Heeju Noh
Impact in
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- Supercapacitor Materials and Fabrication
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- Conducting polymers and applications
Papers in
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- Gene Regulatory Network Analysis 5
- Bioinformatics and Genomic Networks 4
- Viral Infectious Diseases and Gene Expression in Insects 1
- Gene expression and cancer classification 1
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- Computational Drug Discovery Methods 2
- Co-authors
- R. Kötz (1 shared paper)Alexander Wokaun (1 shared paper)Annette Foelske (1 shared paper)D. Weingarth (1 shared paper)Rudiyanto Gunawan (4 shared papers)Jason E. Shoemaker (3 shared papers)Massimo Morbidelli (1 shared paper)Miroslav Šoóš (1 shared paper)
- Journals
- Science Advances (1 paper)Advanced Science (1 paper)Biotechnology Progress (1 paper)Journal of Investigative Dermatology (1 paper)Electrochimica Acta (1 paper)
- Partner nations
- SwitzerlandUnited StatesLebanon
In The Last Decade
Heeju Noh
9 papers receiving 284 citations
Peers
Comparison fields: 5 of 45
- Electronic, Optical and Magnetic Materials 173
- Polymers and Plastics 65
- Catalysis 27
- Electrical and Electronic Engineering 156
- Computational Theory and Mathematics 23
Countries citing papers authored by Heeju Noh
This map shows the geographic impact of Heeju Noh'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 Heeju Noh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heeju Noh more than expected).
Fields of papers citing papers by Heeju Noh
This network shows the impact of papers produced by Heeju Noh. 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 Heeju Noh. The network helps show where Heeju Noh may publish in the future.
Co-authors
The 25 scholars most cited alongside Heeju Noh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 193 | |
| 2 | 2015 | 38 | |
| 3 | 2017 | 35 | |
| 4 | 2016 | 13 | |
| 5 | 2016 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2020 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2021 | 0 |
About Heeju Noh
Heeju Noh is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Pulmonary and Respiratory Medicine and Epidemiology, having authored 11 papers that have together received 287 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (4 papers), Computational Drug Discovery Methods (2 papers), Alzheimer's disease research and treatments (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Gene expression and cancer classification (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Electronic, Optical and Magnetic Materials (173 citations), Polymers and Plastics (65 citations), Catalysis (27 citations), Electrical and Electronic Engineering (156 citations) and Computational Theory and Mathematics (23 citations). Heeju Noh has collaborated with scholars based in Switzerland, United States and Lebanon. Frequent co-authors include R. Kötz, Alexander Wokaun, Annette Foelske, D. Weingarth, Rudiyanto Gunawan, Jason E. Shoemaker, Massimo Morbidelli, Miroslav Šoóš, Adolfo García‐Sastre and Kevin Brown Chandler. Their work appears in journals such as Science Advances, Advanced Science, Biotechnology Progress, Journal of Investigative Dermatology and Electrochimica Acta.
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.