Hyunku Shin

1.7k total citations · 2 hit papers
24 papers, 1.3k citations indexed

About

Hyunku Shin is a scholar working on Molecular Biology, Biophysics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Hyunku Shin has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Biophysics and 6 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Hyunku Shin's work include Extracellular vesicles in disease (13 papers), Gold and Silver Nanoparticles Synthesis and Applications (6 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (5 papers). Hyunku Shin is often cited by papers focused on Extracellular vesicles in disease (13 papers), Gold and Silver Nanoparticles Synthesis and Applications (6 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (5 papers). Hyunku Shin collaborates with scholars based in South Korea, Japan and United States. Hyunku Shin's co-authors include Yeonho Choi, Hyesun Jeong, Sunghoi Hong, Hyun Koo Kim, Byeong Hyeon Choi, Yong Park, Jaena Park, Seunghyun Oh, Min-Sung Kang and Ka‐Won Kang and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and ACS Nano.

In The Last Decade

Hyunku Shin

23 papers receiving 1.3k citations

Hit Papers

Early-Stage Lung Cancer Diagnosis by Deep Learning-Based ... 2020 2026 2022 2024 2020 2023 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Early-Stage Lung Cancer Diagnosis by Deep Learning-Based Spectroscopic Analysis of Circulating Exosomes
    2020 387 citations Hyunku Shin, Seunghyun Oh et al. ACS Nano profile →
  2. Single test-based diagnosis of multiple cancer types using Exosome-SERS-AI for early stage cancers
    2023 227 citations Hyunku Shin, Byeong Hyeon Choi et al. Nature Communications profile →

Peers

Hyunku Shin
Byeong Hyeon Choi South Korea
Sufang Qiu China
Chao Zheng China
Tatu Rojalin United States
Seunghyun Oh South Korea
Kelly Aubertin France
Lorena Diéguez Portugal
Santosh Kumar Paidi United States
Yu Mao China
Byeong Hyeon Choi South Korea
Hyunku Shin
Citations per year, relative to Hyunku Shin Hyunku Shin (= 1×) peers Byeong Hyeon Choi

Countries citing papers authored by Hyunku Shin

Since Specialization
Citations

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

Fields of papers citing papers by Hyunku Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyunku Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Hyunku Shin. A scholar is included among the top collaborators of Hyunku Shin 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 Hyunku Shin. Hyunku Shin 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.
Choi, Inhee, et al.. (2025). Improved Liquid Biopsy Using Peeled-Off Plasma Extracellular Vesicles. ACS Applied Nano Materials. 8(45). 22061–22069.
2.
Kim, Min-Sang, Hyesun Jeong, Byeong Hyeon Choi, et al.. (2024). GCC2 promotes non-small cell lung cancer progression by maintaining Golgi apparatus integrity and stimulating EGFR signaling pathways. Scientific Reports. 14(1). 28926–28926. 1 indexed citations
3.
Kang, Youbin, et al.. (2024). Liquid Biopsy-Based Detection and Response Prediction for Depression. ACS Nano. 18(47). 32498–32507. 7 indexed citations
4.
Shin, Hyunku, Byeong Hyeon Choi, Jihee Kim, et al.. (2023). Single test-based diagnosis of multiple cancer types using Exosome-SERS-AI for early stage cancers. Nature Communications. 14(1). 1644–1644. 227 indexed citations breakdown →
5.
Cho, Yang Hyun, et al.. (2023). Permanent Anticoagulation Blood‐Vessel by Mezzo‐Sized Double Re‐Entrant Structure. Small. 19(27). e2300564–e2300564. 5 indexed citations
6.
Shin, Hyunku, et al.. (2023). Artificial Intelligence-Based Major Depressive Disorder (MDD) Diagnosis Using Raman Spectroscopic Features of Plasma Exosomes. Analytical Chemistry. 95(15). 6410–6416. 46 indexed citations
7.
Kang, Ka‐Won, Byeong Hyeon Choi, Hyesun Jeong, et al.. (2021). Dual size-exclusion chromatography for efficient isolation of extracellular vesicles from bone marrow derived human plasma. Scientific Reports. 11(1). 217–217. 18 indexed citations
8.
Lima, Luize G., Sunyoung Ham, Hyunku Shin, et al.. (2021). Tumor microenvironmental cytokines bound to cancer exosomes determine uptake by cytokine receptor-expressing cells and biodistribution. Nature Communications. 12(1). 3543–3543. 116 indexed citations
9.
Jeong, Hyesun, Byeong Hyeon Choi, Jik‐Han Jung, et al.. (2021). GCC2 as a New Early Diagnostic Biomarker for Non-Small Cell Lung Cancer. Cancers. 13(21). 5482–5482. 20 indexed citations
10.
Kang, Ka‐Won, Woojune Hur, Hyunku Shin, et al.. (2020). A Proteomic Approach to Understand the Clinical Significance of Acute Myeloid Leukemia–Derived Extracellular Vesicles Reflecting Essential Characteristics of Leukemia. Molecular & Cellular Proteomics. 20. 100017–100017. 12 indexed citations
11.
Shin, Hyunku, Seunghyun Oh, Soonwoo Hong, et al.. (2020). Liquid biopsy of lung cancer by deep learning and spectroscopic analysis of circulating exosomes.. Journal of Clinical Oncology. 38(15_suppl). e15532–e15532. 2 indexed citations
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Shin, Hyunku, et al.. (2019). Wrapping AgCl Nanostructures with Trimetallic Nanomeshes for Plasmon-Enhanced Catalysis and in Situ SERS Monitoring of Chemical Reactions. ACS Applied Materials & Interfaces. 12(2). 2842–2853. 22 indexed citations
15.
Shin, Hyunku, et al.. (2019). Flexible and Stable Omniphobic Surfaces Based on Biomimetic Repulsive Air-Spring Structures. ACS Applied Materials & Interfaces. 11(6). 5877–5884. 25 indexed citations
16.
Kang, Ka‐Won, Woojune Hur, Jaena Park, et al.. (2018). The Potential of Exosomes Derived from Chronic Myelogenous Leukaemia Cells as a Biomarker. Anticancer Research. 38(7). 3935–3942. 27 indexed citations
17.
Shin, Hyunku, Hyesun Jeong, Jaena Park, Sunghoi Hong, & Yeonho Choi. (2018). Correlation between Cancerous Exosomes and Protein Markers Based on Surface-Enhanced Raman Spectroscopy (SERS) and Principal Component Analysis (PCA). ACS Sensors. 3(12). 2637–2643. 189 indexed citations
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19.
Lim, Jae Young, Hyunku Shin, Gyu‐Un Bae, et al.. (2015). Identification of Newly Emerging Influenza Viruses by Surface-Enhanced Raman Spectroscopy. Analytical Chemistry. 87(23). 11652–11659. 71 indexed citations
20.
Shin, Hyunku, et al.. (2013). In-Situ Nanospectroscopic pH Monitoring by Plasmon Resonance Energy Transfer (PRET). Journal of Nanoscience and Nanotechnology. 13(11). 7287–7290. 4 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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