Kwon‐Yul Ryu relative to Roger Abounader United States Roger Abounader's profile →
Citations per field
00.5×9.1×
Roger Abounader · 1×
Citations per year

Countries citing papers authored by Kwon‐Yul Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Kwon‐Yul Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwon‐Yul Ryu. 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 Kwon‐Yul Ryu. The network helps show where Kwon‐Yul Ryu may publish in the future.

Co-authorship network of co-authors of Kwon‐Yul Ryu

This figure shows the co-authorship network connecting the top 25 collaborators of Kwon‐Yul Ryu. A scholar is included among the top collaborators of Kwon‐Yul Ryu 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 Kwon‐Yul Ryu. Kwon‐Yul Ryu 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 14
2 57
3 23
4 1
5 10
6 3
7 13
8 1
9 28
10 144
11 11
12 14
13 13
14 18
15 15
16 83
17 22
18 156
19 42
20 418

About Kwon‐Yul Ryu

Kwon‐Yul Ryu is a scholar working on Developmental Neuroscience, Endocrinology, Diabetes and Metabolism and Genetics, having authored 55 papers that have together received 2.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (29 papers), Genetics and Neurodevelopmental Disorders (14 papers) and Epigenetics and DNA Methylation (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (613 citations), Molecular Biology (1.5k citations) and Cell Biology (307 citations). Kwon‐Yul Ryu has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sissy Jhiang, Ron R. Kopito, Patricia A. Smanik, Ernest L. Mazzaferri, Seung-Woo Han, Qing‐Rong Liu, Shunhua Xing, Byung-Kwon Jung, Thomas A. Shaler and Tatiana S. Zaitseva. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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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