Sukmo Kang

1.2k total citations
28 papers, 998 citations indexed

About

Sukmo Kang is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Sukmo Kang has authored 28 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Immunology. Recurrent topics in Sukmo Kang's work include Immunotherapy and Immune Responses (7 papers), Nanoplatforms for cancer theranostics (6 papers) and Neonatal Health and Biochemistry (4 papers). Sukmo Kang is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), Nanoplatforms for cancer theranostics (6 papers) and Neonatal Health and Biochemistry (4 papers). Sukmo Kang collaborates with scholars based in South Korea, United States and China. Sukmo Kang's co-authors include Sangyong Jon, Yonghyun Lee, Hyungjun Kim, Minsuk Choi, Jinho Park, Jin Yong Kim, Jinjoo Kim, Vipul Gujrati, Sukyung Ahn and Eui‐Cheol Shin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and ACS Nano.

In The Last Decade

Sukmo Kang

28 papers receiving 988 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sukmo Kang South Korea 15 442 350 257 162 152 28 998
Qi Shang China 21 689 1.6× 291 0.8× 181 0.7× 168 1.0× 77 0.5× 81 1.3k
Hanna Piotrowska‐Kempisty Poland 20 639 1.4× 204 0.6× 112 0.4× 96 0.6× 79 0.5× 79 1.4k
Božena Smolková Slovakia 20 619 1.4× 88 0.3× 107 0.4× 52 0.3× 129 0.8× 67 1.2k
Chao Qin China 24 672 1.5× 370 1.1× 121 0.5× 424 2.6× 72 0.5× 69 1.5k
In Young Lee South Korea 20 345 0.8× 172 0.5× 67 0.3× 123 0.8× 35 0.2× 62 1.1k
Shiping Ding China 15 278 0.6× 283 0.8× 120 0.5× 158 1.0× 240 1.6× 35 1.2k
Temesgen Samuel United States 24 1.1k 2.4× 150 0.4× 213 0.8× 133 0.8× 120 0.8× 51 1.7k
Subhadip Ghatak United States 22 633 1.4× 159 0.5× 120 0.5× 147 0.9× 87 0.6× 51 1.7k
David T. Lowry United States 19 398 0.9× 304 0.9× 149 0.6× 88 0.5× 541 3.6× 29 1.3k

