Sungwan Kim

759 total citations
29 papers, 592 citations indexed

About

Sungwan Kim is a scholar working on Biomaterials, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Sungwan Kim has authored 29 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomaterials, 9 papers in Organic Chemistry and 8 papers in Molecular Biology. Recurrent topics in Sungwan Kim's work include Supramolecular Chemistry and Complexes (9 papers), Luminescence and Fluorescent Materials (6 papers) and Supramolecular Self-Assembly in Materials (6 papers). Sungwan Kim is often cited by papers focused on Supramolecular Chemistry and Complexes (9 papers), Luminescence and Fluorescent Materials (6 papers) and Supramolecular Self-Assembly in Materials (6 papers). Sungwan Kim collaborates with scholars based in South Korea, United States and Puerto Rico. Sungwan Kim's co-authors include Seong Kyu Kim, Sungho Park, Kevin L. Shuford, Kimoon Kim, Kyeng Min Park, Annadka Shrinidhi, Sang‐Hyun Kim, James Murray, Junghyun Kim and Sang-Hoon Yoo and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nano Letters.

In The Last Decade

Sungwan Kim

29 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sungwan Kim South Korea 15 219 196 167 165 116 29 592
Ning-Ning Zhang China 13 356 1.6× 271 1.4× 138 0.8× 389 2.4× 205 1.8× 25 809
Natalia Piergies Poland 15 149 0.7× 124 0.6× 63 0.4× 154 0.9× 168 1.4× 51 568
Gemma C. Shearman United Kingdom 15 149 0.7× 140 0.7× 352 2.1× 100 0.6× 454 3.9× 24 981
Yaping Xu China 11 363 1.7× 70 0.4× 135 0.8× 96 0.6× 135 1.2× 51 596
Nicola Angelini Italy 18 486 2.2× 138 0.7× 169 1.0× 50 0.3× 223 1.9× 29 764
Shaojue Wu Singapore 9 285 1.3× 188 1.0× 103 0.6× 88 0.5× 130 1.1× 12 557
Carlos J. Bueno-Alejo Canada 13 278 1.3× 157 0.8× 100 0.6× 186 1.1× 108 0.9× 19 578
Helmut Hinterwirth Austria 8 211 1.0× 152 0.8× 45 0.3× 199 1.2× 250 2.2× 9 645
Monica Iosin Romania 11 240 1.1× 151 0.8× 58 0.3× 238 1.4× 203 1.8× 13 540
Anna Aliberti Italy 14 111 0.5× 209 1.1× 90 0.5× 59 0.4× 285 2.5× 32 652

