Hyoungjoo Lee

2.1k total citations
48 papers, 1.3k citations indexed

About

Hyoungjoo Lee is a scholar working on Molecular Biology, Spectroscopy and Artificial Intelligence. According to data from OpenAlex, Hyoungjoo Lee has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Spectroscopy and 7 papers in Artificial Intelligence. Recurrent topics in Hyoungjoo Lee's work include Advanced Proteomics Techniques and Applications (13 papers), Mass Spectrometry Techniques and Applications (10 papers) and Anomaly Detection Techniques and Applications (6 papers). Hyoungjoo Lee is often cited by papers focused on Advanced Proteomics Techniques and Applications (13 papers), Mass Spectrometry Techniques and Applications (10 papers) and Anomaly Detection Techniques and Applications (6 papers). Hyoungjoo Lee collaborates with scholars based in South Korea, United States and United Kingdom. Hyoungjoo Lee's co-authors include Sungzoon Cho, Pilsung Kang, Dongil Kim, Stephen Roberts, Sungjoo Lee, Byungun Yoon, Marian Stamp Dawkins, Sang Yun Cho, Young‐Ki Paik and Corri Waitt and has published in prestigious journals such as Nature Communications, Nature Immunology and PLoS ONE.

In The Last Decade

Hyoungjoo Lee

47 papers receiving 1.2k citations

Peers

Hyoungjoo Lee

SPECT

IME

Juan Antonio Ortega Spain

Gunnar W. Klau Germany

Halima Bensmail Qatar

Hao Yang China

Wen‐Chuan Lee Taiwan

Tsutomu Matsumoto Japan

Tobias Kötter Germany

Jing Xu China

Jayasree Sengupta India

Xing Pan China

Juan Antonio Ortega Spain

Hyoungjoo Lee

333 ×1.1

106 ×0.5

SPECT

28 ×0.1

IME

112 ×0.9

181 ×1.5

Citations per year, relative to Hyoungjoo Lee Hyoungjoo Lee (= 1×) peers Juan Antonio Ortega

Countries citing papers authored by Hyoungjoo Lee

Since Specialization

Citations

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

Fields of papers citing papers by Hyoungjoo Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyoungjoo Lee

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

All Works

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20 of 20 papers shown

Lövestam, Sofia, Lindsay Meyerdirk, Jacob A. McPhail, et al.. (2025). Seed structure and phosphorylation in the fuzzy coat impact tau seeding competency. Nature Communications. 16(1). 9240–9240.

Dahabieh, Michael S., Lisa M. DeCamp, Brandon M. Oswald, et al.. (2025). The prostacyclin receptor PTGIR is a NRF2-dependent regulator of CD8+ T cell exhaustion. Nature Immunology. 26(7). 1139–1151. 5 indexed citations

Vincent, Michael P., Abigail E. Ellis, Zachary Madaj, et al.. (2024). A diverse proteome is present and enzymatically active in metabolite extracts. Nature Communications. 15(1). 5796–5796. 5 indexed citations

Zhang, Chen, Zhifu Guo, Wennan Liu, et al.. (2023). PIMT is a novel and potent suppressor of endothelial activation. eLife. 12. 1 indexed citations

Song, Hailong, Chen Chen, Brian J. Kelley, et al.. (2022). Traumatic brain injury recapitulates developmental changes of axons. Progress in Neurobiology. 217. 102332–102332. 12 indexed citations

Che, Xiaoyu, Lucinda Bateman, Aaron M. Cheng, et al.. (2020). Plasma proteomic profiling suggests an association between antigen driven clonal B cell expansion and ME/CFS. PLoS ONE. 15(7). e0236148–e0236148. 34 indexed citations

Lee, Hyoungjoo, Paula I. González-Ericsson, Justin M. Balko, et al.. (2017). Quantitative Mass Spectrometry Analysis of PD-L1 Protein Expression, N-glycosylation and Expression Stoichiometry with PD-1 and PD-L2 in Human Melanoma. Molecular & Cellular Proteomics. 16(10). 1705–1717. 54 indexed citations

Lee, Hyoungjoo, Paula I. González-Ericsson, Justin M. Balko, et al.. (2017). Abstract LB-056: Quantitative mass spectrometry analysis of immune checkpoint protein expression and N-glycosylation in human melanoma. Cancer Research. 77(13_Supplement). LB–56. 1 indexed citations

Kim, Hye‐Jung, De Lin, Hyoungjoo Lee, Ming Li, & D.C. Liebler. (2015). Quantitative Profiling of Protein Tyrosine Kinases in Human Cancer Cell Lines by Multiplexed Parallel Reaction Monitoring Assays. Molecular & Cellular Proteomics. 15(2). 682–691. 39 indexed citations

10.

Lee, Hyoungjoo, Keun Na, Min‐Seok Kwon, et al.. (2011). A new versatile peptide‐based size exclusion chromatography platform for global profiling and quantitation of candidate biomarkers in hepatocellular carcinoma specimens. PROTEOMICS. 11(10). 1976–1984. 6 indexed citations

11.

Jeong, Seul‐Ki, et al.. (2010). Data management and functional annotation of the Korean reference plasma proteome. PROTEOMICS. 10(6). 1250–1255. 7 indexed citations

12.

Lee, Hyoungjoo & Sungzoon Cho. (2008). Retraining a Novelty Detector with Impostor Patterns for Keystroke Dynamics-based Authentication ⋆. 1 indexed citations

13.

Lee, Hyoungjoo, Min‐Seok Kwon, Eunyoung Lee, Sang Yun Cho, & Young‐Ki Paik. (2008). Establishment of a PF2D‐MS/MS platform for rapid profiling and semiquantitative analysis of membrane protein biomarkers. PROTEOMICS. 8(11). 2168–2177. 18 indexed citations

14.

Lee, Hyoungjoo, et al.. (2008). Application of a peptide‐based PF2D platform for quantitative proteomics in disease biomarker discovery. PROTEOMICS. 8(16). 3371–3381. 29 indexed citations

15.

Lee, Hyoungjoo, Sungzoon Cho, & Min‐Sup Shin. (2008). Supporting diagnosis of attention-deficit hyperactive disorder with novelty detection. Artificial Intelligence in Medicine. 42(3). 199–212. 14 indexed citations

16.

Kwon, Min‐Seok, et al.. (2008). IntelliMS: A platform to efficiently manage and visualize tandem mass spectral data. PROTEOMICS. 8(23-24). 4910–4913. 2 indexed citations

17.

Shin, Yu‐Kyong, Hyoungjoo Lee, Joonseok Lee, & Young‐Ki Paik. (2006). Proteomic analysis of mammalian basic proteins by liquid‐based two‐dimensional column chromatography. PROTEOMICS. 6(4). 1143–1150. 28 indexed citations

18.

Cho, Sang Yun, Eun Young Lee, Joonseok Lee, et al.. (2005). Efficient prefractionation of low‐abundance proteins in human plasma and construction of a two‐dimensional map. PROTEOMICS. 5(13). 3386–3396. 100 indexed citations

19.

Lim, Dae‐Seog, et al.. (2003). Separation and Characterization of Chlorophyll Degradation Products in Silkworm Using HPLC‐UV‐APCI‐MS. Journal of Liquid Chromatography & Related Technologies. 26(19). 3183–3197. 10 indexed citations

20.

Lee, Hyoungjoo, et al.. (2002). Analysis of Novelty Detection Properties of Autoassociative MLP. Journal of Korean Institute of Industrial Engineers. 28(2). 147–161. 2 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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