Song Yi Lee
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery 28
- Molecular Medicine top 2%
- Pharmaceutical Science top 2%
- Advanced Drug Delivery Systems 8
- Biomedical Engineering top 5%
- Nanoplatforms for cancer theranostics 23
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- Q Methodology Applications 9
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- RNA Interference and Gene Delivery 6
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- Education and Learning Interventions 5
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- Healthcare Education and Workforce Issues 5
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- Advanced Nanomaterials in Catalysis 4
- Co-authors
- Hyun‐Jong ChoDae‐Duk KimSungyun KimJunmin LeeDa In JeongJu-Hwan ParkChaeRim HwangJae‐Young Lee
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Song Yi Lee
93 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Biomaterials 774
- Molecular Medicine 186
- Pharmaceutical Science 176
- Biomedical Engineering 713
- Cancer Research 134
Countries citing papers authored by Song Yi Lee
This map shows the geographic impact of Song Yi Lee'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 Song Yi Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Yi Lee more than expected).
Fields of papers citing papers by Song Yi Lee
This network shows the impact of papers produced by Song Yi Lee. 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 Song Yi Lee. The network helps show where Song Yi Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Song Yi Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 23 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 12 | |
| 14 | 2020 | 29 | |
| 15 | 2019 | 11 | |
| 16 | 2018 | 2 | |
| 17 | 2018 | 1 | |
| 18 | The Study of General Education Curriculum Enrollment, Academic Competence, and Career Adapt-abilities of Incoming Freshmen majoring in Humanities and Social Sciences compared to those majoring in Science and Engineering | 2015 | 1 |
| 19 | Living as a ChoSun-jok Aunt in Korea : Hermeneutical Phenominological Analysis of the Life Experience of ChoSun-jok Female Domestic Worker | 2010 | 1 |
| 20 | Research Trend of Enneagram and a Meta Analysis Study on the Effects of Enneagram Programs | 2009 | 2 |
About Song Yi Lee
Song Yi Lee is a scholar working on Leadership and Management, Biomaterials and Pharmaceutical Science, having authored 104 papers that have together received 2.1k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (28 papers), Nanoplatforms for cancer theranostics (23 papers), Q Methodology Applications (9 papers), Advanced Drug Delivery Systems (8 papers), RNA Interference and Gene Delivery (6 papers), Education and Learning Interventions (5 papers), Healthcare Education and Workforce Issues (5 papers) and Advanced Nanomaterials in Catalysis (4 papers). The work is most often cited by research in Biomaterials (774 citations), Molecular Medicine (186 citations) and Pharmaceutical Science (176 citations). Song Yi Lee has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Hyun‐Jong Cho, Dae‐Duk Kim, Sungyun Kim, Junmin Lee, Da In Jeong, Ju-Hwan Park, ChaeRim Hwang, Jae‐Young Lee, Ji‐Hye Seo and Seung-Hak Ko. Their work appears in journals such as PLoS ONE, Advanced Functional Materials and Scientific Reports.
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.