Soo‐Yeon Cho

6.3k total citations · 3 hit papers
98 papers, 5.4k citations indexed

About

Soo‐Yeon Cho is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Soo‐Yeon Cho has authored 98 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 37 papers in Biomedical Engineering and 32 papers in Materials Chemistry. Recurrent topics in Soo‐Yeon Cho's work include Gas Sensing Nanomaterials and Sensors (28 papers), Analytical Chemistry and Sensors (18 papers) and Advanced Chemical Sensor Technologies (14 papers). Soo‐Yeon Cho is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (28 papers), Analytical Chemistry and Sensors (18 papers) and Advanced Chemical Sensor Technologies (14 papers). Soo‐Yeon Cho collaborates with scholars based in South Korea, United States and China. Soo‐Yeon Cho's co-authors include Hee‐Tae Jung, Seon Joon Kim, Hyeong‐Jun Koh, Jihan Kim, Yury Gogotsi, Kathleen Maleski, Hae‐Wook Yoo, Jung‐Hoon Choi, Ohmin Kwon and Woo‐Bin Jung and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Soo‐Yeon Cho

94 papers receiving 5.3k citations

Hit Papers

Metallic Ti3C2Tx MXene Gas Sensors with Ultrahigh Signal-... 2015 2026 2018 2022 2018 2015 2019 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soo‐Yeon Cho South Korea 31 3.4k 3.2k 2.0k 735 468 98 5.4k
Sumedh P. Surwade United States 23 2.5k 0.7× 1.9k 0.6× 2.4k 1.2× 501 0.7× 353 0.8× 35 4.7k
Kehan Yu China 38 3.4k 1.0× 3.4k 1.1× 1.5k 0.8× 520 0.7× 663 1.4× 129 5.8k
Adam F. Chrimes Australia 27 2.3k 0.7× 2.5k 0.8× 1.5k 0.7× 406 0.6× 672 1.4× 42 4.6k
Kannan Balasubramanian Germany 31 2.4k 0.7× 1.8k 0.6× 1.7k 0.8× 397 0.5× 202 0.4× 93 4.3k
Jingbo Chang United States 34 2.5k 0.7× 3.2k 1.0× 1.4k 0.7× 929 1.3× 335 0.7× 53 5.0k
Haoshuang Gu China 46 4.4k 1.3× 4.4k 1.4× 2.3k 1.1× 1.0k 1.4× 787 1.7× 247 7.4k
Azam Iraji zad Iran 42 2.8k 0.8× 3.3k 1.0× 1.8k 0.9× 783 1.1× 1.1k 2.3× 209 5.9k
S. G. Ansari India 32 2.2k 0.7× 2.2k 0.7× 850 0.4× 518 0.7× 661 1.4× 147 3.9k
Robert Bogdanowicz Poland 34 1.7k 0.5× 1.7k 0.5× 813 0.4× 543 0.7× 448 1.0× 230 4.1k
Helen L. W. Chan Hong Kong 30 1.9k 0.5× 2.2k 0.7× 2.4k 1.2× 581 0.8× 455 1.0× 74 5.0k

Countries citing papers authored by Soo‐Yeon Cho

Since Specialization
Citations

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

Fields of papers citing papers by Soo‐Yeon Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soo‐Yeon Cho. 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 Soo‐Yeon Cho. The network helps show where Soo‐Yeon Cho may publish in the future.

