Dong Hyung Kim

691 total citations · 1 hit paper
15 papers, 497 citations indexed

About

Dong Hyung Kim is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Bioengineering. According to data from OpenAlex, Dong Hyung Kim has authored 15 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Electrical and Electronic Engineering and 3 papers in Bioengineering. Recurrent topics in Dong Hyung Kim's work include Advanced biosensing and bioanalysis techniques (5 papers), Analytical Chemistry and Sensors (3 papers) and Electrochemical Analysis and Applications (2 papers). Dong Hyung Kim is often cited by papers focused on Advanced biosensing and bioanalysis techniques (5 papers), Analytical Chemistry and Sensors (3 papers) and Electrochemical Analysis and Applications (2 papers). Dong Hyung Kim collaborates with scholars based in South Korea, United States and Australia. Dong Hyung Kim's co-authors include Il‐Hoon Cho, Sangsoo Park, Hyun Mo Cho, Mangesh S. Diware, Jiyoon Bu, Won Chegal, Yong Jai Cho, Il Doh, Se‐Hwan Paek and Deborah Lee and has published in prestigious journals such as Coordination Chemistry Reviews, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Dong Hyung Kim

12 papers receiving 484 citations

Hit Papers

align trajectories

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.

Electrochemical biosensors: perspective on functional nanomaterials for on-site analysis

2020 451 citations Il‐Hoon Cho, Dong Hyung Kim et al. Biomaterials Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dong Hyung Kim South Korea	6	288	211	207	94	92	15	497
Anabel Villalonga Spain	12	362 1.3×	225 1.1×	165 0.8×	117 1.2×	89 1.0×	20	517
Ayman Ali Saeed Egypt	9	258 0.9×	231 1.1×	160 0.8×	97 1.0×	82 0.9×	12	460
Robert Ziółkowski Poland	15	334 1.2×	220 1.0×	148 0.7×	74 0.8×	167 1.8×	38	554
Yangzhong Wang China	7	348 1.2×	200 0.9×	178 0.9×	130 1.4×	102 1.1×	9	545
Haolin Xiao China	11	236 0.8×	212 1.0×	163 0.8×	48 0.5×	63 0.7×	18	383
Ezat Hamidi‐Asl Iran	15	502 1.7×	294 1.4×	168 0.8×	72 0.8×	120 1.3×	22	659
Masoumeh Sarabaegi Iran	12	181 0.6×	151 0.7×	136 0.7×	82 0.9×	77 0.8×	12	352
Ui Jin Lee South Korea	5	248 0.9×	180 0.9×	219 1.1×	69 0.7×	75 0.8×	9	431
Zhiru Zhou United States	8	228 0.8×	214 1.0×	171 0.8×	68 0.7×	82 0.9×	14	458

Countries citing papers authored by Dong Hyung Kim

Since Specialization

Citations

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

Fields of papers citing papers by Dong Hyung Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong Hyung Kim. 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 Dong Hyung Kim. The network helps show where Dong Hyung Kim may publish in the future.

Co-authorship network of co-authors of Dong Hyung Kim

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

All Works

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15 of 15 papers shown

Shin, Dongjun, Jung Hyun Choi, Hoomin Lee, et al.. (2025). Synovial exosomal type II collagen as a biomarker for osteoarthritis Progression: From molecular evaluation to AI-powered SERS-based diagnosis. Biosensors and Bioelectronics. 293. 118180–118180.

Shin, Dongjun, Hoomin Lee, Il Doh, et al.. (2025). Dual Biomarker Strategies for Liquid Biopsy: Integrating Circulating Tumor Cells and Circulating Tumor DNA for Enhanced Tumor Monitoring. Biosensors. 15(2). 74–74. 10 indexed citations

Jeong, Euna, Minyoung Lee, Jun Hyeok Lim, et al.. (2025). Aptamer‐Engineered Ellipsometry for Clinical Detection of BALF‐Derived Exosomes: Multi‐Level Engineering for Prognostic Evaluation of Immunotherapy Responses. Advanced Science. 13(3). e15247–e15247.

Lee, Deborah, Dong Hyung Kim, Il Doh, et al.. (2025). Liquid biopsy for cancer immunotherapy: Biomarkers to predict and monitor response upon immune checkpoint blockade. Coordination Chemistry Reviews. 539. 216767–216767. 6 indexed citations

Kim, Jooyoung, Lucia Kim, Sun Choi, et al.. (2025). In silico fragment-based peptide design targeting undruggable proteins for enhanced detection of circulating tumor cells. Chemical Engineering Journal. 522. 167447–167447. 1 indexed citations

Shin, Dongjun, Lucia Kim, Tae Hee Lee, et al.. (2025). Avidity‐Based Capture of PD‐L1‐Expressing Exosomes via Dendrimer–Peptide Conjugates: A Nanoengineered Platform for Enhanced Prediction of Immunotherapy Response. Advanced Science. 12(42). e09270–e09270. 1 indexed citations

Lee, Ui Jin, Oh Seok Kwon, Jeong Mee Park, et al.. (2023). Single-Cell Detection of Erwinia amylovora Using Bio-Functionalized SIS Sensor. Sensors. 23(17). 7400–7400. 1 indexed citations

Kim, Dong Hyung, Won Chegal, Mangesh S. Diware, et al.. (2023). Ultrasensitive detection of beta-amyloid 1–42 as a relevant biomarker for Alzheimer's disease in serum. Sensors and Actuators B Chemical. 396. 134588–134588. 8 indexed citations

Song, Young-Min, et al.. (2023). Highly Effective and Efficient Self-Assembled Multilayer-Based Electrode Passivation for Operationally Stable and Reproducible Electrolyte-Gated Transistor Biosensors. ACS Applied Materials & Interfaces. 15(39). 46527–46537. 3 indexed citations

10.

Kim, Dong Hyung, et al.. (2022). Subnanometer dextran analysis for biosensors using a tilt stage in atomic force microscopy. Progress in Organic Coatings. 170. 106943–106943. 1 indexed citations

11.

Cho, Il‐Hoon, Dong Hyung Kim, & Sangsoo Park. (2020). Electrochemical biosensors: perspective on functional nanomaterials for on-site analysis. Biomaterials Research. 24(1). 6–6. 451 indexed citations breakdown →

12.

Kim, Dong Hyung, Won Chegal, Yong Jai Cho, et al.. (2020). Normal-incidence type solution immersed silicon (SIS) biosensor for ultra-sensitive, label-free detection of cardiac troponin I. Biosensors and Bioelectronics. 168. 112525–112525. 7 indexed citations

13.

Lee, Ui Jin, Myung Hee Kim, Myung Hee Kim, et al.. (2019). PAS1-modified optical SIS sensor for highly sensitive and specific detection of toluene. Biosensors and Bioelectronics. 141. 111469–111469. 7 indexed citations

14.

Kim, Dong Hyung, et al.. (2016). Development of Biomimetic Underwater Vehicle using Single Actuator. Journal of the Korean Society for Precision Engineering. 33(7). 571–577. 1 indexed citations

15.

Lee, Kyung Tai, et al.. (1998). Reconstruction of Rheumatoid Forefoot Deformities. The Journal of the Korean Orthopaedic Association. 33(2). 302–302.

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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