Sung Soo Kim

709 total citations
12 papers, 156 citations indexed

About

Sung Soo Kim is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Sung Soo Kim has authored 12 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Sung Soo Kim's work include Glioma Diagnosis and Treatment (6 papers), Mitochondrial Function and Pathology (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Sung Soo Kim is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), Mitochondrial Function and Pathology (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Sung Soo Kim collaborates with scholars based in South Korea, United States and China. Sung Soo Kim's co-authors include Jinlong Yin, Jong Heon Kim, Jong Bae Park, Young Taek Oh, Young Chan Chae, Sung‐Hye Park, Myung‐Jin Park, Byoung Heon Kang, Jong Bae Park and Yoona Seo and has published in prestigious journals such as PLoS ONE, Cancer Research and Experimental & Molecular Medicine.

In The Last Decade

Sung Soo Kim

11 papers receiving 154 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sung Soo Kim South Korea 5 98 49 26 23 18 12 156
Maria Häggblad Sweden 7 124 1.3× 45 0.9× 27 1.0× 21 0.9× 5 0.3× 12 175
Michele Vidone Italy 7 137 1.4× 86 1.8× 22 0.8× 26 1.1× 26 1.4× 7 210
Anne Dirkse Luxembourg 3 108 1.1× 99 2.0× 21 0.8× 51 2.2× 62 3.4× 3 184
Marco Ballarini Italy 6 279 2.8× 22 0.4× 48 1.8× 25 1.1× 12 0.7× 8 328
Chenyue Shi Germany 5 154 1.6× 73 1.5× 17 0.7× 8 0.3× 16 0.9× 6 198
Aimee T. Farria United States 8 264 2.7× 45 0.9× 57 2.2× 5 0.2× 24 1.3× 8 311
Kathrin Weidele Germany 6 117 1.2× 73 1.5× 75 2.9× 4 0.2× 13 0.7× 8 198
Marius Petrulionis Lithuania 6 122 1.2× 57 1.2× 60 2.3× 6 0.3× 27 1.5× 13 227
Debra L. Evans United States 6 122 1.2× 30 0.6× 60 2.3× 33 1.4× 17 0.9× 6 189

Countries citing papers authored by Sung Soo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sung Soo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Soo 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 Sung Soo Kim. The network helps show where Sung Soo Kim may publish in the future.

Co-authorship network of co-authors of Sung Soo Kim

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

All Works

12 of 12 papers shown
1.
Oh, Young Taek, et al.. (2024). Suppression of Glioblastoma Stem Cell Potency and Tumor Growth via LRRK2 Inhibition. International Journal of Stem Cells. 17(3). 319–329. 3 indexed citations
2.
Lin, Weiwei, Xiong Jin, Rui Niu, et al.. (2024). CD97 maintains tumorigenicity of glioblastoma stem cells via mTORC2 signaling and is targeted by CAR Th9 cells. Cell Reports Medicine. 5(12). 101844–101844. 3 indexed citations
3.
Yin, Jinlong, Yoona Seo, Xiong Jin, et al.. (2023). Cross-talk between PARN and EGFR–STAT3 Signaling Facilitates Self-Renewal and Proliferation of Glioblastoma Stem Cells. Cancer Research. 83(22). 3693–3709. 14 indexed citations
4.
Kim, Sung Soo, Hyung Joon Kwon, Weiwei Lin, et al.. (2023). Fam20C Kinase as a Key Regulator of Bevacizumab Resistance in Mesenchymal Glioblastoma. Advanced Therapeutics. 7(2). 1 indexed citations
5.
Kim, Yejin, Chulhwan Kwak, Jong Bae Park, et al.. (2023). The Regulatory Roles of Mitochondrial Metabolism Dynamics and Mitochondria Calcium Uniporter (MCU) in Bevacizumab Resistance of GBM. Advanced Therapeutics. 6(7). 2 indexed citations
6.
Kim, Yejin, Tae Hoon Kim, Yong‐Seok Oh, et al.. (2023). Translational mRNA Profiling Analysis of Pseudopalisading Cells in Bevacizumab Resistance of GBM. Advanced Therapeutics. 6(11).
8.
Nam, Hyun, In‐Hee Lee, K. Jason, et al.. (2021). Effects of Long-Term In Vitro Expansion on Genetic Stability and Tumor Formation Capacity of Stem Cells. Stem Cell Reviews and Reports. 18(1). 241–257. 4 indexed citations
9.
Kwon, Hyung Joon, Young Taek Oh, Sung Soo Kim, et al.. (2021). Analysis of electric cigarette liquid effect on mouse brain tumor growth through EGFR and ERK activation. PLoS ONE. 16(9). e0256730–e0256730. 7 indexed citations
11.
Seo, Yoona, Sung Soo Kim, Namdoo Kim, et al.. (2020). Development of a miRNA-controlled dual-sensing system and its application for targeting miR-21 signaling in tumorigenesis. Experimental & Molecular Medicine. 52(12). 1989–2004. 9 indexed citations
12.
Oh, Young Taek, Sung Soo Kim, Jinlong Yin, et al.. (2019). Interplay between TRAP1 and Sirtuin-3 Modulates Mitochondrial Respiration and Oxidative Stress to Maintain Stemness of Glioma Stem Cells. Cancer Research. 79(7). 1369–1382. 98 indexed citations

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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