Saebom Lee

4.3k total citations · 1 hit paper
42 papers, 1.9k citations indexed

About

Saebom Lee is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Saebom Lee has authored 42 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Biomedical Engineering and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Saebom Lee's work include Parkinson's Disease Mechanisms and Treatments (7 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Microfluidic and Bio-sensing Technologies (4 papers). Saebom Lee is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (7 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Microfluidic and Bio-sensing Technologies (4 papers). Saebom Lee collaborates with scholars based in South Korea, United States and Japan. Saebom Lee's co-authors include Han Seok Ko, Valina L. Dawson, Ted M. Dawson, Seung‐Hwan Kwon, Senthilkumar S. Karuppagounder, Sangjune Kim, Tae‐In Kam, Gabsang Lee, Hojae Lee and Martin G. Pomper and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Saebom Lee

39 papers receiving 1.9k citations

Hit Papers

Transneuronal Propagation of Pathologic α-Synuclein from ... 2019 2026 2021 2023 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saebom Lee South Korea 16 899 529 517 455 355 42 1.9k
Eng King Tan Singapore 25 1.2k 1.3× 606 1.1× 361 0.7× 526 1.2× 370 1.0× 71 2.3k
Ulises Gómez‐Pinedo Spain 32 613 0.7× 1.0k 2.0× 359 0.7× 612 1.3× 689 1.9× 102 3.4k
Bin Jiao China 25 470 0.5× 893 1.7× 624 1.2× 239 0.5× 317 0.9× 112 2.0k
Giovanni Cirillo Italy 24 582 0.6× 349 0.7× 419 0.8× 671 1.5× 623 1.8× 71 2.1k
Anna E. King Australia 32 1.3k 1.5× 1.0k 1.9× 781 1.5× 651 1.4× 531 1.5× 125 3.2k
Frida Loría Spain 19 380 0.4× 422 0.8× 336 0.6× 595 1.3× 453 1.3× 28 1.9k
Roberta Balestrino Italy 15 1.1k 1.2× 302 0.6× 325 0.6× 379 0.8× 212 0.6× 31 1.6k
Guoxin Zhang China 24 686 0.8× 637 1.2× 399 0.8× 289 0.6× 319 0.9× 70 2.1k
Chengjie Mao China 25 848 0.9× 497 0.9× 330 0.6× 253 0.6× 327 0.9× 123 2.1k
Shuichi Chiba Japan 21 391 0.4× 492 0.9× 481 0.9× 346 0.8× 278 0.8× 75 2.1k

Countries citing papers authored by Saebom Lee

Since Specialization
Citations

This map shows the geographic impact of Saebom 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 Saebom Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saebom Lee more than expected).

Fields of papers citing papers by Saebom Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saebom 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 Saebom Lee. The network helps show where Saebom Lee may publish in the future.

