You Young Song
- Electrical and Electronic Engineering top 10%
- Mechanical Engineering
- Immunology
- Automotive Engineering top 5%
- Electronic, Optical and Magnetic Materials
- Co-authors
- Seung-Woo SeoKyoungmin MinEunseog ChoHyo Sug LeeEttore AppellaHiroya KobayashiEsteban CelisH. K. D. H. Bhadeshia
- Topics
- Machine Learning in Materials Science (2 papers)Advanced Battery Materials and Technologies (2 papers)Computational Drug Discovery Methods (2 papers)
- Journals
- Journal of Power SourcesAntimicrobial Agents and ChemotherapyPhysical Chemistry Chemical Physics
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
You Young Song
13 papers receiving 694 citations
Peers
Comparison fields: 5 of 80
- Electrical and Electronic Engineering 337
- Mechanical Engineering 158
- Immunology 152
- Automotive Engineering 127
- Electronic, Optical and Magnetic Materials 122
Countries citing papers authored by You Young Song
This map shows the geographic impact of You Young 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 You Young Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites You Young Song more than expected).
Fields of papers citing papers by You Young Song
This network shows the impact of papers produced by You Young 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 You Young Song. The network helps show where You Young Song may publish in the future.
Co-authorship network of co-authors of You Young Song
This figure shows the co-authorship network connecting the top 25 collaborators of You Young Song. A scholar is included among the top collaborators of You Young 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 You Young Song. You Young 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 | 7 | |
| 2 | 36 | |
| 3 | 139 | |
| 4 | 203 | |
| 5 | 25 | |
| 6 | 38 | |
| 7 | 39 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | Defining promiscuous MHC class II helper T-cell epitopes for the HER2/neu tumor antigen. | 121 |
| 12 | A wild-type sequence p53 peptide presented by HLA-A24 induces cytotoxic T lymphocytes that recognize squamous cell carcinomas of the head and neck. | 45 |
| 13 | 39 |
About You Young Song
You Young Song is a scholar working on Metals and Alloys, Virology and Immunology, having authored 13 papers that have together received 710 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (2 papers), Advanced Battery Materials and Technologies (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Automotive Engineering (127 citations), Immunology (152 citations) and Electronic, Optical and Magnetic Materials (122 citations). You Young Song has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Seung-Woo Seo, Kyoungmin Min, Eunseog Cho, Hyo Sug Lee, Ettore Appella, Hiroya Kobayashi, Esteban Celis, H. K. D. H. Bhadeshia, Dong‐Woo Suh and Jaikwang Shin. Their work appears in journals such as Journal of Power Sources, Antimicrobial Agents and Chemotherapy and Physical Chemistry Chemical Physics.
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.