Sunkyu Choi

682 total citations
23 papers, 483 citations indexed

About

Sunkyu Choi is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Sunkyu Choi has authored 23 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cell Biology and 7 papers in Physiology. Recurrent topics in Sunkyu Choi's work include Advanced Proteomics Techniques and Applications (5 papers), Adipose Tissue and Metabolism (5 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Sunkyu Choi is often cited by papers focused on Advanced Proteomics Techniques and Applications (5 papers), Adipose Tissue and Metabolism (5 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Sunkyu Choi collaborates with scholars based in South Korea, United States and Qatar. Sunkyu Choi's co-authors include Richard Klemke, Ján Strnádel, Ken Fujimura, Tracy Wright, H. Park, Sung Ho Ryu, Kyung Shik Lee, Do‐Hoon Kim, Sehyun Baek and Yang‐Hyun Kim and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Cancer Research.

In The Last Decade

Sunkyu Choi

22 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunkyu Choi South Korea 13 240 124 75 61 44 23 483
Jingrong Tang United States 14 274 1.1× 44 0.4× 43 0.6× 41 0.7× 30 0.7× 25 551
John M. Viola United States 6 318 1.3× 125 1.0× 33 0.4× 37 0.6× 148 3.4× 8 530
Rudolf Engelke Qatar 8 263 1.1× 85 0.7× 40 0.5× 36 0.6× 33 0.8× 15 438
Yangli Liu China 12 184 0.8× 81 0.7× 51 0.7× 39 0.6× 37 0.8× 33 434
Gaël Cobraiville Belgium 16 233 1.0× 42 0.3× 41 0.5× 49 0.8× 46 1.0× 38 613
Peter L. Voyvodic France 11 313 1.3× 27 0.2× 62 0.8× 13 0.2× 15 0.3× 13 523
Yuki Ashida Japan 13 210 0.9× 116 0.9× 31 0.4× 66 1.1× 49 1.1× 31 414
Furong Yan China 12 267 1.1× 109 0.9× 25 0.3× 26 0.4× 82 1.9× 29 454
Ching-Hsin Chang United States 12 117 0.5× 55 0.4× 12 0.2× 13 0.2× 65 1.5× 27 469

