Un‐Beom Kang

824 total citations
23 papers, 603 citations indexed

About

Un‐Beom Kang is a scholar working on Molecular Biology, Spectroscopy and Cancer Research. According to data from OpenAlex, Un‐Beom Kang has authored 23 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Spectroscopy and 6 papers in Cancer Research. Recurrent topics in Un‐Beom Kang's work include Advanced Proteomics Techniques and Applications (12 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Un‐Beom Kang is often cited by papers focused on Advanced Proteomics Techniques and Applications (12 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Un‐Beom Kang collaborates with scholars based in South Korea, United States and Ethiopia. Un‐Beom Kang's co-authors include Cheolju Lee, Jarrod A. Marto, Myeong‐Hee Yu, Hoguen Kim, Jeonghun Yeom, Joon Kim, Dong‐Young Noh, Stephen Buratowski, Hyunsuk Suh and Yujin Chun and has published in prestigious journals such as Journal of Clinical Oncology, The EMBO Journal and Molecular Cell.

In The Last Decade

Un‐Beom Kang

23 papers receiving 588 citations

Peers

Un‐Beom Kang

SPECT

ONCOL

Susana Comte‐Walters United States

Paolo Cifani United States

Jennifer R. Bethard United States

Fiorella A. Solari Germany

Sue-Hwa Lin United States

Yaping Sun United States

Lisa J. Neilson United Kingdom

Yonglei Shang United States

Greg J. Pankhurst Australia

Michimoto Kobayashi Japan

Susana Comte‐Walters United States

Un‐Beom Kang

291 ×0.7

160 ×1.1

SPECT

38 ×0.4

34 ×0.5

ONCOL

36 ×0.5

Citations per year, relative to Un‐Beom Kang Un‐Beom Kang (= 1×) peers Susana Comte‐Walters

Countries citing papers authored by Un‐Beom Kang

Since Specialization

Citations

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

Fields of papers citing papers by Un‐Beom Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Un‐Beom Kang. 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 Un‐Beom Kang. The network helps show where Un‐Beom Kang may publish in the future.

Co-authorship network of co-authors of Un‐Beom Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Un‐Beom Kang. A scholar is included among the top collaborators of Un‐Beom Kang 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 Un‐Beom Kang. Un‐Beom Kang 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, Hyeonji, Hyosub Chu, Young‐Jae Cho, et al.. (2024). Development of a Fit-For-Purpose Multi-Marker Panel for Early Diagnosis of Pancreatic Ductal Adenocarcinoma. Molecular & Cellular Proteomics. 23(9). 100824–100824. 3 indexed citations

Chu, Hyosub, et al.. (2024). Comparative profiling by data-independent acquisition mass spectrometry reveals featured plasma proteins in breast cancer: a pilot study. Annals of Surgical Treatment and Research. 106(4). 195–195. 2 indexed citations

Kang, Youbin, Kyu‐Man Han, Woo‐Suk Tae, et al.. (2022). Association Between the C4 Binding Protein Level and White Matter Integrity in Major Depressive Disorder. Psychiatry Investigation. 19(9). 703–711. 2 indexed citations

Kang, Un‐Beom, et al.. (2019). A Validation Study of a Multiple Reaction Monitoring-Based Proteomic Assay to Diagnose Breast Cancer. Journal of Breast Cancer. 22(4). 579–579. 15 indexed citations

Kang, Un‐Beom, Han‐Byoel Lee, Hong Kyu Kim, et al.. (2019). Mastocheck: Notable plasma protein biomarker for diagnosis of breast cancer in the real clinical practice by using multiple reaction monitoring-based mass spectrometry.. Journal of Clinical Oncology. 37(15_suppl). 3044–3044. 1 indexed citations

Kang, Un‐Beom, et al.. (2017). Interrogating the hidden phosphoproteome. PROTEOMICS. 17(6). 7 indexed citations

