Hyeon S. Son
- Molecular Biology
- Epidemiology
- Spectroscopy top 10%
- Atomic and Molecular Physics, and Optics
- Materials Chemistry
- Co-authors
- Mark S.P. SansomIan D. KerrInsung AhnGraham R. SmithJ. BreedPhilip C. BigginRamasubbu SankararamakrishnanHayeon Kim
- Topics
- RNA and protein synthesis mechanisms (13 papers)Influenza Virus Research Studies (11 papers)Lipid Membrane Structure and Behavior (8 papers)
- Journals
- The Journal of Chemical PhysicsSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Hyeon S. Son
51 papers receiving 601 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 395
- Epidemiology 94
- Spectroscopy 78
- Atomic and Molecular Physics, and Optics 69
- Materials Chemistry 68
Countries citing papers authored by Hyeon S. Son
This map shows the geographic impact of Hyeon S. Son'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 Hyeon S. Son with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyeon S. Son more than expected).
Fields of papers citing papers by Hyeon S. Son
This network shows the impact of papers produced by Hyeon S. Son. 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 Hyeon S. Son. The network helps show where Hyeon S. Son may publish in the future.
Co-authorship network of co-authors of Hyeon S. Son
This figure shows the co-authorship network connecting the top 25 collaborators of Hyeon S. Son. A scholar is included among the top collaborators of Hyeon S. Son 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 Hyeon S. Son. Hyeon S. Son is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | Data-processing pipeline and database design for integrated analysis of mycoviruses | 1 |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 12 | |
| 9 | A Visualization Tool for Calculating the Genetic Substitution Patterns Between Two Different Groups | 1 |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 9 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 6 | |
| 19 | 124 | |
| 20 | Functional properties of modified low density lipoprotein and degradation of modified LDL by human monocyte-macrophages | 0 |
About Hyeon S. Son
Hyeon S. Son is a scholar working on Endocrinology, Molecular Biology and Infectious Diseases, having authored 53 papers that have together received 617 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (13 papers), Influenza Virus Research Studies (11 papers) and Lipid Membrane Structure and Behavior (8 papers). The work is most often cited by research in Molecular Biology (395 citations), Spectroscopy (78 citations) and Microbiology (19 citations). Hyeon S. Son has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Mark S.P. Sansom, Ian D. Kerr, Insung Ahn, Graham R. Smith, J. Breed, Philip C. Biggin, Ramasubbu Sankararamakrishnan, Hayeon Kim, Kwang S. Kim and Youngmee Bae. Their work appears in journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Bioinformatics.
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.