Hokeun Kim

900 total citations
24 papers, 391 citations indexed

About

Hokeun Kim is a scholar working on Spectroscopy, Molecular Biology and Physiology. According to data from OpenAlex, Hokeun Kim has authored 24 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Spectroscopy, 16 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Hokeun Kim's work include Advanced Proteomics Techniques and Applications (18 papers), Mass Spectrometry Techniques and Applications (14 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Hokeun Kim is often cited by papers focused on Advanced Proteomics Techniques and Applications (18 papers), Mass Spectrometry Techniques and Applications (14 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Hokeun Kim collaborates with scholars based in South Korea, United States and Puerto Rico. Hokeun Kim's co-authors include Sang‐Won Lee, Hangyeore Lee, Dong‐Gi Mun, Daehee Hwang, Jingi Bae, Sehyun Chae, Seunghoon Back, Kyong Soo Park, Sung Hee Choi and Seok‐Won Hyung and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Progress in Neurobiology.

In The Last Decade

Hokeun Kim

22 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hokeun Kim South Korea 14 252 171 87 38 27 24 391
Jacob Rose United States 12 136 0.5× 43 0.3× 46 0.5× 36 0.9× 29 1.1× 28 259
Jingi Bae South Korea 11 110 0.4× 55 0.3× 46 0.5× 7 0.2× 15 0.6× 15 219
Lisa Staunton Ireland 12 247 1.0× 84 0.5× 109 1.3× 8 0.2× 24 0.9× 14 392
Daniela Salas Chile 11 253 1.0× 25 0.1× 37 0.4× 29 0.8× 12 0.4× 17 384
Christina D. King United States 10 159 0.6× 46 0.3× 219 2.5× 92 2.4× 10 0.4× 21 411
Diana Hildebrand Germany 11 221 0.9× 37 0.2× 93 1.1× 7 0.2× 18 0.7× 16 351
Rosalie Rietjens Netherlands 5 198 0.8× 45 0.3× 37 0.4× 11 0.3× 27 1.0× 12 346
Laura Pollard United States 12 240 1.0× 19 0.1× 137 1.6× 74 1.9× 10 0.4× 43 391
Aaron Ruhs Germany 6 209 0.8× 43 0.3× 83 1.0× 57 1.5× 13 0.5× 9 313
Ladislav Kuchař Czechia 11 192 0.8× 18 0.1× 182 2.1× 72 1.9× 24 0.9× 25 376

Countries citing papers authored by Hokeun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hokeun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hokeun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hokeun Kim. A scholar is included among the top collaborators of Hokeun Kim 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 Hokeun Kim. Hokeun Kim 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, Hokeun, et al.. (2024). Wideband PRM: Highly Accurate and Sensitive Method for High-Throughput Targeted Proteomics. Analytical Chemistry. 96(25). 10219–10227.
3.
Avtonomov, Dmitry M., Seunghoon Back, Hokeun Kim, et al.. (2023). Targeted proteomics data interpretation with DeepMRM. Cell Reports Methods. 3(7). 100521–100521. 4 indexed citations
4.
Jeong, Hyobin, Jingi Bae, Moonkyung Kang, et al.. (2022). Aβ-induced mitochondrial dysfunction in neural progenitors controls KDM5A to influence neuronal differentiation. Experimental & Molecular Medicine. 54(9). 1461–1471. 17 indexed citations
5.
Kim, Hokeun, et al.. (2022). Novel Online Three-Dimensional Separation Expands the Detectable Functional Landscape of Cellular Phosphoproteome. Analytical Chemistry. 94(35). 12185–12195. 2 indexed citations
6.
Hur, Junseok W., Min‐Sik Kim, Seyeon Oh, et al.. (2021). Label-Free Quantitative Proteome Profiling of Cerebrospinal Fluid from a Rat Stroke Model with Stem Cell Therapy. Cell Transplantation. 30. 4211081330–4211081330. 7 indexed citations
7.
Mun, Dong‐Gi, Santosh Renuse, Mayank Saraswat, et al.. (2020). PASS-DIA: A Data-Independent Acquisition Approach for Discovery Studies. Analytical Chemistry. 92(21). 14466–14475. 19 indexed citations
8.
Park, Jong‐Chan, Sun-Ho Han, Hangyeore Lee, et al.. (2019). Prognostic plasma protein panel for Aβ deposition in the brain in Alzheimer’s disease. Progress in Neurobiology. 183. 101690–101690. 23 indexed citations
9.
Mun, Dong‐Gi, et al.. (2019). Accurate Precursor Mass Assignment Improves Peptide Identification in Data-Independent Acquisition Mass Spectrometry. Analytical Chemistry. 91(13). 8453–8460. 7 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, Dong‐Gi Mun, Jingi Bae, et al.. (2016). Efficient Exploitation of Separation Space in Two-Dimensional Liquid Chromatography System for Comprehensive and Efficient Proteomic Analyses. Analytical Chemistry. 88(23). 11734–11741. 15 indexed citations
12.
Lee, Hangyeore, Sehyun Chae, Jingi Bae, et al.. (2016). Comprehensive Proteome Profiling of Platelet Identified a Protein Profile Predictive of Responses to An Antiplatelet Agent Sarpogrelate. Molecular & Cellular Proteomics. 15(11). 3461–3472. 20 indexed citations
13.
Madar, Inamul Hasan, Hokeun Kim, Dong‐Gi Mun, et al.. (2016). Multiplexed Post-Experimental Monoisotopic Mass Refinement (mPE-MMR) to Increase Sensitivity and Accuracy in Peptide Identifications from Tandem Mass Spectra of Cofragmentation. Analytical Chemistry. 89(2). 1244–1253. 14 indexed citations
14.
Park, Jong‐Moon, Ji-Hwan Park, Dong‐Gi Mun, et al.. (2015). Integrated analysis of global proteome, phosphoproteome and glycoproteome enables complementary interpretation of disease-related protein networks. Scientific Reports. 5(1). 18189–18189. 28 indexed citations
15.
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
16.
Madar, Inamul Hasan, Seunghoon Back, Hokeun Kim, et al.. (2014). Reduction of Ambiguity in Phosphorylation-site Localization in Large-scale Phosphopeptide Profiling by Data Filter using Unique Mass Class Information. Bulletin of the Korean Chemical Society. 35(3). 845–850. 2 indexed citations
17.
Li, Honglan, Kyu‐Baek Hwang, Dong‐Gi Mun, et al.. (2014). Estimating Influence of Cofragmentation on Peptide Quantification and Identification in iTRAQ Experiments by Simulating Multiplexed Spectra. Journal of Proteome Research. 13(7). 3488–3497. 13 indexed citations
18.
Park, Heejin, Hyunwoo Kim, Sangok Kim, et al.. (2014). Compact variant‐rich customized sequence database and a fast and sensitive database search for efficient proteogenomic analyses. PROTEOMICS. 14(23-24). 2742–2749. 22 indexed citations
19.
Baek, Je‐Hyun, et al.. (2009). Multiple Products Monitoring as a Robust Approach for Peptide Quantification. Journal of Proteome Research. 8(7). 3625–3632. 12 indexed citations
20.
Hyung, Seok‐Won, Hokeun Kim, Dongkyu Lee, et al.. (2008). Postexperiment Monoisotopic Mass Filtering and Refinement (PE-MMR) of Tandem Mass Spectrometric Data Increases Accuracy of Peptide Identification in LC/MS/MS. Molecular & Cellular Proteomics. 7(6). 1124–1134. 42 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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