Co-authorship network of co-authors of Soo‐Yeon Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Soo‐Yeon Cho. A scholar is included among the top collaborators of Soo‐Yeon Cho 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 Soo‐Yeon Cho. Soo‐Yeon Cho 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
3.
Jung, Seung Pil, et al.. (2025). Unveiling aging heterogeneities in human dermal fibroblasts via nanosensor chemical cytometry. Nature Communications. 16(1). 6276–6276.
5.
Cho, Soo‐Yeon, Yoon Jae Lee, Young Min Son, et al.. (2024). Establishment of a Dual-Vector System for Gene Delivery Utilizing Prototype Foamy Virus. Journal of Microbiology and Biotechnology. 34(4). 804–811. 3 indexed citations
6.
Elmasry, Mohamed R., et al.. (2024). Machine-Learning-Enhanced Fluorescent Nanosensor Based on Carbon Quantum Dots for Heavy Metal Detection. ACS Applied Nano Materials. 7(5). 5576–5586. 23 indexed citations
7.
Lee, S.H., et al.. (2024). A nIR fluorescent single walled carbon nanotube sensor for broad-spectrum diagnostics. Sensors & Diagnostics. 3(2). 203–217. 24 indexed citations
8.
Jang, Sook‐Jin, Soo‐Yeon Cho, Yadong Zhou, et al.. (2023). Geographical subdivision of Alviniconcha snail populations in the Indian Ocean hydrothermal vent regions. Frontiers in Marine Science. 10. 5 indexed citations
9.
Heo, Jun Hyuk, Tran Quang Trung, Ha-Jeong Kim, et al.. (2023). Sensor design strategy for environmental and biological monitoring. EcoMat. 5(5). 36 indexed citations
10.
Yoon, Sang Eun, et al.. (2023). Nanosensor Chemical Cytometry: Advances and Opportunities in Cellular Therapy and Precision Medicine. SHILAP Revista de lepidopterología. 3(6). 393–403. 10 indexed citations
11.
Gong, Xun, Seon‐Yeong Kwak, Soo‐Yeon Cho, et al.. (2023). Single-Molecule Methane Sensing Using Palladium-Functionalized nIR Fluorescent Single-Walled Carbon Nanotubes. ACS Sensors. 8(11). 4207–4215. 10 indexed citations
12.
Jin, Xiaojia, Xun Gong, N.A. Bakh, et al.. (2023). Corona Phase Molecular Recognition of Interleukin-6 Family Cytokines Using Nir Single Walled Carbon Nanotube. ECS Meeting Abstracts. MA2023-01(55). 2679–2679. 1 indexed citations
13.
Jin, Xiaojia, Michael A. Lee, Xun Gong, et al.. (2023). Corona Phase Molecular Recognition of the Interleukin-6 (IL-6) Family of Cytokines Using nIR Fluorescent Single-Walled Carbon Nanotubes. ACS Applied Nano Materials. 6(11). 9791–9804. 20 indexed citations
14.
Gong, Xun, et al.. (2022). Divalent Metal Cation Optical Sensing Using Single-Walled Carbon Nanotube Corona Phase Molecular Recognition. Analytical Chemistry. 94(47). 16393–16401. 15 indexed citations
15.
Cho, Soo‐Yeon, Xiaojia Jin, Xun Gong, et al.. (2021). Antibody-Free Rapid Detection of SARS-CoV-2 Proteins Using Corona Phase Molecular Recognition to Accelerate Development Time. Analytical Chemistry. 93(44). 14685–14693. 32 indexed citations
16.
Cho, Soo‐Yeon, Xun Gong, Volodymyr B. Koman, et al.. (2021). Cellular lensing and near infrared fluorescent nanosensor arrays to enable chemical efflux cytometry. Nature Communications. 12(1). 3079–3079. 32 indexed citations
17.
Kozawa, Daichi, Soo‐Yeon Cho, Xun Gong, et al.. (2020). A Fiber Optic Interface Coupled to Nanosensors: Applications to Protein Aggregation and Organic Molecule Quantification. ACS Nano. 14(8). 10141–10152. 30 indexed citations
18.
Kim, Seon Joon, Hyeong‐Jun Koh, Chang E. Ren, et al.. (2018). Metallic Ti3C2Tx MXene Gas Sensors with Ultrahigh Signal-to-Noise Ratio. ACS Nano. 12(2). 986–993. 1418 indexed citations breakdown →
19.
Baek, Jieung, Soo‐Yeon Cho, Hohyung Kang, et al.. (2018). Distinct Mechanosensing of Human Neural Stem Cells on Extremely Limited Anisotropic Cellular Contact. ACS Applied Materials & Interfaces. 10(40). 33891–33900. 32 indexed citations
20.
Cho, Soo‐Yeon, et al.. (1994). Fine Needle Aspiration Cytology of Subacute Necrotizing Lymphadenitis: Three Cases Report.. 5(1). 23–27. 1 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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