Kwang‐Hyun Cho
- Molecular Biology top 2%
- Computational Theory and Mathematics top 1%
- Oncology top 5%
- Cell Biology top 5%
- Cancer Research top 5%
- Co-authors
- Yung‐Keun KwonOlaf WolkenhauerSung‐Young ShinJeong‐Rae KimWalter KölchDongsan KimSang‐Mok ChooJunil Kim
- Topics
- Gene Regulatory Network Analysis (89 papers)Bioinformatics and Genomic Networks (54 papers)Petri Nets in System Modeling (25 papers)
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Kwang‐Hyun Cho
235 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 179
- Molecular Biology 3.0k
- Computational Theory and Mathematics 571
- Oncology 535
- Cell Biology 374
- Cancer Research 339
Countries citing papers authored by Kwang‐Hyun Cho
This map shows the geographic impact of Kwang‐Hyun Cho'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 Kwang‐Hyun Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwang‐Hyun Cho more than expected).
Fields of papers citing papers by Kwang‐Hyun Cho
This network shows the impact of papers produced by Kwang‐Hyun Cho. 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 Kwang‐Hyun Cho. The network helps show where Kwang‐Hyun Cho may publish in the future.
Co-authorship network of co-authors of Kwang‐Hyun Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Kwang‐Hyun Cho. A scholar is included among the top collaborators of Kwang‐Hyun Cho 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 Kwang‐Hyun Cho. Kwang‐Hyun Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 56 | |
| 7 | 20 | |
| 8 | 0 | |
| 9 | 121 | |
| 10 | 48 | |
| 11 | Surgical Treatment of Congenital Cystic Lung Disease | 0 |
| 12 | A Case of Cutaneous T Cell Lymphoma Presenting as Papuloerythroderma of Ofuji | 1 |
| 13 | Association Rule of Gyeongnam Social Indicator Survey Data for Environmental Information | 0 |
| 14 | Multimedia IP Design in SystemC Design Environment Adopting High-level Code Optimization | 1 |
| 15 | Squamous cell carcinoma of the finger and toe | 0 |
| 16 | Two Case of Prurigo Pigmentosa: A Histopathologic Analysis | 1 |
| 17 | Histologic Changes in the Skin with Photoaging | 1 |
| 18 | A Case of Subcutaneous Panniculitic T-cell Lymphoma Involved in Skin and Central Nervous System | 1 |
| 19 | Simulation Study of the TNF alpha Mediated NF-kappa B Signaling Pathway | 1 |
| 20 | A Statistical Study of Cutaneous Malignant Tumors (1996 ${\sim}$ 2000) | 0 |
About Kwang‐Hyun Cho
Kwang‐Hyun Cho is a scholar working on Computational Theory and Mathematics, Biophysics and Modeling and Simulation, having authored 252 papers that have together received 4.9k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (89 papers), Bioinformatics and Genomic Networks (54 papers) and Petri Nets in System Modeling (25 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Biophysics (213 citations) and Computational Theory and Mathematics (571 citations). Kwang‐Hyun Cho has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Yung‐Keun Kwon, Olaf Wolkenhauer, Sung‐Young Shin, Jeong‐Rae Kim, Walter Kölch, Dongsan Kim, Sang‐Mok Choo, Junil Kim, Dongkwan Shin and Sang‐Min Park. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Advanced Materials.
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.