Gyeo‐Re Han

854 citations
14 papers · 390 · 1 hit paper · h-index 11

Impact in

Papers in

Gyeo‐Re Han

14 papers receiving 385 citations

Gyeo‐Re Han's Hit Papers

Machine learning in point-of-care testing: innovations, challenges, and opportunities 2025 · 47 citations
470Years since publication10203040

Peers

Gyeo‐Re Han
Comparison fields: 5 of 69
  • Biomedical Engineering 260
  • Bioengineering 30
  • Molecular Biology 246
  • Infectious Diseases 60
  • Biophysics 14
Replace Carolin Müller with:
Carolin Müller Germany
Alice Schlichtiger Germany
Zhenrui Xue China
Thomas van Oordt Germany
Sidhartha Jain United States
Chayachon Apiwat Thailand
Tamer AbdElFatah Canada
Joon S. Shim South Korea
Chungen Qian China
Cunming Hu China
Gyeo‐Re Han relative to Carolin Müller Germany Carolin Müller's profile →
Citations per field
00.5×
Carolin Müller · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Gyeo‐Re Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gyeo‐Re Han Line = papers co-authored together Gyeo‐Re Han links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202066
2 201952
3
Machine learning in point-of-care testing: innovations, challenges, and opportunities
Hit paper breakdown →
202547
4 202046
5 202045
6 202325
7 201624
8 202024
9 202418
10 201917
11 202111
12 20247
13 20255
14 20233

About Gyeo‐Re Han

Gyeo‐Re Han is a scholar working on Biomedical Engineering, Molecular Biology, Infectious Diseases, Endocrinology, Diabetes and Metabolism and Biophysics, having authored 14 papers that have together received 390 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (14 papers), Advanced Biosensing Techniques and Applications (9 papers), Advanced biosensing and bioanalysis techniques (8 papers), SARS-CoV-2 detection and testing (6 papers), Electrochemical sensors and biosensors (1 paper), Cell Image Analysis Techniques (1 paper), Diabetes Management and Research (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Biomedical Engineering (260 citations), Bioengineering (30 citations), Molecular Biology (246 citations), Infectious Diseases (60 citations) and Biophysics (14 citations). Gyeo‐Re Han has collaborated with scholars based in South Korea, United States and Türkiye. Frequent co-authors include Min‐Gon Kim, Hangil Ki, Hyou‐Arm Joung, Ho-Yeon Lee, Hyungjun Jang, Rajesh Ghosh, Dino Di Carlo, Aydogan Özcan, Sanghyo Kim and Merve Eryılmaz. Their work appears in journals such as ACS Nano, Small, ACS Applied Materials & Interfaces, Small Methods and Nature Communications.

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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