Yeun Ju Kim

3.5k citations
51 papers · 2.8k indexed · 1 hit paper · h-index 26
Topics
Cellular transport and secretion (20 papers)Lipid Membrane Structure and Behavior (10 papers)Protein Kinase Regulation and GTPase Signaling (7 papers)

In The Last Decade

Yeun Ju Kim

51 papers receiving 2.8k citations

Hit Papers

Reversible oxidation and inactivation of the tumor suppre...20042026201120182004100200300400500

Peers

Yeun Ju Kim
Comparison fields: 5 of 129
  • Molecular Biology 1.7k
  • Cell Biology 952
  • Immunology 400
  • Physiology 371
  • Biochemistry 218
Replace Elena V. Sviderskaya with:
Elena V. Sviderskaya United Kingdom
Akihiro Mizutani Japan
Wenhong Li China
Marianna Sikorska Canada
Eugenio Fava Germany
Olga Goldberger United States
Frederik Vilhardt Denmark
Roman L. Bogorad United States
Takehiko Ueyama Japan
Boon Chuan Low Singapore
Yeun Ju Kim relative to Elena V. Sviderskaya United Kingdom Elena V. Sviderskaya's profile →
Citations per field
00.5×4.8×
Elena V. Sviderskaya · 1×
Citations per year

Countries citing papers authored by Yeun Ju Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Yeun Ju Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yeun Ju Kim. A scholar is included among the top collaborators of Yeun Ju Kim 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 Yeun Ju Kim. Yeun Ju Kim 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 4
2 4
3 4
4 10
5 1
6 10
7 24
8 42
9 76
10 30
11 182
12 117
13 150
14 103
15 100
16 152
17 101
18 18
19 265
20 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) and Protein Kinase Regulation and GTPase Signaling (7 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.

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