Sang Bae Kim

1.6k total citations
34 papers, 644 citations indexed

About

Sang Bae Kim is a scholar working on Biomedical Engineering, Surgery and Molecular Biology. According to data from OpenAlex, Sang Bae Kim has authored 34 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 6 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Sang Bae Kim's work include Bone Tissue Engineering Materials (5 papers), Minerals Flotation and Separation Techniques (5 papers) and Dental Implant Techniques and Outcomes (4 papers). Sang Bae Kim is often cited by papers focused on Bone Tissue Engineering Materials (5 papers), Minerals Flotation and Separation Techniques (5 papers) and Dental Implant Techniques and Outcomes (4 papers). Sang Bae Kim collaborates with scholars based in South Korea, United States and Japan. Sang Bae Kim's co-authors include Ju‐Seog Lee, Junhyun Choi, Hyunjung Kim, Wantae Kim, Jeong Han Kang, Un-Ho Jin, Stephen Safe, Syng‐Ook Lee, Sandeep Sreevalsan and Eun Sung Park and has published in prestigious journals such as PLoS ONE, Development and Hepatology.

In The Last Decade

Sang Bae Kim

32 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang Bae Kim South Korea 13 297 142 135 96 77 34 644
Shumei Wei China 15 347 1.2× 265 1.9× 96 0.7× 131 1.4× 167 2.2× 49 843
Leyi Huang China 11 181 0.6× 114 0.8× 141 1.0× 31 0.3× 55 0.7× 39 483
N. Mackenzie United Kingdom 19 322 1.1× 127 0.9× 99 0.7× 90 0.9× 96 1.2× 28 1.2k
Ngoc B. Nguyen United States 15 373 1.3× 50 0.4× 86 0.6× 65 0.7× 163 2.1× 34 869
Yifan Yuan China 13 380 1.3× 50 0.4× 84 0.6× 129 1.3× 167 2.2× 49 829
Xiao-Xin Zhang China 16 319 1.1× 155 1.1× 186 1.4× 94 1.0× 97 1.3× 36 667
Katsuhiko Aoki Japan 17 360 1.2× 111 0.8× 34 0.3× 75 0.8× 45 0.6× 40 681
Pradip De United States 16 720 2.4× 299 2.1× 166 1.2× 131 1.4× 51 0.7× 57 1.2k

