Yeun Ju Kim
- Cell Biology top 1%
- Cellular transport and secretion 20
- Endoplasmic Reticulum Stress and Disease 5
- Physiology top 1%
- Calcium signaling and nucleotide metabolism 6
- Biochemistry top 2%
- Lipid metabolism and biosynthesis 4
- Molecular Biology top 5%
- Lipid Membrane Structure and Behavior 10
- Protein Kinase Regulation and GTPase Signaling 7
- PI3K/AKT/mTOR signaling in cancer 3
- Sensory Systems top 5%
- Ion Channels and Receptors 3
- Co-authors
- Tamás BallaSue Goo RheeMaría Luisa Guzmán-HernándezZsófia SzentpéteryKap‐Seok YangEarl R. StadtmanJaeyul KwonYounghee Ahn
- Cited by
- Cell BiologyPhysiologyBiochemistry
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (3 papers)Nature Communications (1 paper)
- Partner nations
- United StatesSouth KoreaHungary
In The Last Decade
Yeun Ju Kim
51 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Cell Biology 952
- Physiology 208
- Biochemistry 218
- Molecular Biology 1.7k
- Sensory Systems 95
Countries citing papers authored by Yeun Ju Kim
This map shows the geographic impact of Yeun Ju Kim'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 Yeun Ju Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeun Ju Kim more than expected).
Fields of papers citing papers by Yeun Ju Kim
This network shows the impact of papers produced by Yeun Ju Kim. 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 Yeun Ju Kim. The network helps show where Yeun Ju Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yeun Ju Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 10 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 10 | |
| 7 | 2019 | 24 | |
| 8 | 2019 | 42 | |
| 9 | 2016 | 76 | |
| 10 | 2015 | 30 | |
| 11 | 2015 | 182 | |
| 12 | 2012 | 117 | |
| 13 | 2011 | 150 | |
| 14 | 2009 | 103 | |
| 15 | 2009 | 100 | |
| 16 | 2007 | 152 | |
| 17 | 2004 | 101 | |
| 18 | 2004 | 18 | |
| 19 | 2000 | 265 | |
| 20 | 1999 | 12 |
About Yeun Ju Kim
Yeun Ju Kim is a scholar working on Cell Biology, Physiology and Sensory Systems, having authored 51 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (20 papers), Lipid Membrane Structure and Behavior (10 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Calcium signaling and nucleotide metabolism (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Lipid metabolism and biosynthesis (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Ion Channels and Receptors (3 papers). The work is most often cited by research in Cell Biology (952 citations), Physiology (208 citations) and Biochemistry (218 citations). Yeun Ju Kim has collaborated with scholars based in United States, South Korea and Hungary. Frequent co-authors include Tamás Balla, Sue Goo Rhee, María Luisa Guzmán-Hernández, Zsófia Szentpétery, Kap‐Seok Yang, Earl R. Stadtman, Jaeyul Kwon, Younghee Ahn, Yun Soo Bae and Éva Wisniewski. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.