Eung‐Gook Kim

3.5k citations
96 papers · 2.7k indexed · 1 hit paper · h-index 24
Topics
Protein Kinase Regulation and GTPase Signaling (17 papers)Influenza Virus Research Studies (8 papers)Ubiquitin and proteasome pathways (7 papers)

In The Last Decade

Eung‐Gook Kim

93 papers receiving 2.6k citations

Hit Papers

Runx2 Is a Common Target of Transforming Growth Factor β1...20002026200820172000250500750

Peers

Eung‐Gook Kim
Comparison fields: 5 of 119
  • Molecular Biology 1.7k
  • Oncology 412
  • Cell Biology 411
  • Cancer Research 256
  • Physiology 231
Replace Toshifumi Azuma with:
Toshifumi Azuma Japan
Ximei Wu China
Mihail Eugen Hinescu Romania
Igor Prudovsky United States
Vincenzo Mattei Italy
Paul Toselli United States
Shunsuke Uehara Japan
Keiichi Morita Japan
Sandro De Falco Italy
Salvatore Travali Italy
Eung‐Gook Kim relative to Toshifumi Azuma Japan Toshifumi Azuma's profile →
Citations per field
00.5×1.5×2.2×
Toshifumi Azuma · 1×
Citations per year

Countries citing papers authored by Eung‐Gook Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eung‐Gook Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eung‐Gook 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 Eung‐Gook Kim. The network helps show where Eung‐Gook Kim may publish in the future.

Co-authorship network of co-authors of Eung‐Gook Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Eung‐Gook Kim. A scholar is included among the top collaborators of Eung‐Gook 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 Eung‐Gook Kim. Eung‐Gook 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 14
2 9
3 2
4 6
5 1
6 23
7 19
8 3
9 4
10 33
11 2
12 15
13 10
14 4
15 26
16 13
17 20
18
Short-Term Inhibitory Effect by Heparin on the Interaction of Basic Fibroblast Growth Factor with Its Receptor
1
19
Partial Purification and Characterization of γ-Glutamyl Transpeptidase from Rat Kidney
0
20
Promoter Modifies Carcinogenesis Process
2

About Eung‐Gook Kim

Eung‐Gook Kim is a scholar working on Cell Biology, Molecular Biology and Immunology and Allergy, having authored 96 papers that have together received 2.7k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (17 papers), Influenza Virus Research Studies (8 papers) and Ubiquitin and proteasome pathways (7 papers). The work is most often cited by research in Cell Biology (411 citations), Molecular Biology (1.7k citations) and Cancer Research (256 citations). Eung‐Gook Kim has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Eun‐Young Shin, Suk‐Chul Bae, Xin‐Zi Chi, Hyun‐Jung Kim, Chisato Ueta, Kyeong‐Sook Lee, Toshihisa Komori, John M. Wozney, Qinglin Li and Hyun‐Mo Ryoo. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.

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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