Sungmun Lee
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Pharmaceutical Science top 5%
Papers in
-
- Protein Structure and Dynamics 6
- Advanced biosensing and bioanalysis techniques 4
- Co-authors
- Niren Murthy (8 shared papers)W. Robert Taylor (3 shared papers)Aya Shanti (12 shared papers)Theresa A. Good (4 shared papers)Sarah Knight (2 shared papers)Kousik Kundu (2 shared papers)Nick J. Willett (2 shared papers)Ahsan H. Khandoker (7 shared papers)
- Journals
- ACS Biomaterials Science & Engineering (3 papers)International Journal of Pharmaceutics (3 papers)Protein Science (3 papers)Scientific Reports (2 papers)Biomechanics and Modeling in Mechanobiology (2 papers)
- Partner nations
- United Arab EmiratesUnited StatesSouth Korea
In The Last Decade
Sungmun Lee
66 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 150
- Biomaterials 307
- Pharmaceutical Science 107
- Physiology 332
- Biophysics 71
- Molecular Medicine 60
Countries citing papers authored by Sungmun Lee
This map shows the geographic impact of Sungmun 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 Sungmun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungmun Lee more than expected).
Fields of papers citing papers by Sungmun Lee
This network shows the impact of papers produced by Sungmun 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 Sungmun Lee. The network helps show where Sungmun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Sungmun 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
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 303 | |
| 2 | 2006 | 105 | |
| 3 | 2007 | 94 | |
| 4 | 2017 | 90 | |
| 5 | 2021 | 72 | |
| 6 | 2021 | 70 | |
| 7 | 2021 | 65 | |
| 8 | 2005 | 65 | |
| 9 | 2015 | 64 | |
| 10 | 2016 | 54 | |
| 11 | 2009 | 53 | |
| 12 | 2007 | 51 | |
| 13 | 2013 | 47 | |
| 14 | 2020 | 46 | |
| 15 | 2010 | 46 | |
| 16 | 2014 | 44 | |
| 17 | 2018 | 42 | |
| 18 | 2012 | 40 | |
| 19 | 2015 | 40 | |
| 20 | 2006 | 37 |
About Sungmun Lee
Sungmun Lee is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Physiology and Computational Theory and Mathematics, having authored 69 papers that have together received 2.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), Advanced Drug Delivery Systems (4 papers), Neuroscience and Neural Engineering (3 papers), Nanoparticle-Based Drug Delivery (3 papers) and Ocular Surface and Contact Lens (3 papers). The work is most often cited by research in Biomaterials (307 citations), Pharmaceutical Science (107 citations), Physiology (332 citations), Biophysics (71 citations) and Molecular Medicine (60 citations). Sungmun Lee has collaborated with scholars based in United Arab Emirates, United States and South Korea. Frequent co-authors include Niren Murthy, W. Robert Taylor, Aya Shanti, Theresa A. Good, Sarah Knight, Kousik Kundu, Nick J. Willett, Ahsan H. Khandoker, Kinda Khalaf and Herbert F. Jelinek. Their work appears in journals such as ACS Biomaterials Science & Engineering, International Journal of Pharmaceutics, Protein Science, Scientific Reports and Biomechanics and Modeling in Mechanobiology.
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.