Kang Sun

2.6k total citations · 1 hit paper
59 papers, 2.2k citations indexed

About

Kang Sun is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Kang Sun has authored 59 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 14 papers in Molecular Biology and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Kang Sun's work include 3D Printing in Biomedical Research (8 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Electrochemical sensors and biosensors (7 papers). Kang Sun is often cited by papers focused on 3D Printing in Biomedical Research (8 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Electrochemical sensors and biosensors (7 papers). Kang Sun collaborates with scholars based in China, Sweden and United States. Kang Sun's co-authors include Xingyu Jiang, Shutao Wang, Lei Jiang, Pengchao Zhang, Jingxin Meng, Seung Hyun Hur, Le T. Hoa, Jun‐Bing Fan, Yingying Li and Dingbin Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Kang Sun

57 papers receiving 2.1k citations

Hit Papers

An as... 2025 2026 2025 10 20 30

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kang Sun China 22 890 657 529 450 271 59 2.2k
Joon Won Park South Korea 29 801 0.9× 1.0k 1.6× 727 1.4× 760 1.7× 162 0.6× 111 3.1k
Kosuke Minami Japan 26 850 1.0× 563 0.9× 604 1.1× 1.1k 2.5× 473 1.7× 68 2.4k
Dong‐Sik Shin South Korea 27 864 1.0× 994 1.5× 302 0.6× 337 0.7× 204 0.8× 89 2.1k
Shou‐Jun Xiao China 27 1000 1.1× 1.1k 1.6× 503 1.0× 695 1.5× 319 1.2× 95 2.7k
Sandeep S. Karajanagi United States 17 642 0.7× 452 0.7× 463 0.9× 723 1.6× 271 1.0× 19 1.7k
Fang Cheng China 27 836 0.9× 678 1.0× 364 0.7× 308 0.7× 311 1.1× 116 2.2k
Edmondo Battista Italy 24 800 0.9× 405 0.6× 213 0.4× 272 0.6× 368 1.4× 56 1.6k
Javier Reguera Spain 31 1.2k 1.3× 609 0.9× 298 0.6× 996 2.2× 826 3.0× 53 3.0k
Fotios M. Andreopoulos United States 23 511 0.6× 518 0.8× 139 0.3× 520 1.2× 524 1.9× 50 2.0k
Yanan Sun China 27 1.2k 1.3× 501 0.8× 432 0.8× 766 1.7× 526 1.9× 73 2.2k

Countries citing papers authored by Kang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Kang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Sun. A scholar is included among the top collaborators of Kang Sun 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 Kang Sun. Kang Sun 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
2.
Wang, Caikang, Xiangrui Wu, Hao Sun, et al.. (2025). An asymmetric RE–O–Ru unit with bridged oxygen vacancies accelerates deprotonation during acidic water oxidation. Energy & Environmental Science. 18(9). 4276–4287. 34 indexed citations breakdown →
3.
Yin, Haoran, Dong Zhou, Kang Sun, et al.. (2025). Kinetic study on the promotion of CO2 absorption in aqueous N-methyldiethanolamine by amino-functionalized ionic liquids. Separation and Purification Technology. 362. 131707–131707. 3 indexed citations
5.
Zhou, Jiewen, Ruihao Yang, Jing Chu, et al.. (2024). Rapid virus inactivation by nanoparticles-embedded photodynamic surfaces. Journal of Colloid and Interface Science. 679(Pt B). 609–618. 4 indexed citations
6.
Zeng, Yi, et al.. (2023). Principles on symbiosis for natural life and living artificial intelligence. AI and Ethics. 5(1). 81–86. 2 indexed citations
7.
Zeng, Yi, et al.. (2021). Declaration on the ethics of brain–computer interfaces and augment intelligence. AI and Ethics. 1(3). 209–211. 5 indexed citations
8.
Zhang, Li, Xuemeng Li, Yangyang Wang, et al.. (2018). Reproducible Plasmonic Nanopyramid Array of Various Metals for Highly Sensitive Refractometric and Surface-Enhanced Raman Biosensing. ACS Omega. 3(10). 14181–14187. 12 indexed citations
9.
Wang, Ao, Rongrong Zhou, Lin Zhou, et al.. (2017). Positively charged phthalocyanine-arginine conjugates as efficient photosensitizer for photodynamic therapy. Bioorganic & Medicinal Chemistry. 25(5). 1643–1651. 14 indexed citations
10.
Sun, Kang, et al.. (2017). Structural insights into ankyrin repeat–mediated recognition of the kinesin motor protein KIF21A by KANK1, a scaffold protein in focal adhesion. Journal of Biological Chemistry. 293(6). 1944–1956. 22 indexed citations
11.
Wang, Hongjian, Zhipeng Chen, Bin Liu, et al.. (2017). Needleless electrospray of magnetic film from magnetization-induced cone array. Materials and Manufacturing Processes. 33(10). 1115–1120. 4 indexed citations
12.
Wang, Ao, Rongrong Zhou, Lin Zhou, et al.. (2016). Arginine‐Substituted Phthalocyanine with Concentration‐Driven Self‐Disaggregation Performance: Synthesis, Properties and Mechanistic Study. Chemistry - An Asian Journal. 11(21). 3008–3013. 4 indexed citations
13.
Sun, Kang, Jin Suk Chung, & Seung Hyun Hur. (2015). Durability Improvement of Pt/RGO Catalysts for PEMFC by Low-Temperature Self-Catalyzed Reduction. Nanoscale Research Letters. 10(1). 963–963. 19 indexed citations
14.
Chen, Haiyan, Bowen Li, Min Zhang, et al.. (2014). Characterization of tumor-targeting Ag2S quantum dots for cancer imaging and therapy in vivo. Nanoscale. 6(21). 12580–12590. 62 indexed citations
15.
Zheng, Wenfu, Yunyan Xie, Kang Sun, et al.. (2014). An on-chip study on the influence of geometrical confinement and chemical gradient on cell polarity. Biomicrofluidics. 8(5). 52010–52010. 7 indexed citations
16.
Sun, Kang, Hongliang Liu, Shutao Wang, & Lei Jiang. (2013). Cytophilic/Cytophobic Design of Nanomaterials at Biointerfaces. Small. 9(9-10). 1444–1448. 15 indexed citations
17.
Dai, Yunrong, et al.. (2013). Enhanced sorption of perfluorooctane sulfonate (PFOS) on carbon nanotube-filled electrospun nanofibrous membranes. Chemosphere. 93(8). 1593–1599. 35 indexed citations
18.
Liu, Dingbin, Wenwen Chen, Kang Sun, et al.. (2011). Resettable, Multi‐Readout Logic Gates Based on Controllably Reversible Aggregation of Gold Nanoparticles. Angewandte Chemie International Edition. 50(18). 4103–4107. 220 indexed citations
19.
Liu, Wenwen, Zhuo Huang, Long Chen, et al.. (2010). Development of neurons on micropatterns reveals that growth cone responds to a sharp change of concentration of laminin. Electrophoresis. 31(18). 3144–3151. 19 indexed citations
20.
Sun, Kang, Zongxing Wang, & Xingyu Jiang. (2008). Modular microfluidics for gradient generation. Lab on a Chip. 8(9). 1536–1536. 70 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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