Countries citing papers authored by Sukmo Kang

Since Specialization
Citations

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

Fields of papers citing papers by Sukmo Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukmo Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Sukmo Kang. A scholar is included among the top collaborators of Sukmo Kang 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 Sukmo Kang. Sukmo Kang 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.
Kwon, Glen S., Sukmo Kang, Huiying Yang, et al.. (2025). KB-0118, A novel BET bromodomain inhibitor, suppresses Th17-mediated inflammation in inflammatory bowel disease. Biomedicine & Pharmacotherapy. 185. 117933–117933. 3 indexed citations
2.
Kim, Yujin, et al.. (2024). Neoantigen‐Displaying Protein Nanoparticles as a Therapeutic Cancer Vaccine Against Melanoma. Advanced Healthcare Materials. 14(4). e2404316–e2404316. 2 indexed citations
3.
Kang, Sukmo, et al.. (2021). Antigen-Presenting, Self-Assembled Protein Nanobarrels as an Adjuvant-Free Vaccine Platform against Influenza Virus. ACS Nano. 15(6). 10722–10732. 19 indexed citations
4.
Kim, Yujin, Sukmo Kang, Tae Woo Kim, et al.. (2020). Sequential and Timely Combination of a Cancer Nanovaccine with Immune Checkpoint Blockade Effectively Inhibits Tumor Growth and Relapse. Angewandte Chemie. 132(34). 14736–14746. 9 indexed citations
5.
Kim, Yujin, Sukmo Kang, Tae Woo Kim, et al.. (2020). Sequential and Timely Combination of a Cancer Nanovaccine with Immune Checkpoint Blockade Effectively Inhibits Tumor Growth and Relapse. Angewandte Chemie International Edition. 59(34). 14628–14638. 51 indexed citations
6.
Lee, Dong Yun, Sukmo Kang, Yonghyun Lee, et al.. (2020). PEGylated Bilirubin-coated Iron Oxide Nanoparticles as a Biosensor for Magnetic Relaxation Switching-based ROS Detection in Whole Blood. Theranostics. 10(5). 1997–2007. 37 indexed citations
7.
Park, Jung Tak, et al.. (2019). Acute and 13-week subchronic toxicity studies of hot-water extract of Cynanchi wilfordii Radix in Sprague-Dawley rats. Toxicological Research. 36(1). 89–98. 9 indexed citations
8.
Kim, Hyungjun, Minsuk Choi, Soyoung Lee, et al.. (2018). Antibody-Assisted Delivery of a Peptide–Drug Conjugate for Targeted Cancer Therapy. Molecular Pharmaceutics. 16(1). 165–172. 16 indexed citations
9.
Kim, Hoe Suk, et al.. (2018). Magnetic Resonance Imaging‐Guided Drug Delivery to Breast Cancer Stem‐Like Cells. Advanced Healthcare Materials. 7(21). e1800266–e1800266. 14 indexed citations
10.
Kang, Sukmo, Sukyung Ahn, Jeewon Lee, et al.. (2017). Effects of gold nanoparticle-based vaccine size on lymph node delivery and cytotoxic T-lymphocyte responses. Journal of Controlled Release. 256. 56–67. 127 indexed citations
11.
Kim, Daejin, Minsuk Choi, Sukmo Kang, et al.. (2017). Targeted Cancer Therapy Using Fusion Protein of TNFα and Tumor-Associated Fibronectin-Specific Aptide. Molecular Pharmaceutics. 14(11). 3772–3779. 10 indexed citations
12.
Kim, Jin Yong, Dong Yun Lee, Sukmo Kang, et al.. (2017). Bilirubin nanoparticle preconditioning protects against hepatic ischemia-reperfusion injury. Biomaterials. 133. 1–10. 107 indexed citations
13.
Kim, Hyungjun, Yonghyun Lee, Sukmo Kang, et al.. (2016). Self-assembled nanoparticles comprising aptide–SN38 conjugates for use in targeted cancer therapy. Nanotechnology. 27(48). 48LT01–48LT01. 21 indexed citations
14.
Miao, Wenjun, Hyungjun Kim, Vipul Gujrati, et al.. (2016). Photo-decomposable Organic Nanoparticles for Combined Tumor Optical Imaging and Multiple Phototherapies. Theranostics. 6(13). 2367–2379. 61 indexed citations
15.
Lee, Yonghyun, et al.. (2016). Bilirubin Nanoparticles as a Nanomedicine for Anti‐inflammation Therapy. Angewandte Chemie International Edition. 55(26). 7460–7463. 194 indexed citations
16.
Kang, Sukmo, Soo-Hee Kim, Seung Heon Lee, et al.. (2015). Trace element analysis of three tissues from Eurasian otters (Lutra lutra) in South Korea. Ecotoxicology. 24(5). 1064–1072. 6 indexed citations
17.
Gujrati, Vipul, Miriam Lee, Young‐Joon Ko, et al.. (2015). Bioengineered yeast-derived vacuoles with enhanced tissue-penetrating ability for targeted cancer therapy. Proceedings of the National Academy of Sciences. 113(3). 710–715. 34 indexed citations
18.
Saw, Phei Er, Vipul Gujrati, Yonghyun Lee, et al.. (2015). Mono-arginine Cholesterol-based Small Lipid Nanoparticles as a Systemic siRNA Delivery Platform for Effective Cancer Therapy. Theranostics. 6(2). 192–203. 36 indexed citations
19.
Ahn, Sukyung, In‐Hyun Lee, Sukmo Kang, et al.. (2014). Gold Nanoparticles Displaying Tumor‐Associated Self‐Antigens as a Potential Vaccine for Cancer Immunotherapy. Advanced Healthcare Materials. 3(8). 1194–1199. 96 indexed citations
20.
Shin, Hyoseop, et al.. (2001). Effect of carbohydrate and protein in the EPS on sludge settling characteristics. Water Science & Technology. 43(6). 193–196. 69 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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