Countries citing papers authored by Sang Bae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sang Bae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang Bae Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Bae Kim. A scholar is included among the top collaborators of Sang Bae 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 Sang Bae Kim. Sang Bae 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
1.
Choi, Junhyun & Sang Bae Kim. (2023). Influence of pH and ionic strength on the floc-magnetic separation: Selective flocculation of fine iron ore. Results in Engineering. 20. 101441–101441. 3 indexed citations
2.
Seo, Joobeom, et al.. (2020). Enhanced Pyrophyllite Flotation Performance Using Sodium Oleate as an Anionic Collector in the Presence of Ammonium Ion. MATERIALS TRANSACTIONS. 61(8). 1645–1650. 3 indexed citations
3.
Choi, Junhyun, Joobeom Seo, Sang Bae Kim, & Wantae Kim. (2020). Flotation Behavior of Malachite Using Hydrophobic Talc Nanoparticles as Collectors. Minerals. 10(9). 756–756. 13 indexed citations
4.
Park, Jun Yong, et al.. (2015). Apical complex protein Pals1 is required to maintain cerebellar progenitor cells in a proliferative state. Development. 143(1). 133–46. 10 indexed citations
5.
Lee, Syng‐Ook, Un-Ho Jin, Jeong Han Kang, et al.. (2014). The Orphan Nuclear Receptor NR4A1 (Nur77) Regulates Oxidative and Endoplasmic Reticulum Stress in Pancreatic Cancer Cells. Molecular Cancer Research. 12(4). 527–538. 90 indexed citations
6.
Park, Yun‐Yong, Sung Sook Lee, Jae Yun Lim, et al.. (2013). Comparison of Prognostic Genomic Predictors in Colorectal Cancer. PLoS ONE. 8(4). e60778–e60778. 20 indexed citations
7.
Kim, Eun‐Jung, Woo Chul Chung, Kang‐Moon Lee, et al.. (2013). Helicobacter pylori Infection Enhances Gastric Mucosal Inflammation in Individuals Carrying the 260-T Allele of the CD14 Gene. Gut and Liver. 7(3). 317–322. 2 indexed citations
8.
Park, Yun‐Yong, Sung Yun Jung, Nicholas B. Jennings, et al.. (2012). FOXM1 mediates Dox resistance in breast cancer by enhancing DNA repair. Carcinogenesis. 33(10). 1843–1853. 102 indexed citations
9.
Park, Eun Sung, Sang Bae Kim, Sang Cheol Kim, et al.. (2012). Development and Validation of a Prognostic Gene-Expression Signature for Lung Adenocarcinoma. PLoS ONE. 7(9). e44225–e44225. 28 indexed citations
10.
Chung, Woo Chul, Kang‐Moon Lee, Chang Nyol Paik, et al.. (2012). Clinical Outcomes of the Marginal Ulcer Bleeding after Gastrectomy: As Compared to the Peptic Ulcer Bleeding with Nonoperated Stomach. Gastroenterology Research and Practice. 2012. 1–6. 4 indexed citations
11.
Choi, Junhyun, et al.. (2012). Electrostatically Controlled Enrichment of Lepidolite via Flotation. MATERIALS TRANSACTIONS. 53(12). 2191–2194. 49 indexed citations
12.
Kim, Soo Mi, In‐Sun Chu, Sang Cheol Kim, et al.. (2011). Sixty-five gene-based risk score classifier predicts overall survival in hepatocellular carcinoma. Hepatology. 55(5). 1443–1452. 93 indexed citations
13.
Iwamoto, Takayuki, Ju‐Seog Lee, Giampaolo Bianchini, et al.. (2011). First generation prognostic gene signatures for breast cancer predict both survival and chemotherapy sensitivity and identify overlapping patient populations. Breast Cancer Research and Treatment. 130(1). 155–164. 33 indexed citations
14.
Han, Yosep, Sang Bae Kim, & Hyunjung Kim. (2011). TiO<SUB>2</SUB>-Coated Silica Foams by <I>In-Situ</I> Sol-Gel Reaction. MATERIALS TRANSACTIONS. 52(12). 2245–2249. 4 indexed citations
15.
Michaylira, Carmen Z., Gabrielle S. Wong, Charles G. Miller, et al.. (2010). Periostin, a Cell Adhesion Molecule, Facilitates Invasion in the Tumor Microenvironment and Annotates a Novel Tumor-Invasive Signature in Esophageal Cancer. Cancer Research. 70(13). 5281–5292. 97 indexed citations
16.
Kim, Sang Bae, et al.. (2005). In Vitro Aging Test for Bioactive PMMA-Based Bone Cement Using Simulated Body Fluid. Key engineering materials. 284-286. 153–156. 3 indexed citations
17.
Kim, Sang Bae, et al.. (2003). Development of Novel PMMA-Based Bone Cement Reinforced by Bioactive CaO-SiO<sub>2</sub> Gel Powder. Key engineering materials. 254-256. 285–288. 3 indexed citations
18.
Kim, Sang Bae, et al.. (2002). Strip Thickness, Flow Rate of Hydrogen, Surface-Energy-Induced Selective Growth Kinetics and Final Texture in Thin-Gauged 3%Si-Fe Alloy System. Materials science forum. 408-412. 1287–1292. 1 indexed citations
19.
Choi, Youngwoon, et al.. (2002). Sulfur Segregation and Surface-Energy-Induced Selective Growth in Ultra-Thin 3% Silicon-Iron Alloys. Materials science forum. 408-412. 967–972. 1 indexed citations
20.
Heo, N. H., et al.. (2002). Nucleation, Surface-Energy-Induced Selective Grain Growth and Final Texture in 3% Silicon Steel. Materials science forum. 408-412. 863–868. 2 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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