Eunok Paek

2.0k total citations
48 papers, 1.1k citations indexed

About

Eunok Paek is a scholar working on Molecular Biology, Spectroscopy and Artificial Intelligence. According to data from OpenAlex, Eunok Paek has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 32 papers in Spectroscopy and 3 papers in Artificial Intelligence. Recurrent topics in Eunok Paek's work include Advanced Proteomics Techniques and Applications (31 papers), Mass Spectrometry Techniques and Applications (24 papers) and Metabolomics and Mass Spectrometry Studies (15 papers). Eunok Paek is often cited by papers focused on Advanced Proteomics Techniques and Applications (31 papers), Mass Spectrometry Techniques and Applications (24 papers) and Metabolomics and Mass Spectrometry Studies (15 papers). Eunok Paek collaborates with scholars based in South Korea, United States and Singapore. Eunok Paek's co-authors include Seungjin Na, Kong‐Joo Lee, Nuno Bandeira, Jaeho Jeong, Cheolju Lee, Heejin Park, Hyunwoo Kim, Youngmee Kim, Jaeho Jeong and Revati Wani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Eunok Paek

46 papers receiving 1.1k citations

Peers

Eunok Paek

SPECT

ONCOL

BIOCH

Markus Mueller Switzerland

John S. Garavelli United States

Jenny Forshed Sweden

Yang Cai China

Seungjin Na South Korea

Elena A. Ponomarenko Russia

Kuo‐Chen Chou United States

Hiroko Onozuka Japan

Javier L. Baylon United States

Markus Mueller Switzerland

Eunok Paek

951 ×1.1

729 ×1.5

SPECT

69 ×0.8

ONCOL

111 ×1.4

17 ×0.3

BIOCH

Citations per year, relative to Eunok Paek Eunok Paek (= 1×) peers Markus Mueller

Countries citing papers authored by Eunok Paek

Since Specialization

Citations

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

Fields of papers citing papers by Eunok Paek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunok Paek

This figure shows the co-authorship network connecting the top 25 collaborators of Eunok Paek. A scholar is included among the top collaborators of Eunok Paek 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 Eunok Paek. Eunok Paek 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

Kim, Minsuh, Kyung-Cho Cho, Dae Ho Kim, et al.. (2025). Assessing Long-Term Stored Tissues for Multi-Omics Data Quality and Proteogenomics Suitability. Journal of Proteome Research. 24(9). 4563–4574.

Paek, Eunok, et al.. (2024). pXg: Comprehensive Identification of Noncanonical MHC-I–Associated Peptides From De Novo Peptide Sequencing Using RNA-Seq Reads. Molecular & Cellular Proteomics. 23(4). 100743–100743. 3 indexed citations

Lee, Sangwon, Dong-Sung Lee, Eunok Paek, et al.. (2024). Hypoxia increases methylated histones to prevent histone clipping and heterochromatin redistribution during Raf -induced senescence. Nucleic Acids Research. 53(3). 2 indexed citations

Kim, Minsoo, InSuk Joung, Sung Jong Lee, et al.. (2023). DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy function. Bioinformatics. 39(12). 10 indexed citations

Li, Honglan, Seungjin Na, Kyu‐Baek Hwang, & Eunok Paek. (2022). TIDD: tool-independent and data-dependent machine learning for peptide identification. BMC Bioinformatics. 23(1). 109–109. 3 indexed citations

Na, Seungjin, et al.. (2020). Cataract-Associated New Mutants S175G/H181Q of βΒ2-Crystallin and P24S/S31G of γD-Crystallin Are Involved in Protein Aggregation by Structural Changes. International Journal of Molecular Sciences. 21(18). 6504–6504. 5 indexed citations

Na, Seungjin & Eunok Paek. (2020). Computational methods in mass spectrometry-based structural proteomics for studying protein structure, dynamics, and interactions. Computational and Structural Biotechnology Journal. 18. 1391–1402. 19 indexed citations

Na, Seungjin, Jae‐Jin Lee, Jong Wha J. Joo, Kong‐Joo Lee, & Eunok Paek. (2019). deMix: Decoding Deuterated Distributions from Heterogeneous Protein States via HDX-MS. Scientific Reports. 9(1). 3176–3176. 14 indexed citations

Yeom, Jeonghun, et al.. (2017). Comprehensive analysis of human protein N-termini enables assessment of various protein forms. Scientific Reports. 7(1). 6599–6599. 45 indexed citations

10.

Li, Honglan, et al.. (2016). Evaluating the effect of database inflation in proteogenomic search on sensitive and reliable peptide identification. BMC Genomics. 17(S13). 1031–1031. 30 indexed citations

11.

Na, Seungjin, Eunok Paek, Jong‐Soon Choi, et al.. (2015). Characterization of disulfide bonds by planned digestion and tandem mass spectrometry. Molecular BioSystems. 11(4). 1156–1164. 18 indexed citations

12.

Kim, Hyunwoo, et al.. (2015). HiXCorr: a portable high-speed XCorr engine for high-resolution tandem mass spectrometry. Bioinformatics. 31(24). 4026–4028. 2 indexed citations

13.

Kim, Kyutae, Seungjin Na, Jun Seok Kim, et al.. (2013). Reinvestigation of Aminoacyl-TRNA Synthetase Core Complex by Affinity Purification-Mass Spectrometry Reveals TARSL2 as a Potential Member of the Complex. PLoS ONE. 8(12). e81734–e81734. 18 indexed citations

14.

Hwang, Kyu‐Baek, et al.. (2010). Semantic Document-Retrieval Based on Markov Logic. Jeongbo gwahaghoe nonmunji. keompyuting ui silje. 16(6). 663–667.

15.

Denoncin, Katleen, Didier Vertommen, Eunok Paek, & Jean‐François Collet. (2010). The Protein-disulfide Isomerase DsbC Cooperates with SurA and DsbA in the Assembly of the Essential β-Barrel Protein LptD. Journal of Biological Chemistry. 285(38). 29425–29433. 47 indexed citations

16.

Jeong, Jaeho, Yongsik Jung, Seungjin Na, et al.. (2010). Novel Oxidative Modifications in Redox-Active Cysteine Residues. Molecular & Cellular Proteomics. 10(3). M110.000513–M110.000513. 72 indexed citations

17.

Joo, Jong Wha J., Seungjin Na, Je‐Hyun Baek, Cheolju Lee, & Eunok Paek. (2009). Target-Decoy with Mass Binning: A Simple and Effective Validation Method for Shotgun Proteomics Using High Resolution Mass Spectrometry. Journal of Proteome Research. 9(2). 1150–1156. 8 indexed citations

18.

Na, Seungjin, Jaeho Jeong, Heejin Park, Kong‐Joo Lee, & Eunok Paek. (2008). Unrestrictive Identification of Multiple Post-translational Modifications from Tandem Mass Spectrometry Using an Error-tolerant Algorithm Based on an Extended Sequence Tag Approach. Molecular & Cellular Proteomics. 7(12). 2452–2463. 43 indexed citations

19.

Park, Kunsoo, Sunho Lee, Eunok Paek, et al.. (2008). Isotopic Peak Intensity Ratio Based Algorithm for Determination of Isotopic Clusters and Monoisotopic Masses of Polypeptides from High-Resolution Mass Spectrometric Data. Analytical Chemistry. 80(19). 7294–7303. 28 indexed citations

20.

Paek, Eunok. (1990). A circumscriptive theory for causal and evidential support. National Conference on Artificial Intelligence. 545–549. 1 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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