Countries citing papers authored by Sungwan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sungwan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungwan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sungwan Kim. A scholar is included among the top collaborators of Sungwan 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 Sungwan Kim. Sungwan 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.
Hardie, Joseph, Sungwan Kim, Zhimin Yin, et al.. (2025). Automated, Deep Learning‐Enabled Immunoassay Microfluidic Cartridge for Viral Pathogen Detection. Advanced Materials Technologies. 10(16). 1 indexed citations
2.
Song, Younseong, Prudhvi Thirumalaraju, Joseph Hardie, et al.. (2025). Deactivated Cas9-Engineered Magnetic Micromotors toward a Point-of-Care Digital Viral RNA Assay. ACS Nano. 19(9). 8646–8660. 4 indexed citations
3.
Kim, Sungwan, Jane J. Kim, Joseph Hardie, et al.. (2025). Ultrasensitive and long-lasting bioluminescence immunoassay for point-of-care viral antigen detection. Nature Biomedical Engineering. 9(11). 1998–2012. 3 indexed citations
4.
Kim, Byeong Soo, et al.. (2024). Automated deep learning model for estimating intraoperative blood loss using gauze images. Scientific Reports. 14(1). 2597–2597. 2 indexed citations
5.
Chen, Hui, Sungwan Kim, Joseph Hardie, et al.. (2022). Deep learning-assisted sensitive detection of fentanyl using a bubbling-microchip. Lab on a Chip. 22(23). 4531–4540. 6 indexed citations
6.
Lee, Song-Yi, Myeong‐Gyun Kang, Kyung Lock Kim, et al.. (2020). Supra-blot: an accurate and reliable assay for detecting target proteins with a synthetic host molecule–enzyme hybrid. Chemical Communications. 56(10). 1549–1552. 8 indexed citations
7.
Kim, Sungwan, et al.. (2020). Purification of protein therapeutics via high-affinity supramolecular host–guest interactions. Nature Biomedical Engineering. 4(11). 1044–1052. 42 indexed citations
8.
9.
Park, Kyeng Min, et al.. (2019). Cucurbit[n]uril-based amphiphiles that self-assemble into functional nanomaterials for therapeutics. Chemical Communications. 55(72). 10654–10664. 35 indexed citations
10.
Park, Kyeng Min, Kangkyun Baek, Young Ho Ko, et al.. (2018). Mono‐allyloxylated Cucurbit[7]uril Acts as an Unconventional Amphiphile To Form Light‐Responsive Vesicles. Angewandte Chemie. 130(12). 3186–3190. 9 indexed citations
11.
Park, Kyeng Min, Kangkyun Baek, Young Ho Ko, et al.. (2018). Mono‐allyloxylated Cucurbit[7]uril Acts as an Unconventional Amphiphile To Form Light‐Responsive Vesicles. Angewandte Chemie International Edition. 57(12). 3132–3136. 37 indexed citations
12.
Baek, Kangkyun, Dan Xu, James Murray, Sungwan Kim, & Kimoon Kim. (2016). Permselective 2D-polymer-based membrane tuneable by host–guest chemistry. Chemical Communications. 52(62). 9676–9678. 9 indexed citations
13.
Kim, Sungwan, Sungwan Kim, Soyoung Lee, et al.. (2015). Tyrosol Suppresses Allergic Inflammation by Inhibiting the Activation of Phosphoinositide 3-Kinase in Mast Cells. PLoS ONE. 10(6). e0129829–e0129829. 32 indexed citations
14.
Choi, Hyun Gyu, Hui-Hun Kim, Soyoung Lee, et al.. (2015). Inhibitory effect of 1,2,4,5-tetramethoxybenzene on mast cell-mediated allergic inflammation through suppression of IκB kinase complex. Toxicology and Applied Pharmacology. 287(2). 119–127. 14 indexed citations
15.
Park, Jong-Hwa, et al.. (2013). Reeling of recombinant flourescence cocoons through low temperature decompressed cooking. 51(2). 142–146. 2 indexed citations
16.
Kim, Hui-Hun, et al.. (2013). Inhibitory effects of Diospyros kaki in a model of allergic inflammation: Role of cAMP, calcium and nuclear factor-κB. International Journal of Molecular Medicine. 32(4). 945–951. 26 indexed citations
17.
Kim, Sungwan, Seokwoo Kang, Eun‐Young Yun, et al.. (2013). Modification of the commercial silkworm eggs adequate for Bluemoon0silkworm transgenesis. 51(1). 73–77. 3 indexed citations
18.
Kim, Sungwan, et al.. (2008). Intraparticle Surface Plasmon Coupling in Quasi-One-Dimensional Nanostructures. Nano Letters. 8(3). 800–804. 55 indexed citations
19.
Shuford, Kevin L., et al.. (2008). Multiple Surface Plasmon Modes for a Colloidal Solution of Nanoporous Gold Nanorods and Their Comparison to Smooth Gold Nanorods. Nano Letters. 8(8). 2265–2270. 67 indexed citations
20.
Kim, Jongbin, et al.. (2005). Characteristic Features of Immune B Cells in Murine Cervical Lymph Node. Korean Journal of Otorhinolaryngology-head and Neck Surgery. 48(2). 241–246. 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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