Shoukai Kang

585 total citations
10 papers, 189 citations indexed

About

Shoukai Kang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biotechnology. According to data from OpenAlex, Shoukai Kang has authored 10 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Biotechnology. Recurrent topics in Shoukai Kang's work include Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Photochromic and Fluorescence Chemistry (2 papers). Shoukai Kang is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Photochromic and Fluorescence Chemistry (2 papers). Shoukai Kang collaborates with scholars based in United States and China. Shoukai Kang's co-authors include Liangcai Gu, Shiyun Cao, Jiayu Yao, Ning Zheng, Haibin Mao, Zengpeng Li, Xiaonan Fu, Chao Wang, Xiahui Chen and Molly Jahn and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Biosensors and Bioelectronics.

In The Last Decade

Shoukai Kang

10 papers receiving 187 citations

Peers

Shoukai Kang

MB

RNMI

ONCOL

BE

CMN

Yujia Huang China

Arne Praznik Slovenia

Cole Urnes United States

Hesong Han United States

Kate Zhao United States

Brune Vialet France

Sadanand Gite United States

Muyun Lihan United States

Mikail D. Levasseur Switzerland

Steven De Munck Belgium

Yujia Huang China

Shoukai Kang

289 ×2.2

MB

25 ×0.7

RNMI

29 ×0.9

ONCOL

16 ×0.7

BE

12 ×0.6

CMN

Citations per year, relative to Shoukai Kang Shoukai Kang (= 1×) peers Yujia Huang

Countries citing papers authored by Shoukai Kang

Since Specialization

Citations

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

Fields of papers citing papers by Shoukai Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoukai Kang

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

All Works

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10 of 10 papers shown

1.

Kang, Shoukai, et al.. (2023). Picomolar-Level Sensing of Cannabidiol by Metal Nanoparticles Functionalized with Chemically Induced Dimerization Binders. ACS Sensors. 8(12). 4696–4706. 4 indexed citations

2.

Chen, Mingliang, et al.. (2022). Identification of Anti-TNFα VNAR Single Domain Antibodies from Whitespotted Bambooshark (Chiloscyllium plagiosum). Marine Drugs. 20(5). 307–307. 17 indexed citations

3.

Chen, Xiahui, Shoukai Kang, Zhi Zhao, et al.. (2022). Synthetic nanobody-functionalized nanoparticles for accelerated development of rapid, accessible detection of viral antigens. Biosensors and Bioelectronics. 202. 113971–113971. 22 indexed citations

4.

Zhang, Xiao, et al.. (2022). Combinatorial Approaches for Efficient Design of Photoswitchable Protein-Protein Interactions as In Vivo Actuators. Frontiers in Bioengineering and Biotechnology. 10. 844405–844405. 2 indexed citations

5.

Cao, Shiyun, Shoukai Kang, Haibin Mao, et al.. (2022). Defining molecular glues with a dual-nanobody cannabidiol sensor. Nature Communications. 13(1). 815–815. 76 indexed citations

6.

Kang, Shoukai, et al.. (2020). Creating Highly Specific Chemically Induced Protein Dimerization Systems by Stepwise Phage Selection of a Combinatorial Single-Domain Antibody Library. Journal of Visualized Experiments. 2 indexed citations

7.

Kang, Shoukai, et al.. (2020). Creating Highly Specific Chemically Induced Protein Dimerization Systems by Stepwise Phage Selection of a Combinatorial Single-Domain Antibody Library. Journal of Visualized Experiments. 1 indexed citations

8.

Huang, Zhimin, Zengpeng Li, Xiao Zhang, et al.. (2020). Creating Red Light-Switchable Protein Dimerization Systems as Genetically Encoded Actuators with High Specificity. ACS Synthetic Biology. 9(12). 3322–3333. 26 indexed citations

9.

Kang, Shoukai, Kristian Davidsen, Xiaonan Fu, et al.. (2019). COMBINES-CID: An Efficient Method for De Novo Engineering of Highly Specific Chemically Induced Protein Dimerization Systems. Journal of the American Chemical Society. 141(28). 10948–10952. 37 indexed citations

10.

Kang, Shoukai, et al.. (2010). 2-Azaniumyl-4-(ethylcarbamoyl)butanoate: the zwitterionic form of the amino acid theanine. Acta Crystallographica Section E Structure Reports Online. 67(1). o82–o82. 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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