Jeeyun Chung

2.8k citations
15 papers · 1.9k indexed · 2 hit papers · h-index 13
Topics
Endoplasmic Reticulum Stress and Disease (5 papers)Photosynthetic Processes and Mechanisms (5 papers)Lipid metabolism and biosynthesis (4 papers)

In The Last Decade

Jeeyun Chung

15 papers receiving 1.9k citations

Hit Papers

Lipid Droplet Biogenesis201520262018202220172015100200300400500

Peers

Jeeyun Chung
Comparison fields: 5 of 102
  • Molecular Biology 1.2k
  • Cell Biology 678
  • Biochemistry 621
  • Physiology 314
  • Surgery 189
Replace Xudong Wu with:
Xudong Wu United States
Susan J. Nixon Australia
Francesca Giordano France
Alexandre Toulmay United States
W. Mike Henne United States
Fubito Nakatsu Japan
Bruno Mesmin France
Derk D. Binns United States
Haoxi Wu United States
Mitsuhiro Abe Japan
Jeeyun Chung relative to Xudong Wu United States Xudong Wu's profile →
Citations per field
00.5×3.1×
Xudong Wu · 1×
Citations per year

Countries citing papers authored by Jeeyun Chung

Since Specialization
Citations

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

Fields of papers citing papers by Jeeyun Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeeyun Chung

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 12
2 45
3 40
4 88
5 157
6
Lipid Droplet Biogenesisbreakdown →
561
7
PI4P/phosphatidylserine countertransport at ORP5- and ORP8-mediated ER–plasma membrane contactsbreakdown →
475
8 66
9 20
10 76
11 216
12 25
13 82
14 3
15 54

About Jeeyun Chung

Jeeyun Chung is a scholar working on Structural Biology, Biochemistry and Developmental Biology, having authored 15 papers that have together received 1.9k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (5 papers), Photosynthetic Processes and Mechanisms (5 papers) and Lipid metabolism and biosynthesis (4 papers). The work is most often cited by research in Biochemistry (621 citations), Cell Biology (678 citations) and Structural Biology (39 citations). Jeeyun Chung has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Tobias C. Walther, Robert V. Farese, Pietro De Camilli, Fubito Nakatsu, Lukas B. Tanner, Markus R. Wenk, Kaori Masai, Pradeep Narayanaswamy, Louise Lucast and Federico Torta. Their work appears in journals such as Science, The Journal of Cell Biology and Blood.

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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