Sang‐Won Lee

10.8k total citations
271 papers, 7.1k citations indexed

About

Sang‐Won Lee is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Sang‐Won Lee has authored 271 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Molecular Biology, 52 papers in Spectroscopy and 36 papers in Materials Chemistry. Recurrent topics in Sang‐Won Lee's work include Advanced Proteomics Techniques and Applications (41 papers), Mass Spectrometry Techniques and Applications (39 papers) and Metabolomics and Mass Spectrometry Studies (16 papers). Sang‐Won Lee is often cited by papers focused on Advanced Proteomics Techniques and Applications (41 papers), Mass Spectrometry Techniques and Applications (39 papers) and Metabolomics and Mass Spectrometry Studies (16 papers). Sang‐Won Lee collaborates with scholars based in South Korea, United States and Japan. Sang‐Won Lee's co-authors include J. L. Beauchamp, Chul Sung Kim, Sung‐Hoon Kim, Sang Gyu Park, Man-Ho Cho, Kyoungja Woo, Jae‐Pyoung Ahn, Sungmoon Choi, Hae-Weon Lee and Hyun Sik Kim and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Sang‐Won Lee

254 papers receiving 7.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang‐Won Lee South Korea 43 3.2k 1.1k 989 825 695 271 7.1k
Min‐Jung Kang South Korea 49 3.6k 1.1× 738 0.6× 1.8k 1.8× 848 1.0× 1.2k 1.8× 475 9.4k
Yu Zhang China 42 2.6k 0.8× 395 0.3× 1.5k 1.5× 2.2k 2.7× 1.0k 1.5× 290 7.0k
Fang Huang China 39 2.5k 0.8× 313 0.3× 1.4k 1.4× 473 0.6× 726 1.0× 205 5.0k
Hongyan Zhang China 48 3.6k 1.1× 835 0.7× 2.4k 2.4× 490 0.6× 2.3k 3.3× 390 9.4k
Hui Li China 37 1.7k 0.5× 1.3k 1.2× 2.4k 2.5× 308 0.4× 516 0.7× 242 6.4k
Kun Qian China 48 2.8k 0.9× 1.4k 1.2× 1.7k 1.7× 286 0.3× 2.0k 2.9× 270 7.0k
Kyung‐Mi Lee South Korea 56 2.9k 0.9× 747 0.7× 783 0.8× 311 0.4× 1.4k 2.0× 299 10.7k
Zhiwei Yang China 43 1.5k 0.5× 314 0.3× 1.3k 1.3× 519 0.6× 1.1k 1.6× 235 6.0k
Xing Zhang China 49 6.1k 1.9× 360 0.3× 1.5k 1.5× 696 0.8× 809 1.2× 357 9.6k
Guohui Li China 48 3.9k 1.2× 359 0.3× 2.8k 2.8× 349 0.4× 1.3k 1.9× 384 9.8k

Countries citing papers authored by Sang‐Won Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Won Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang‐Won Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Won Lee. A scholar is included among the top collaborators of Sang‐Won 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 Sang‐Won Lee. Sang‐Won 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.
2.
Kim, Jejung, Juyeong Hong, Sang‐Won Lee, et al.. (2024). Injectable 2D Material‐Based Sensor Array for Minimally Invasive Neural Implants. Advanced Materials. 36(32). e2400261–e2400261. 15 indexed citations
3.
Jo, Min Gi, Sang‐Won Lee, Woong-Sun Yoo, et al.. (2024). The autoimmune response induced by α-synuclein peptides drives neuronal cell death and glial cell activation. Journal of Autoimmunity. 147. 103256–103256. 4 indexed citations
4.
Kim, Suji, et al.. (2023). Revolutionizing hydrogen production with LSGM-based solid oxide electrolysis cells: An innovative approach by sonic spray. Electrochimica Acta. 463. 142751–142751. 10 indexed citations
5.
Ahn, Chang Ho, et al.. (2023). Serum steroid profile captures metabolic phenotypes in adults with classic congenital adrenal hyperplasia. The Journal of Steroid Biochemistry and Molecular Biology. 234. 106374–106374. 1 indexed citations
6.
Ahn, Chang Ho, et al.. (2023). Multiplexed Serum Steroid Profiling Reveals Metabolic Signatures of Subtypes in Congenital Adrenal Hyperplasia. Journal of the Endocrine Society. 8(1). bvad155–bvad155. 3 indexed citations
7.
8.
Kim, Sangyeon, et al.. (2023). Designing an XAI interface for BCI experts: A contextual design for pragmatic explanation interface based on domain knowledge in a specific context. International Journal of Human-Computer Studies. 174. 103009–103009. 13 indexed citations
9.
Lee, Sang‐Won, Jejung Kim, Kyungtae Kim, et al.. (2023). Hybrid graphene electrode for the diagnosis and treatment of epilepsy in free-moving animal models. NPG Asia Materials. 15(1). 23 indexed citations
10.
Chae, Sehyun, Su‐jin Kim, Young Do Koo, et al.. (2018). A mitochondrial proteome profile indicative of type 2 diabetes mellitus in skeletal muscles. Experimental & Molecular Medicine. 50(9). 1–14. 31 indexed citations
11.
Lee, Hangyeore, Jung Hwa Lee, Hokeun Kim, et al.. (2014). A fully automated dual-online multifunctional ultrahigh pressure liquid chromatography system for high-throughput proteomics analysis. Journal of Chromatography A. 1329. 83–89. 20 indexed citations
12.
Jeong, Jae Hoon, et al.. (2011). Shot-gun proteomic analysis of mitochondrial D-loopDNA bindingproteins: identification of mitochondrial histones. Molecular BioSystems. 7(5). 1523–1536. 56 indexed citations
13.
Hyung, Seok‐Won, Min Young Lee, Jong Moon Park, et al.. (2011). A Serum Protein Profile Predictive of the Resistance to Neoadjuvant Chemotherapy in Advanced Breast Cancers. Molecular & Cellular Proteomics. 10(10). M111.011023–M111.011023. 37 indexed citations
14.
Kim, Dae Hwan, et al.. (2010). 유아분변으로부터 분리한 Lactobacillus rhamonosus GG-4의 생균제적 특성. 생명과학회지. 20(12). 1882–1888.
15.
Son, Ilhong, et al.. (2009). Antioxidant Effects of Gagam-Jangwon-hwan(jiajianzhuangyuanwan) on Hydrogen Peroxide-Induced Oxidative Stress in PC 12 Cell Lines. 20(2). 19–29.
16.
Lee, Sang‐Won, et al.. (2007). Isolation and Cultural Characterization of Antibacterial Substance Producing Microbes. Korean Journal of Food Preservation. 14(2). 194–200.
17.
Lee, Sang‐Won, et al.. (2003). Cause of Enterohemorrhagic Escherichia coli Infection in Ulju County, Korea. Journal of Preventive Medicine and Public Health. 36(1). 77–84. 2 indexed citations
18.
Lee, Sang‐Won, et al.. (2001). Purification and Characterization of a Recombinant Pea Chloroplastic Fructose - 1 , 6 - bisphosphatase. Journal of Applied Biological Chemistry. 44(4). 167–172. 1 indexed citations
19.
Lee, Sang‐Won, et al.. (2000). Synthesis and Thermal Properties of Poly(cyclohexylene dimethylene terephthalate-co-butylene terephthalate). 8(6). 261–267. 4 indexed citations
20.
Lee, Sang‐Won, et al.. (1999). Methionine Analogue Probes Functionally Important Residues in Active Site of Methionyl-tRNA Synthetase. BMB Reports. 32(6). 547–553. 4 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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