Co-authorship network of co-authors of Saebom Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Saebom Lee. A scholar is included among the top collaborators of Saebom 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 Saebom Lee. Saebom 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.
Lee, Saebom, et al.. (2025). Soft multistable magnetic-responsive metamaterials. Science Advances. 11(29). eadu3749–eadu3749.
2.
Lee, Saebom, et al.. (2025). Efficient Data Augmentation Methods for Crop Disease Recognition in Sustainable Environmental Systems. Big Data and Cognitive Computing. 9(1). 8–8. 2 indexed citations
3.
Ryu, Hye Guk, Seung‐Hwan Kwon, Saebom Lee, et al.. (2024). Gba1 E326K renders motor and non-motor symptoms with pathological α-synuclein, tau and glial activation. Brain. 147(12). 4072–4083. 5 indexed citations
5.
Lee, Saebom, et al.. (2023). Rapid mixing achieved using Coriolis force and grooves in rotating microchannels. Chemical Engineering Science. 283. 119395–119395. 3 indexed citations
6.
Lee, Saebom, James O. Hardin, Sangwoo Shin, et al.. (2023). Diffusiophoresis-enhanced particle deposition for additive manufacturing. MRS Communications. 13(6). 1053–1062. 4 indexed citations
7.
Song, Ryungeun, Saebom Lee, Hao Yang, et al.. (2022). Characterization of silver nanoparticle inks toward stable roll-to-roll gravure printing. Flexible and Printed Electronics. 7(1). 14003–14003. 8 indexed citations
8.
Lee, Jihyeong, Saebom Lee, Ritesh Prakash, et al.. (2022). Enhancing Mixing Performance in a Rotating Disk Mixing Chamber: A Quantitative Investigation of the Effect of Euler and Coriolis Forces. Micromachines. 13(8). 1218–1218. 6 indexed citations
9.
Park, Jong Sung, Tae‐In Kam, Saebom Lee, et al.. (2021). Blocking microglial activation of reactive astrocytes is neuroprotective in models of Alzheimer’s disease. Acta Neuropathologica Communications. 9(1). 78–78. 134 indexed citations
10.
Song, Ryungeun, et al.. (2021). Particle dynamics in drying colloidal solution using discrete particle method. Flexible and Printed Electronics. 6(4). 44007–44007. 3 indexed citations
11.
Hwang, Hongik, Jiyeon Seo, Junghwa Hong, et al.. (2020). Cyclin Y, a novel actin-binding protein, regulates spine plasticity through the cofilin-actin pathway. Progress in Neurobiology. 198. 101915–101915. 4 indexed citations
12.
Kim, Sangjune, Seung‐Hwan Kwon, Tae‐In Kam, et al.. (2019). Transneuronal Propagation of Pathologic α-Synuclein from the Gut to the Brain Models Parkinson’s Disease. Neuron. 103(4). 627–641.e7. 961 indexed citations breakdown →
13.
Noh, Su-Jin, et al.. (2019). Dopamine D1 Receptor (D1R) Expression Is Controlled by a Transcriptional Repressor Complex Containing DISC1. Molecular Neurobiology. 56(10). 6725–6735. 5 indexed citations
14.
Yun, Seung Pil, Donghoon Kim, Sangjune Kim, et al.. (2018). α-Synuclein accumulation and GBA deficiency due to L444P GBA mutation contributes to MPTP-induced parkinsonism. Molecular Neurodegeneration. 13(1). 1–1. 105 indexed citations
15.
Brahmachari, Saurav, Senthilkumar S. Karuppagounder, Preston Ge, et al.. (2017). c-Abl and Parkinson’s Disease: Mechanisms and Therapeutic Potential. Journal of Parkinson s Disease. 7(4). 589–601. 70 indexed citations
16.
Lee, Saebom, et al.. (2015). Biotransformation of oleic acid into 10-ketostearic acid by recombinant Corynebacterium glutamicum-based biocatalyst. Biotechnology Letters. 37(5). 1101–1106. 9 indexed citations
17.
Jeong, Jae‐Hoon, Young‐Un Park, Dae‐Kyum Kim, et al.. (2013). Cdk5 Phosphorylates Dopamine D2 Receptor and Attenuates Downstream Signaling. PLoS ONE. 8(12). e84482–e84482. 24 indexed citations
18.
Jeong, Jae‐Hoon, Saebom Lee, Young-Un Park, et al.. (2013). Cyclin-dependent Kinase 5 (Cdk5) Regulates the Function of CLOCK Protein by Direct Phosphorylation. Journal of Biological Chemistry. 288(52). 36878–36889. 36 indexed citations
19.
Lee, Saebom, Jae‐Hoon Jeong, Young-Un Park, et al.. (2012). Valproate Alters Dopamine Signaling in Association with Induction of Par-4 Protein Expression. PLoS ONE. 7(9). e45618–e45618. 22 indexed citations
20.
Lee, Saebom, et al.. (2010). Depression research: where are we now?. Molecular Brain. 3(1). 8–8. 132 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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