Hyou‐Arm Joung

2.1k total citations
36 papers, 1.5k citations indexed

About

Hyou‐Arm Joung is a scholar working on Biomedical Engineering, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Hyou‐Arm Joung has authored 36 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 22 papers in Molecular Biology and 7 papers in Infectious Diseases. Recurrent topics in Hyou‐Arm Joung's work include Biosensors and Analytical Detection (25 papers), Advanced Biosensing Techniques and Applications (14 papers) and Advanced biosensing and bioanalysis techniques (13 papers). Hyou‐Arm Joung is often cited by papers focused on Biosensors and Analytical Detection (25 papers), Advanced Biosensing Techniques and Applications (14 papers) and Advanced biosensing and bioanalysis techniques (13 papers). Hyou‐Arm Joung collaborates with scholars based in South Korea, United States and China. Hyou‐Arm Joung's co-authors include Min‐Gon Kim, Young Kyoung Oh, Chan Beum Park, Joonseok Lee, Sanghyo Kim, Aydogan Özcan, Hyung Soo Han, Omai B. Garner, Hyoyoung Mun and Dino Di Carlo and has published in prestigious journals such as Nature Communications, ACS Nano and Analytical Chemistry.

In The Last Decade

Hyou‐Arm Joung

33 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyou‐Arm Joung South Korea 21 1.1k 1.0k 226 178 177 36 1.5k
Sungho Ko South Korea 15 563 0.5× 676 0.7× 117 0.5× 191 1.1× 177 1.0× 25 1.0k
Matthias Steiert Germany 10 388 0.4× 1.1k 1.1× 220 1.0× 169 0.9× 51 0.3× 16 1.9k
Xiong Ding China 23 1.4k 1.3× 1.6k 1.6× 592 2.6× 166 0.9× 84 0.5× 69 2.5k
Abel Oliva Portugal 24 503 0.5× 252 0.2× 227 1.0× 181 1.0× 273 1.5× 65 1.4k
Daniel Mark Germany 20 2.6k 2.4× 856 0.8× 176 0.8× 213 1.2× 872 4.9× 48 3.4k
Daniel Quesada-González Spain 14 1.4k 1.3× 1.3k 1.3× 319 1.4× 307 1.7× 210 1.2× 18 2.0k
Kuangwen Hsieh United States 33 2.2k 2.0× 2.3k 2.2× 411 1.8× 114 0.6× 409 2.3× 100 3.7k
Simone Cavalera Italy 17 881 0.8× 819 0.8× 330 1.5× 148 0.8× 56 0.3× 42 1.4k
Katie A. Edwards United States 20 443 0.4× 696 0.7× 80 0.4× 65 0.4× 110 0.6× 37 1.1k
Avraham Rasooly United States 32 1.6k 1.4× 1.8k 1.8× 190 0.8× 337 1.9× 502 2.8× 80 2.9k

Countries citing papers authored by Hyou‐Arm Joung

Since Specialization
Citations

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

Fields of papers citing papers by Hyou‐Arm Joung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyou‐Arm Joung. 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 Hyou‐Arm Joung. The network helps show where Hyou‐Arm Joung may publish in the future.

