Sungmun Lee

2.6k total citations
69 papers, 2.0k citations indexed

About

Sungmun Lee is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Sungmun Lee has authored 69 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Biomedical Engineering and 13 papers in Materials Chemistry. Recurrent topics in Sungmun Lee's work include Alzheimer's disease research and treatments (8 papers), Protein Structure and Dynamics (6 papers) and Computational Drug Discovery Methods (6 papers). Sungmun Lee is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Protein Structure and Dynamics (6 papers) and Computational Drug Discovery Methods (6 papers). Sungmun Lee collaborates with scholars based in United Arab Emirates, United States and South Korea. Sungmun Lee's co-authors include Niren Murthy, W. Robert Taylor, Aya Shanti, Theresa A. Good, Sarah Knight, Nick J. Willett, Kousik Kundu, Ahsan H. Khandoker, Kinda Khalaf and Herbert F. Jelinek and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Sungmun Lee

66 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sungmun Lee United Arab Emirates 26 677 476 332 325 307 69 2.0k
Yonglan Liu United States 29 914 1.4× 708 1.5× 505 1.5× 254 0.8× 367 1.2× 82 2.7k
Zhen Zheng China 27 1.1k 1.7× 482 1.0× 218 0.7× 363 1.1× 270 0.9× 65 2.5k
Kewal K. Jain Switzerland 29 1.2k 1.7× 827 1.7× 224 0.7× 366 1.1× 548 1.8× 86 3.4k
Valeria Vetri Italy 28 1.2k 1.8× 343 0.7× 588 1.8× 360 1.1× 389 1.3× 81 2.4k
Ailing Fu China 29 1.3k 1.9× 372 0.8× 240 0.7× 449 1.4× 269 0.9× 66 2.6k
Yanan Liu China 30 1.2k 1.8× 249 0.5× 315 0.9× 376 1.2× 125 0.4× 131 2.8k
Do Young Yoon South Korea 40 1.1k 1.7× 504 1.1× 240 0.7× 883 2.7× 350 1.1× 128 4.6k
Siyu He China 31 1.1k 1.7× 414 0.9× 231 0.7× 343 1.1× 389 1.3× 106 3.1k
Qianqian Li China 29 1.3k 1.9× 1.1k 2.2× 233 0.7× 584 1.8× 419 1.4× 118 3.0k

Countries citing papers authored by Sungmun Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sungmun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sungmun Lee. A scholar is included among the top collaborators of Sungmun 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 Sungmun Lee. Sungmun Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
An, Boo Hyun, et al.. (2025). Physics Informed Neural Networks for Modeling Large-Scale Wind Driven Ocean Circulation. IEEE Access. 13. 18773–18797.
3.
Lee, Sungmun. (2025). Influence of pH on the cytotoxic activity of organic acids against breast cancer cells. Bioorganic & Medicinal Chemistry. 129. 118330–118330.
4.
Chan, V. S., Tiejun Zhang, Maguy Abi Jaoudé, et al.. (2025). Hydrogel-based microneedles for the delivery of catalase protein. International Journal of Pharmaceutics. 673. 125387–125387. 4 indexed citations
6.
Luo, Shaohong, Ning Cai, Kin Liao, et al.. (2023). Emergence of MXene-based electrochemical biosensors for biomolecule and pathogen detection. Sensors and Actuators Reports. 6. 100175–100175. 12 indexed citations
7.
Lee, Sungmun, et al.. (2023). Structural polymorphism and cytotoxicity of brain‐derived β‐amyloid extracts. Protein Science. 32(5). e4639–e4639. 14 indexed citations
8.
Yoon, Sang-Young, Andreas Schiffer, In Gwun Jang, et al.. (2023). Solitary wave-based site-specific bone quality assessment: A numerical study of the proximal femur. International Journal of Non-Linear Mechanics. 155. 104458–104458. 2 indexed citations
9.
Salih, Ahmed E., Fahad Alam, Aya Shanti, et al.. (2023). Fabrication of 3D‐Printed Contact Lenses and Their Potential as Color Blindness Ocular Aids. Macromolecular Materials and Engineering. 308(5). 13 indexed citations
10.
Yoon, Sang-Young, Andreas Schiffer, In Gwun Jang, et al.. (2022). Detection of defects in cellular solids using highly nonlinear solitary waves: a numerical study of the proximal femur. Biomechanics and Modeling in Mechanobiology. 22(2). 561–574. 5 indexed citations
11.
Alam, Fahad, Mohamed Elsherif, Bader AlQattan, et al.. (2021). 3D Printed Contact Lenses. ACS Biomaterials Science & Engineering. 7(2). 794–803. 65 indexed citations
12.
Salih, Ahmed E., Aya Shanti, Mohamed Elsherif, et al.. (2021). Silver Nanoparticle‐Loaded Contact Lenses for Blue‐Yellow Color Vision Deficiency. physica status solidi (a). 219(1). 31 indexed citations
13.
Yoon, Sang-Young, Andreas Schiffer, In Gwun Jang, Sungmun Lee, & Tae‐Yeon Kim. (2021). Predictions of the elastic modulus of trabecular bone in the femoral head and the intertrochanter: a solitary wave-based approach. Biomechanics and Modeling in Mechanobiology. 20(5). 1733–1749. 13 indexed citations
14.
Lee, Sungmun, et al.. (2020). Aggregation and Cellular Toxicity of Pathogenic or Non-pathogenic Proteins. Scientific Reports. 10(1). 5120–5120. 46 indexed citations
15.
Kim, Tae‐Yeon, Wen Jiang, Sungmun Lee, et al.. (2019). A Nitsche-type variational formulation for the shape deformation of a single component vesicle. Computer Methods in Applied Mechanics and Engineering. 359. 112661–112661. 2 indexed citations
16.
Khalaf, Kinda, Haitham M. Al-Angari, Ahsan H. Khandoker, et al.. (2017). Gait alterations in the UAE population with and without diabetic complications using both traditional and entropy measures. Gait & Posture. 58. 72–77. 12 indexed citations
17.
Al-Angari, Haitham M., Ahsan H. Khandoker, Sungmun Lee, et al.. (2016). Novel dynamic peak and distribution plantar pressure measures on diabetic patients during walking. Gait & Posture. 51. 261–267. 21 indexed citations
18.
Lukman, Suryani, Habiba Al Safar, Sungmun Lee, & Kelvin Sim. (2015). Harnessing Structural Data of Insulin and Insulin Receptor for Therapeutic Designs. Journal of Endocrinology and Metabolism. 5(5). 273–283. 8 indexed citations
19.
Bang, Minji, Byung Sun Kim, Sungmun Lee, et al.. (2014). Intracellular Gold Nanoparticles Increase Neuronal Excitability and Aggravate Seizure Activity in the Mouse Brain. PLoS ONE. 9(3). e91360–e91360. 44 indexed citations
20.
Wei, Qi, Aming Zhang, Dhara A. Patel, et al.. (2008). Simultaneous monitoring of peptide aggregate distributions, structure, and kinetics using amide hydrogen exchange: Application to Aβ(1‐40) fibrillogenesis. Biotechnology and Bioengineering. 100(6). 1214–1227. 29 indexed citations

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.

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