Hye-Won Kang
Impact in
- Complementary and Manual Therapy top 10%
- Modeling and Simulation top 10%
Papers in
-
- Gene Regulatory Network Analysis 8
- Microbial Metabolic Engineering and Bioproduction 4
- Bioinformatics and Genomic Networks 4
-
- GaN-based semiconductor devices and materials 4
- Co-authors
- Thomas G. Kurtz (1 shared paper)Alexei Bogdanov (3 shared papers)Grzegorz A. Rempała (2 shared papers)Gerard J. Nuovo (1 shared paper)Michela Garofalo (1 shared paper)S. Patrick Nana‐Sinkam (1 shared paper)Avner Friedman (1 shared paper)Melissa Crawford (1 shared paper)
- Journals
- Bulletin of Mathematical Biology (4 papers)Scientific Reports (3 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)BMC Systems Biology (1 paper)Biomaterials Research (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Hye-Won Kang
22 papers receiving 362 citations
Peers
Comparison fields: 5 of 86
- Complementary and Manual Therapy 13
- Modeling and Simulation 20
- Condensed Matter Physics 38
- Molecular Biology 205
- Biomaterials 38
Countries citing papers authored by Hye-Won Kang
This map shows the geographic impact of Hye-Won Kang'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 Hye-Won Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hye-Won Kang more than expected).
Fields of papers citing papers by Hye-Won Kang
This network shows the impact of papers produced by Hye-Won Kang. 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 Hye-Won Kang. The network helps show where Hye-Won Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hye-Won Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 79 | |
| 2 | 2012 | 48 | |
| 3 | 2013 | 42 | |
| 4 | 2003 | 23 | |
| 5 | 2019 | 21 | |
| 6 | 2005 | 21 | |
| 7 | 2007 | 16 | |
| 8 | 2015 | 15 | |
| 9 | 2018 | 15 | |
| 10 | 2007 | 14 | |
| 11 | 2017 | 14 | |
| 12 | 2019 | 14 | |
| 13 | 2005 | 12 | |
| 14 | 2012 | 11 | |
| 15 | 2009 | 9 | |
| 16 | 2019 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2002 | 4 | |
| 20 | 2024 | 1 |
About Hye-Won Kang
Hye-Won Kang is a scholar working on Molecular Biology, Condensed Matter Physics, Electronic, Optical and Magnetic Materials, Computer Networks and Communications and Endocrine and Autonomic Systems, having authored 23 papers that have together received 377 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (8 papers), GaN-based semiconductor devices and materials (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Bioinformatics and Genomic Networks (4 papers), Ga2O3 and related materials (3 papers), Metal and Thin Film Mechanics (2 papers), Nonlinear Dynamics and Pattern Formation (2 papers) and Circadian rhythm and melatonin (2 papers). The work is most often cited by research in Complementary and Manual Therapy (13 citations), Modeling and Simulation (20 citations), Condensed Matter Physics (38 citations), Molecular Biology (205 citations) and Biomaterials (38 citations). Hye-Won Kang has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Thomas G. Kurtz, Alexei Bogdanov, Grzegorz A. Rempała, Gerard J. Nuovo, Michela Garofalo, S. Patrick Nana‐Sinkam, Avner Friedman, Melissa Crawford, Ian T. Ferguson and Muller Fabbri. Their work appears in journals such as Bulletin of Mathematical Biology, Scientific Reports, International Journal of Radiation Oncology*Biology*Physics, BMC Systems Biology and Biomaterials Research.
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.