Byeong‐Wook Song
- Molecular Biology top 10%
- Genetics top 2%
- Surgery top 10%
- Cancer Research top 5%
- Biomaterials top 5%
- Topics
- Mesenchymal stem cell research (21 papers)Electrospun Nanofibers in Biomedical Applications (14 papers)Tissue Engineering and Regenerative Medicine (13 papers)
- Cited by
- GeneticsCancer ResearchBiomaterials
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of the American College of Cardiology
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Byeong‐Wook Song
81 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 860
- Genetics 543
- Surgery 459
- Cancer Research 390
- Biomaterials 262
Countries citing papers authored by Byeong‐Wook Song
This map shows the geographic impact of Byeong‐Wook Song'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 Byeong‐Wook Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byeong‐Wook Song more than expected).
Fields of papers citing papers by Byeong‐Wook Song
This network shows the impact of papers produced by Byeong‐Wook Song. 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 Byeong‐Wook Song. The network helps show where Byeong‐Wook Song may publish in the future.
Co-authorship network of co-authors of Byeong‐Wook Song
This figure shows the co-authorship network connecting the top 25 collaborators of Byeong‐Wook Song. A scholar is included among the top collaborators of Byeong‐Wook Song 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 Byeong‐Wook Song. Byeong‐Wook Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 14 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 23 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 6 | |
| 10 | 9 | |
| 11 | 19 | |
| 12 | 11 | |
| 13 | 54 | |
| 14 | 94 | |
| 15 | 88 | |
| 16 | 16 | |
| 17 | 78 | |
| 18 | Differential expression of regucalcin (SMP30) and its function in hypoxic cardiomyocytes | 2 |
| 19 | Losartan inhibits proliferation and inflammation of vascular smooth muscle cells by modulation of uric acid transporter | 1 |
| 20 | Ketamine modulates calcium homeostasis in hypoxia-reoxygenated cardiomyocytes. | 1 |
About Byeong‐Wook Song
Byeong‐Wook Song is a scholar working on Genetics, Developmental Neuroscience and Biomaterials, having authored 81 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (21 papers), Electrospun Nanofibers in Biomedical Applications (14 papers) and Tissue Engineering and Regenerative Medicine (13 papers). The work is most often cited by research in Genetics (543 citations), Cancer Research (390 citations) and Biomaterials (262 citations). Byeong‐Wook Song has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Soyeon Lim, Woochul Chang, Heesang Song, Ki-Chul Hwang, Onju Ham, Yangsoo Jang, Min-Ji Cha, Min‐Ji Cha, Il‐Kwon Kim and Ki‐Chul Hwang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of the American College of Cardiology.
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.