Countries citing papers authored by Sunkyu Choi

Since Specialization
Citations

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

Fields of papers citing papers by Sunkyu Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunkyu Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Sunkyu Choi. A scholar is included among the top collaborators of Sunkyu Choi 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 Sunkyu Choi. Sunkyu Choi 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.
Qadri, Shahnaz, Naveed Akhtar, Ghulam Jeelani Pir, et al.. (2024). Mass spectrometry-based proteomic profiling of extracellular vesicle proteins in diabetic and non-diabetic ischemic stroke patients: a case-control study. Frontiers in Molecular Biosciences. 11. 1387859–1387859. 2 indexed citations
2.
Zhu, Lianhui, Jie Jia, Yijing Wang, et al.. (2021). ACBD3 modulates KDEL receptor interaction with PKA for its trafficking via tubulovesicular carrier. BMC Biology. 19(1). 194–194. 10 indexed citations
3.
Choi, Sunkyu, Neha Goswami, & Frank Schmidt. (2020). Comparative Proteomic Profiling of 3T3-L1 Adipocyte Differentiation Using SILAC Quantification. Journal of Proteome Research. 19(12). 4884–4900. 8 indexed citations
4.
Choi, Sunkyu. (2020). Mass Spectrometry-Based Proteomic Profiling of Pseudopodia of Metastatic Cancer Cells. 11(2). 25–29. 1 indexed citations
5.
Graham, Morven, Xinran Liu, Lianhui Zhu, et al.. (2019). Golgin45-Syntaxin5 Interaction Contributes to Structural Integrity of the Golgi Stack. Scientific Reports. 9(1). 12465–12465. 12 indexed citations
6.
Choi, Sunkyu, Aditya Bhagwat, Neha Goswami, et al.. (2018). Proteomic profiling of human cancer pseudopodia for the identification of anti-metastatic drug candidates. Scientific Reports. 8(1). 5858–5858. 12 indexed citations
7.
Strnádel, Ján, Sang Myung Woo, Sunkyu Choi, et al.. (2018). 3D Culture Protocol for Testing Gene Knockdown Efficiency and Cell Line Derivation. BIO-PROTOCOL. 8(11). e2874–e2874. 3 indexed citations
8.
Strnádel, Ján, Sunkyu Choi, Ken Fujimura, et al.. (2017). eIF5A-PEAK1 Signaling Regulates YAP1/TAZ Protein Expression and Pancreatic Cancer Cell Growth. Cancer Research. 77(8). 1997–2007. 68 indexed citations
9.
10.
11.
Baek, Sehyun, Ga Eun Nam, Kyungdo Han, et al.. (2014). Sarcopenia and sarcopenic obesity and their association with dyslipidemia in Korean elderly men: the 2008–2010 Korea National Health and Nutrition Examination Survey. Journal of Endocrinological Investigation. 37(3). 247–260. 107 indexed citations
12.
Choi, Sunkyu, Jonathan A. Kelber, Xinning Jiang, et al.. (2013). Procedures for the biochemical enrichment and proteomic analysis of the cytoskeletome. Analytical Biochemistry. 446. 102–107. 12 indexed citations
13.
Klemke, Richard, Xinning Jiang, Sunkyu Choi, & Jonathan A. Kelber. (2013). Proteomic and Biochemical Methods to Study the Cytoskeletome. Methods in molecular biology. 1046. 203–218. 3 indexed citations
14.
Kim, Hyun Soo, Janet Lee, Jong Hyuk Yoon, et al.. (2013). Functional interplay between Aurora B kinase and Ssu72 phosphatase regulates sister chromatid cohesion. Nature Communications. 4(1). 2631–2631. 20 indexed citations
15.
Choi, Sunkyu, Heeyoon Jeong, Jin‐Hyeok Jang, et al.. (2012). Osmotic Stress Regulates Mammalian Target of Rapamycin (mTOR) Complex 1 via c-Jun N-terminal Kinase (JNK)-mediated Raptor Protein Phosphorylation. Journal of Biological Chemistry. 287(22). 18398–18407. 35 indexed citations
16.
Kim, Beom‐Jun, Young‐Sun Lee, Sun‐Young Lee, et al.. (2012). Afamin secreted from nonresorbing osteoclasts acts as a chemokine for preosteoblasts via the Akt-signaling pathway. Bone. 51(3). 431–440. 30 indexed citations
17.
Choi, Sunkyu, Jaeyoon Kim, Jaeyoon Kim, et al.. (2010). Targeted label-free quantitative analysis of secretory proteins from adipocytes in response to oxidative stress. Analytical Biochemistry. 401(2). 196–202. 18 indexed citations
18.
Choi, Sunkyu, Jaeyoon Kim, Kun Cho, et al.. (2010). Sequential Fe 3 O 4 /TiO 2 enrichment for phosphopeptide analysis by liquid chromatography/tandem mass spectrometry. Rapid Communications in Mass Spectrometry. 24(10). 1467–1474. 17 indexed citations
19.
Choi, Sunkyu, Kun Cho, Jaeyoon Kim, et al.. (2009). Comparative proteome analysis using amine-reactive isobaric tagging reagents coupled with 2D LC/MS/MS in 3T3-L1 adipocytes following hypoxia or normoxia. Biochemical and Biophysical Research Communications. 383(1). 135–140. 17 indexed citations
20.
Baek, Moon‐Chang, Sun‐Jin Kim, Kyungmoo Yea, et al.. (2006). Ligand profiling and identification technology for searching bioactive ligands. PROTEOMICS. 6(6). 1741–1749. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jingrong Tang Breakdown of academic impact, for papers by John M. Viola Breakdown of academic impact, for papers by Rudolf Engelke Breakdown of academic impact, for papers by Yangli Liu Breakdown of academic impact, for papers by Gaël Cobraiville Breakdown of academic impact, for papers by Peter L. Voyvodic Breakdown of academic impact, for papers by Yuki Ashida Breakdown of academic impact, for papers by Furong Yan Breakdown of academic impact, for papers by Ching-Hsin Chang
Rankless by CCL
2026