Jaesun Chun

985 citations
40 papers · 834 indexed · h-index 15
Topics
Ubiquitin and proteasome pathways (8 papers)Ion Channels and Receptors (6 papers)Education and Learning Interventions (5 papers)
Partner nations
South KoreaUnited States

In The Last Decade

Jaesun Chun

38 papers receiving 828 citations

Peers

Jaesun Chun
Comparison fields: 5 of 97
  • Molecular Biology 448
  • Cell Biology 196
  • Immunology 113
  • Surgery 108
  • Physiology 107
Replace Xiuli Ma with:
Xiuli Ma China
Amado Carreras‐Sureda Switzerland
Helen M. Brereton Australia
Javier Casas Spain
Daniel Emerling United States
Mohamed Eweida Canada
Xiping Zhang China
Fumitaka Fujita Japan
Laurence Méry France
Motoko Ohnishi Japan
Jaesun Chun relative to Xiuli Ma China Xiuli Ma's profile →
Citations per field
00.5×1.5×1.8×
Xiuli Ma · 1×
Citations per year

Countries citing papers authored by Jaesun Chun

Since Specialization
Citations

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

Fields of papers citing papers by Jaesun Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaesun Chun

This figure shows the co-authorship network connecting the top 25 collaborators of Jaesun Chun. A scholar is included among the top collaborators of Jaesun Chun 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 Jaesun Chun. Jaesun Chun 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 1
2 11
3 20
4
The Effect and Cognition of Open-Inquiry Lesson using Lubric on the Elementary Student's Open-Inquiry
1
5 4
6 17
7 48
8 4
9
Development and Application of Evaluation Criteria for Free Inquiry Activity Reports of Elementary School Students
1
10 13
11 13
12 45
13
Nucleopolyhedrovirus Induces Suppressor of Cytokine Signaling in the Beet Armyworm, Spodoptera exigua
1
14
Identification of 3'-hydroxymelanetin and liquiritigenin as akt protein kinase inhibitors
1
15
Identification of the sprU Gene Encoding an Additional sprT Homologous Trypsin-Type Protease in Streptomyces griseus
2
16 20
17 20
18 190
19 30
20 65

About Jaesun Chun

Jaesun Chun is a scholar working on Sensory Systems, Safety Research and Cell Biology, having authored 40 papers that have together received 834 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Ion Channels and Receptors (6 papers) and Education and Learning Interventions (5 papers). The work is most often cited by research in Sensory Systems (105 citations), Cell Biology (196 citations) and Molecular Biology (448 citations). Jaesun Chun has collaborated with scholars based in South Korea and United States. Frequent co-authors include Sang Sun Kang, Taegun Kwon, Sung Hee Hyun, Do Yoon Kwon, Jae‐Hong Kim, Eun Jeoung Lee, Susan M. Paskewitz, Michael A. Riehle, Sung‐E Choi and Soon‐Kwang Hong. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical and Biophysical Research 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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