Suh, Hyunsuk, Scott B. Ficarro, Un‐Beom Kang, et al.. (2016). Direct Analysis of Phosphorylation Sites on the Rpb1 C-Terminal Domain of RNA Polymerase II. Molecular Cell. 61(2). 297–304. 91 indexed citations

Kabir, Mohammad Humayun, Un‐Beom Kang, Jong Won Lee, et al.. (2012). Comparative profiling of plasma proteome from breast cancer patients reveals thrombospondin-1 and BRWD3 as serological biomarkers. Experimental & Molecular Medicine. 44(1). 36–36. 39 indexed citations

Kim, Hye Jung, Un‐Beom Kang, Hanna Lee, et al.. (2011). Profiling of differentially expressed proteins in stage IV Colorectal cancers with good and poor outcomes. Journal of Proteomics. 75(10). 2983–2997. 44 indexed citations

10.

Kang, Un‐Beom, Jeonghun Yeom, Hye Jung Kim, Hoguen Kim, & Cheolju Lee. (2011). Expression profiling of more than 3500 proteins of MSS-type colorectal cancer by stable isotope labeling and mass spectrometry. Journal of Proteomics. 75(10). 3050–3062. 24 indexed citations

11.

Joo, Yoo Jin, et al.. (2010). Gcn4p‐mediated transcriptional repression of ribosomal protein genes under amino‐acid starvation. The EMBO Journal. 30(5). 859–872. 38 indexed citations

12.

Lee, Sunho, Kunsoo Park, Eunok Paek, et al.. (2010). Improved Quantitative Analysis of Mass Spectrometry using Quadratic Equations. Journal of Proteome Research. 9(5). 2775–2785. 9 indexed citations

13.

Lee, Hanna, Nara Shin, Meiying Song, et al.. (2010). Analysis of Nuclear High Mobility Group Box 1 (HMGB1)-Binding Proteins in Colon Cancer Cells: Clustering with Proteins Involved in Secretion and Extranuclear Function. Journal of Proteome Research. 9(9). 4661–4670. 43 indexed citations

14.

Ahn, Younghee, Un‐Beom Kang, Joon Kim, & Cheolju Lee. (2009). Mining of Serum Glycoproteins by an Indirect Approach Using Cell Line Secretome. Molecules and Cells. 29(2). 123–130. 8 indexed citations

15.

Kim, Taeoh, Sang Jin Kim, Kyunggon Kim, et al.. (2007). Profiling of vitreous proteomes from proliferative diabetic retinopathy and nondiabetic patients. PROTEOMICS. 7(22). 4203–4215. 77 indexed citations

16.

Chang, Jong Wook, Un‐Beom Kang, Dong‐Hyun Kim, et al.. (2007). Identification of circulating endorepellin LG3 fragment: Potential use as a serological biomarker for breast cancer. PROTEOMICS - CLINICAL APPLICATIONS. 2(1). 23–32. 64 indexed citations

17.

Baek, Je‐Hyun, Hana Im, Un‐Beom Kang, et al.. (2007). Probing the local conformational change of α₁‐antitrypsin. Protein Science. 16(9). 1842–1850. 18 indexed citations

18.

Ryu, Myung‐Jeom, Daesoo Kim, Un‐Beom Kang, et al.. (2007). Proteomic analysis of γ‐butyrolactone‐treated mouse thalamus reveals dysregulated proteins upon absence seizure. Journal of Neurochemistry. 102(3). 646–656. 18 indexed citations

19.

Kim, Yong‐Hak, Un‐Beom Kang, Kyoko Konishi, & Cheolju Lee. (2006). Rhodococcus sp. strain TM1 plays a synergistic role in the degradation of piperidine by Mycobacterium sp. strain THO100. Archives of Microbiology. 186(3). 183–193. 1 indexed citations

20.

Kang, Un‐Beom, et al.. (2004). Kinetic mechanism of protease inhibition by α1-antitrypsin. Biochemical and Biophysical Research Communications. 323(2). 409–415. 14 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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