Sagang Koo

900 total citations · 2 hit papers
9 papers, 722 citations indexed

About

Sagang Koo is a scholar working on Biomaterials, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Sagang Koo has authored 9 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomaterials, 4 papers in Materials Chemistry and 3 papers in Biomedical Engineering. Recurrent topics in Sagang Koo's work include Nanoparticle-Based Drug Delivery (4 papers), Cellular Mechanics and Interactions (2 papers) and Nanoplatforms for cancer theranostics (2 papers). Sagang Koo is often cited by papers focused on Nanoparticle-Based Drug Delivery (4 papers), Cellular Mechanics and Interactions (2 papers) and Nanoplatforms for cancer theranostics (2 papers). Sagang Koo collaborates with scholars based in South Korea, United States and China. Sagang Koo's co-authors include Taeghwan Hyeon, Dokyoon Kim, Ok Kyu Park, Nohyun Lee, Seung Hong Choi, Jin Yoo, Sang Ihn Han, Young Geon Kim, Hyunjoong Kim and Chaehong Lim and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and ACS Nano.

In The Last Decade

Sagang Koo

9 papers receiving 716 citations

Hit Papers

Enhanced Chemodynamic Therapy by Cu–Fe Peroxide Nanoparti... 2022 2026 2023 2024 2022 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sagang Koo South Korea 9 403 242 169 166 150 9 722
Hee Su Sohn South Korea 11 407 1.0× 235 1.0× 342 2.0× 167 1.0× 206 1.4× 15 967
Qunqun Bao China 11 570 1.4× 469 1.9× 302 1.8× 275 1.7× 118 0.8× 15 1.1k
Chuanyao Yang China 11 415 1.0× 288 1.2× 277 1.6× 330 2.0× 64 0.4× 18 873
Dongya Zhang China 12 246 0.6× 178 0.7× 247 1.5× 140 0.8× 132 0.9× 26 679
Junnian Hao China 10 432 1.1× 233 1.0× 185 1.1× 164 1.0× 75 0.5× 14 658
Mengbin Ding China 16 524 1.3× 172 0.7× 158 0.9× 180 1.1× 126 0.8× 31 670
Ziliang Zheng China 17 481 1.2× 399 1.6× 136 0.8× 145 0.9× 36 0.2× 49 829
Zuo Yang China 14 506 1.3× 283 1.2× 188 1.1× 184 1.1× 94 0.6× 34 836
Lihua Xu China 16 592 1.5× 321 1.3× 224 1.3× 277 1.7× 44 0.3× 27 941
Boyu Su China 12 215 0.5× 158 0.7× 179 1.1× 118 0.7× 77 0.5× 22 620

Countries citing papers authored by Sagang Koo

Since Specialization
Citations

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

Fields of papers citing papers by Sagang Koo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sagang Koo. 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 Sagang Koo. The network helps show where Sagang Koo may publish in the future.

Co-authorship network of co-authors of Sagang Koo

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

All Works

9 of 9 papers shown
1.
Kang, Taegyu, Gi Doo, Ok Kyu Park, et al.. (2023). Penetrative and Sustained Drug Delivery Using Injectable Hydrogel Nanocomposites for Postsurgical Brain Tumor Treatment. ACS Nano. 17(6). 5435–5447. 73 indexed citations
2.
Koo, Sagang, Young Geon Kim, Nohyun Lee, Taeghwan Hyeon, & Dokyoon Kim. (2023). Inorganic nanoparticle agents for enhanced chemodynamic therapy of tumours. Nanoscale. 15(33). 13498–13514. 8 indexed citations
3.
Koo, Sagang, Hee Su Sohn, Siyeon Yang, et al.. (2023). Ceria-vesicle nanohybrid therapeutic for modulation of innate and adaptive immunity in a collagen-induced arthritis model. Nature Nanotechnology. 18(12). 1502–1514. 94 indexed citations breakdown →
4.
Koo, Sagang, Ok Kyu Park, Jonghoon Kim, et al.. (2022). Enhanced Chemodynamic Therapy by Cu–Fe Peroxide Nanoparticles: Tumor Microenvironment-Mediated Synergistic Fenton Reaction. ACS Nano. 16(2). 2535–2545. 241 indexed citations breakdown →
5.
Kim, Hyunjoong, Ji Mun Yoo, Dong Young Chung, et al.. (2022). Design of a Metal/Oxide/Carbon Interface for Highly Active and Selective Electrocatalysis. ACS Nano. 16(10). 16529–16538. 19 indexed citations
6.
Kim, Yuri, Hee Joon Jung, Yun‐Jung Lee, et al.. (2022). Manipulating Nanoparticle Aggregates Regulates Receptor–Ligand Binding in Macrophages. Journal of the American Chemical Society. 144(13). 5769–5783. 53 indexed citations
7.
Hong, Hyunsik, Sunhong Min, Sagang Koo, et al.. (2021). Dynamic Ligand Screening by Magnetic Nanoassembly Modulates Stem Cell Differentiation. Advanced Materials. 34(2). e2105460–e2105460. 34 indexed citations
8.
Kang, Mikyung, Seong Ho Lee, Junho Byun, et al.. (2021). Nanocomplex‐Mediated In Vivo Programming to Chimeric Antigen Receptor‐M1 Macrophages for Cancer Therapy. Advanced Materials. 33(43). e2103258–e2103258. 154 indexed citations
9.
Soh, Min, Dokyoon Kim, Sang Ihn Han, et al.. (2019). Highly selective microglial uptake of ceria–zirconia nanoparticles for enhanced analgesic treatment of neuropathic pain. Nanoscale. 11(41). 19437–19447. 46 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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