Dongseon Lee
- Materials Chemistry top 10%
- Molecular Biology
- Biomaterials top 5%
- Organic Chemistry top 10%
- Computational Theory and Mathematics top 2%
- Co-authors
- Chaok SeokYoun-Suk ChoiYoungchun KwonSeokho KangMyongsoo LeeMotonori BannoZhegang HuangEiji Yashima
- Topics
- Computational Drug Discovery Methods (10 papers)Machine Learning in Materials Science (7 papers)Protein Structure and Dynamics (4 papers)
- Partner nations
- South KoreaChinaJapan
In The Last Decade
Dongseon Lee
18 papers receiving 877 citations
Peers
Comparison fields: 5 of 89
- Materials Chemistry 481
- Molecular Biology 319
- Biomaterials 289
- Organic Chemistry 272
- Computational Theory and Mathematics 239
Countries citing papers authored by Dongseon Lee
This map shows the geographic impact of Dongseon 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 Dongseon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongseon Lee more than expected).
Fields of papers citing papers by Dongseon Lee
This network shows the impact of papers produced by Dongseon 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 Dongseon Lee. The network helps show where Dongseon Lee may publish in the future.
Co-authorship network of co-authors of Dongseon Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Dongseon Lee. A scholar is included among the top collaborators of Dongseon Lee 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 Dongseon Lee. Dongseon Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 17 | |
| 3 | 18 | |
| 4 | 43 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 26 | |
| 9 | 46 | |
| 10 | 23 | |
| 11 | 47 | |
| 12 | 11 | |
| 13 | 116 | |
| 14 | 2 | |
| 15 | 41 | |
| 16 | 58 | |
| 17 | 21 | |
| 18 | 291 | |
| 19 | 76 |
About Dongseon Lee
Dongseon Lee is a scholar working on Computational Theory and Mathematics, Spectroscopy and Materials Chemistry, having authored 19 papers that have together received 893 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Machine Learning in Materials Science (7 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Biomaterials (289 citations), Computational Theory and Mathematics (239 citations) and Materials Chemistry (481 citations). Dongseon Lee has collaborated with scholars based in South Korea, China and Japan. Frequent co-authors include Chaok Seok, Youn-Suk Choi, Youngchun Kwon, Seokho Kang, Myongsoo Lee, Motonori Banno, Zhegang Huang, Eiji Yashima, Tomoko Yamaguchi and Won‐Joon Son. Their work appears in journals such as Science, Angewandte Chemie International Edition 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.