Co-authorship network of co-authors of Hyou‐Arm Joung

This figure shows the co-authorship network connecting the top 25 collaborators of Hyou‐Arm Joung. A scholar is included among the top collaborators of Hyou‐Arm Joung 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 Hyou‐Arm Joung. Hyou‐Arm Joung 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.
Jang, Hyun‐June, Hyou‐Arm Joung, Anastasia Gant Kanegusuku, et al.. (2024). Deep Learning-Based Kinetic Analysis in Paper-Based Analytical Cartridges Integrated with Field-Effect Transistors. ACS Nano. 18(36). 24792–24802. 8 indexed citations
2.
Ghosh, Rajesh, Hyou‐Arm Joung, Kevin Ngo, et al.. (2024). Rapid single-tier serodiagnosis of Lyme disease. Nature Communications. 15(1). 7124–7124. 10 indexed citations
3.
Eryılmaz, Merve, Gyeo‐Re Han, Hyou‐Arm Joung, et al.. (2024). A Paper-Based Multiplexed Serological Test to Monitor Immunity against SARS-COV-2 Using Machine Learning. ACS Nano. 18(26). 16819–16831. 7 indexed citations
4.
Joung, Hyou‐Arm, Rajesh Ghosh, Gyeo‐Re Han, et al.. (2023). Deep Learning‐Enabled Multiplexed Point‐of‐Care Sensor using a Paper‐Based Fluorescence Vertical Flow Assay. Small. 19(51). e2300617–e2300617. 25 indexed citations
5.
6.
Luo, Yi, et al.. (2021). Quantitative particle agglutination assay for point-of-care testing using mobile holographic imaging and deep learning. Lab on a Chip. 21(18). 3550–3558. 25 indexed citations
7.
Ray, Aniruddha, Mark R. Hanudel, Hyou‐Arm Joung, et al.. (2020). Measurement of serum phosphate levels using a mobile sensor. The Analyst. 145(5). 1841–1848. 22 indexed citations
8.
Joung, Hyou‐Arm, Zachary S. Ballard, Alice Ma, et al.. (2019). Paper-based multiplexed vertical flow assay for point-of-care testing. Lab on a Chip. 19(6). 1027–1034. 57 indexed citations
9.
Joung, Hyou‐Arm, Zachary S. Ballard, Jing Wu, et al.. (2019). Point-of-Care Serodiagnostic Test for Early-Stage Lyme Disease Using a Multiplexed Paper-Based Immunoassay and Machine Learning. ACS Nano. 14(1). 229–240. 80 indexed citations
10.
Seok, Youngung, Hyou‐Arm Joung, Hyo‐Sung Jeon, et al.. (2016). Loop-mediated isothermal amplification on the paper-based device for simultaneous and time-dependent detection of bacterial meningitis DNA. 한국생물공학회 학술대회. 574–574.
11.
Joung, Hyou‐Arm, et al.. (2016). An immunochromatographic biosensor combined with a water-swellable polymer for automatic signal generation or amplification. Biosensors and Bioelectronics. 85. 422–428. 24 indexed citations
12.
Li, Cheng Guo, et al.. (2015). One-touch-activated blood multidiagnostic system using a minimally invasive hollow microneedle integrated with a paper-based sensor. Lab on a Chip. 15(16). 3286–3292. 118 indexed citations
13.
Oh, Young Kyoung, Hyou‐Arm Joung, Hyung Soo Han, Ho‐Jun Suk, & Min‐Gon Kim. (2014). A three-line lateral flow assay strip for the measurement of C-reactive protein covering a broad physiological concentration range in human sera. Biosensors and Bioelectronics. 61. 285–289. 75 indexed citations
14.
Joung, Hyou‐Arm, Young Kyoung Oh, & Min‐Gon Kim. (2013). An automatic enzyme immunoassay based on a chemiluminescent lateral flow immunosensor. Biosensors and Bioelectronics. 53. 330–335. 75 indexed citations
15.
Oh, Young Kyoung, Hyou‐Arm Joung, Sanghyo Kim, & Min‐Gon Kim. (2012). Vertical flow immunoassay (VFA) biosensor for a rapid one-step immunoassay. Lab on a Chip. 13(5). 768–768. 95 indexed citations
16.
Joung, Hyou‐Arm, Seok Ki Lee, Junhyoung Ahn, et al.. (2008). High sensitivity detection of 16s rRNA using peptide nucleic acid probes and a surface plasmon resonance biosensor. Analytica Chimica Acta. 630(2). 168–173. 58 indexed citations
17.
Lee, Kyung‐Ho, Hyou‐Arm Joung, Junho Ahn, et al.. (2007). Real-time monitoring of cell-free protein synthesis on a surface plasmon resonance chip. Analytical Biochemistry. 366(2). 170–174. 11 indexed citations
18.
Jeong, Eunju, Kyoungsook Park, Hyou‐Arm Joung, et al.. (2007). Detection of glucose-induced conformational change in hexokinase II using fluorescence complementation assay. Biotechnology Letters. 29(5). 797–802. 3 indexed citations
19.
Joung, Hyou‐Arm, In‐Kyung Kim, Junhyoung Ahn, et al.. (2005). Microarray-Based Analysis of 16s rRNAs for the Detection of Food-Borne Pathogens. 한국생물공학회 학술대회. 487–488.
20.
Kim, Moonil, Sun Ok Jung, Kyoungsook Park, et al.. (2005). Detection of Bax protein conformational change using a surface plasmon resonance imaging-based antibody chip. Biochemical and Biophysical Research Communications. 338(4). 1834–1838. 29 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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