Kang-Yu Chu

461 total citations
8 papers, 370 citations indexed

About

Kang-Yu Chu is a scholar working on Biomedical Engineering, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Kang-Yu Chu has authored 8 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 5 papers in Molecular Biology and 2 papers in Infectious Diseases. Recurrent topics in Kang-Yu Chu's work include Biosensors and Analytical Detection (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Gold and Silver Nanoparticles Synthesis and Applications (2 papers). Kang-Yu Chu is often cited by papers focused on Biosensors and Analytical Detection (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Gold and Silver Nanoparticles Synthesis and Applications (2 papers). Kang-Yu Chu collaborates with scholars based in Japan, Italy and Kuwait. Kang-Yu Chu's co-authors include Amy Q. Shen, Riccardo Funari, Nikhil Bhalla, Norbert Willenbacher, Bruno Miranda, Pier Luca Maffettone, Bill Söderström, U. C. Chaturvedi, A.S. Pacsa and E.A. Elbishbishi and has published in prestigious journals such as Nature Communications, Biosensors and Bioelectronics and ACS Sensors.

In The Last Decade

Kang-Yu Chu

7 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kang-Yu Chu Japan	7	284	204	151	71	47	8	370
Adam M. Maley United States	10	218 0.8×	192 0.9×	168 1.1×	47 0.7×	35 0.7×	11	430
Jiyong Cheong South Korea	6	250 0.9×	175 0.9×	118 0.8×	36 0.5×	24 0.5×	8	385
Young Kyoung Oh South Korea	8	443 1.6×	417 2.0×	75 0.5×	47 0.7×	36 0.8×	10	529
Nam Hoon Kim South Korea	9	250 0.9×	217 1.1×	182 1.2×	128 1.8×	17 0.4×	16	392
В. И. Кукушкин Russia	13	357 1.3×	276 1.4×	158 1.0×	170 2.4×	53 1.1×	51	525
Jeffrey Feng United States	4	314 1.1×	155 0.8×	75 0.5×	17 0.2×	60 1.3×	7	374
Amanda J. Haack United States	6	239 0.8×	170 0.8×	47 0.3×	50 0.7×	24 0.5×	10	359
Cristina Rodriguez-Quijada United States	10	217 0.8×	219 1.1×	50 0.3×	78 1.1×	24 0.5×	11	341
Younju Joung South Korea	10	449 1.6×	359 1.8×	187 1.2×	187 2.6×	28 0.6×	17	582
Joung‐Il Moon South Korea	8	434 1.5×	258 1.3×	97 0.6×	234 3.3×	65 1.4×	10	594

Countries citing papers authored by Kang-Yu Chu

Since Specialization

Citations

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

Fields of papers citing papers by Kang-Yu Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang-Yu Chu

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

All Works

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8 of 8 papers shown

Chu, Kang-Yu, Kiyoto Kurima, Yumiko Akamine, et al.. (2025). Spatially heterogeneous acetylcholine dynamics in the striatum promote behavioral flexibility. Nature Communications. 16(1). 10877–10877.

Funari, Riccardo, Kang-Yu Chu, & Amy Q. Shen. (2024). Multiplexed Opto-Microfluidic Biosensing: Advanced Platform for Prostate Cancer Detection. ACS Sensors. 9(5). 2596–2604. 9 indexed citations

Funari, Riccardo, Kang-Yu Chu, & Amy Q. Shen. (2020). Detection of antibodies against SARS-CoV-2 spike protein by gold nanospikes in an opto-microfluidic chip. Biosensors and Bioelectronics. 169. 112578–112578. 228 indexed citations

Miranda, Bruno, Kang-Yu Chu, Pier Luca Maffettone, Amy Q. Shen, & Riccardo Funari. (2020). Metal-Enhanced Fluorescence Immunosensor Based on Plasmonic Arrays of Gold Nanoislands on an Etched Glass Substrate. ACS Applied Nano Materials. 3(10). 10470–10478. 34 indexed citations

Chu, Kang-Yu, et al.. (2019). Real-time monitoring of DNA immobilization and detection of DNA polymerase activity by a microfluidic nanoplasmonic platform. Biosensors and Bioelectronics. 142. 111528–111528. 49 indexed citations

Funari, Riccardo, Nikhil Bhalla, Kang-Yu Chu, Bill Söderström, & Amy Q. Shen. (2018). Nanoplasmonics for Real-Time and Label-Free Monitoring of Microbial Biofilm Formation. ACS Sensors. 3(8). 1499–1509. 35 indexed citations

Kuo, Tsung-Yuan, et al.. (2017). Skin collagen can be accurately quantified through noninvasive optical method: Validation on a swine study. Skin Research and Technology. 24(1). 59–64. 6 indexed citations

Pacsa, A.S., E.A. Elbishbishi, U. C. Chaturvedi, Kang-Yu Chu, & Abu Salim Mustafa. (2002). Hantavirus-specific antibodies in rodents and humans living in Kuwait. FEMS Immunology & Medical Microbiology. 33(2). 139–142. 9 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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