Gyeo‐Re Han

854 total citations · 1 hit paper
14 papers, 390 citations indexed

About

Gyeo‐Re Han is a scholar working on Biomedical Engineering, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Gyeo‐Re Han has authored 14 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 11 papers in Molecular Biology and 6 papers in Infectious Diseases. Recurrent topics in Gyeo‐Re Han's work include Biosensors and Analytical Detection (14 papers), Advanced Biosensing Techniques and Applications (9 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Gyeo‐Re Han is often cited by papers focused on Biosensors and Analytical Detection (14 papers), Advanced Biosensing Techniques and Applications (9 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Gyeo‐Re Han collaborates with scholars based in South Korea, United States and Türkiye. Gyeo‐Re Han's co-authors include Min‐Gon Kim, Hangil Ki, Hyou‐Arm Joung, Ho-Yeon Lee, Hyungjun Jang, Dino Di Carlo, Aydogan Özcan, Rajesh Ghosh, Sanghyo Kim and Merve Eryılmaz and has published in prestigious journals such as Nature Communications, ACS Nano and Analytical Chemistry.

In The Last Decade

Gyeo‐Re Han

14 papers receiving 385 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.

Machine learning in point-of-care testing: innovations, challenges, and opportunities

2025 47 citations Gyeo‐Re Han, Merve Eryılmaz et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gyeo‐Re Han South Korea	11	260	246	70	60	47	14	390
Carolin Müller Germany	3	312 1.2×	233 0.9×	72 1.0×	72 1.2×	34 0.7×	4	484
Alice Schlichtiger Germany	4	322 1.2×	269 1.1×	74 1.1×	81 1.4×	37 0.8×	6	513
Hyungjun Jang South Korea	12	207 0.8×	203 0.8×	65 0.9×	72 1.2×	49 1.0×	16	339
Wei Yin Lim Malaysia	7	236 0.9×	182 0.7×	69 1.0×	50 0.8×	23 0.5×	13	310
Jorge Wong United States	9	328 1.3×	219 0.9×	40 0.6×	32 0.5×	52 1.1×	14	460
Duygu Beduk Türkiye	7	232 0.9×	166 0.7×	92 1.3×	120 2.0×	34 0.7×	8	335
Joon S. Shim South Korea	13	534 2.1×	254 1.0×	142 2.0×	83 1.4×	65 1.4×	23	649
Marina Ribeiro Batistuti Sawazaki Brazil	8	160 0.6×	288 1.2×	109 1.6×	30 0.5×	29 0.6×	13	375
Kamila Malecka Poland	14	199 0.8×	333 1.4×	108 1.5×	58 1.0×	45 1.0×	23	455
Jinmyeong Kim South Korea	12	183 0.7×	277 1.1×	86 1.2×	42 0.7×	75 1.6×	16	375

Countries citing papers authored by Gyeo‐Re Han

Since Specialization

Citations

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

Fields of papers citing papers by Gyeo‐Re Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gyeo‐Re Han. 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 Gyeo‐Re Han. The network helps show where Gyeo‐Re Han may publish in the future.

Co-authorship network of co-authors of Gyeo‐Re Han

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Han, Gyeo‐Re, Merve Eryılmaz, Rajesh Ghosh, et al.. (2025). Machine learning in point-of-care testing: innovations, challenges, and opportunities. Nature Communications. 16(1). 3165–3165. 47 indexed citations breakdown →

Jeon, Jae‐Hyung, Han Yong Choi, Gyeo‐Re Han, et al.. (2025). Paper-Based Vertical Flow Assays for in Vitro Diagnostics and Environmental Monitoring. ACS Sensors. 10(5). 3317–3339. 5 indexed citations

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

Han, Gyeo‐Re, Merve Eryılmaz, Hyou‐Arm Joung, et al.. (2024). Deep Learning-Enhanced Paper-Based Vertical Flow Assay for High-Sensitivity Troponin Detection Using Nanoparticle Amplification. ACS Nano. 18(41). 27933–27948. 18 indexed citations

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

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 51/2023). Small. 19(51). 3 indexed citations

Han, Gyeo‐Re, Hyungjun Jang, Hangil Ki, Ho-Yeon Lee, & Min‐Gon Kim. (2021). Reagent Filming for Universal Point‐of‐Care Diagnostics. Small Methods. 5(12). e2100645–e2100645. 11 indexed citations

Ki, Hangil, Hyungjun Jang, Gyeo‐Re Han, et al.. (2020). Simultaneous Detection of Serum Glucose and Glycated Albumin on a Paper-Based Sensor for Acute Hyperglycemia and Diabetes Mellitus. Analytical Chemistry. 92(17). 11530–11534. 46 indexed citations

Ki, Hangil, et al.. (2020). Glycation ratio determination through simultaneous detection of human serum albumin and glycated albumin on an advanced lateral flow immunoassay sensor. Lab on a Chip. 20(4). 844–851. 24 indexed citations

10.

Han, Gyeo‐Re, et al.. (2020). Paper/Soluble Polymer Hybrid-Based Lateral Flow Biosensing Platform for High-Performance Point-of-Care Testing. ACS Applied Materials & Interfaces. 12(31). 34564–34575. 66 indexed citations

11.

Han, Gyeo‐Re & Min‐Gon Kim. (2020). Highly Sensitive Chemiluminescence-Based Lateral Flow Immunoassay for Cardiac Troponin I Detection in Human Serum. Sensors. 20(9). 2593–2593. 45 indexed citations

12.

Han, Gyeo‐Re & Min‐Gon Kim. (2019). Design, Synthesis, and Evaluation of Gold Nanoparticle-Antibody-Horseradish Peroxidase Conjugates for Highly Sensitive Chemiluminescence Immunoassay (hs-CLIA). Biotechnology and Bioprocess Engineering. 24(1). 206–214. 17 indexed citations

13.

Han, Gyeo‐Re, Hangil Ki, & Min‐Gon Kim. (2019). Automated, Universal, and Mass-Producible Paper-Based Lateral Flow Biosensing Platform for High-Performance Point-of-Care Testing. ACS Applied Materials & Interfaces. 12(1). 1885–1894. 52 indexed citations

14.

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

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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