Soyoung Son
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
Papers in
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- Nanoparticle-Based Drug Delivery 9
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- Nanoplatforms for cancer theranostics 13
- Co-authors
- Jae Hyung Park (23 shared papers)Hyewon Ko (17 shared papers)Thavasyappan Thambi (5 shared papers)Hwa Seung Han (6 shared papers)Dong‐Gyu Jo (5 shared papers)Doo Sung Lee (3 shared papers)Sol Shin (13 shared papers)Kwangmeyung Kim (2 shared papers)
- Journals
- Biomaterials (5 papers)Acta Biomaterialia (3 papers)International Journal of Biological Macromolecules (2 papers)Signal Transduction and Targeted Therapy (1 paper)Advanced Science (1 paper)
- Partner nations
- South KoreaUnited StatesVietnam
In The Last Decade
Soyoung Son
23 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 85
- Biomaterials 585
- Pharmaceutical Science 117
- Molecular Medicine 73
- Biomedical Engineering 638
- Cancer Research 173
Countries citing papers authored by Soyoung Son
This map shows the geographic impact of Soyoung 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 Soyoung Son with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soyoung Son more than expected).
Fields of papers citing papers by Soyoung Son
This network shows the impact of papers produced by Soyoung 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 Soyoung Son. The network helps show where Soyoung Son may publish in the future.
Co-authors
The 25 scholars most cited alongside Soyoung Son, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 324 | |
| 2 | 2015 | 120 | |
| 3 | 2015 | 88 | |
| 4 | 2015 | 86 | |
| 5 | 2013 | 82 | |
| 6 | 2021 | 70 | |
| 7 | 2017 | 65 | |
| 8 | 2017 | 64 | |
| 9 | 2022 | 62 | |
| 10 | 2023 | 61 | |
| 11 | 2021 | 55 | |
| 12 | 2019 | 45 | |
| 13 | 2021 | 29 | |
| 14 | 2016 | 27 | |
| 15 | 2018 | 26 | |
| 16 | 2016 | 22 | |
| 17 | 2015 | 22 | |
| 18 | 2024 | 15 | |
| 19 | 2022 | 11 | |
| 20 | 2024 | 6 |
About Soyoung Son
Soyoung Son is a scholar working on Biomaterials, Biomedical Engineering, Immunology, Cancer Research and Molecular Biology, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (13 papers), Nanoparticle-Based Drug Delivery (9 papers), Extracellular vesicles in disease (8 papers), Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), RNA Interference and Gene Delivery (3 papers), Advancements in Transdermal Drug Delivery (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Biomaterials (585 citations), Pharmaceutical Science (117 citations), Molecular Medicine (73 citations), Biomedical Engineering (638 citations) and Cancer Research (173 citations). Soyoung Son has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Jae Hyung Park, Hyewon Ko, Thavasyappan Thambi, Hwa Seung Han, Dong‐Gyu Jo, Doo Sung Lee, Sol Shin, Kwangmeyung Kim, Ick Chan Kwon and Hong Yeol Yoon. Their work appears in journals such as Biomaterials, Acta Biomaterialia, International Journal of Biological Macromolecules, Signal Transduction and Targeted Therapy and Advanced Science.
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.