Hyungwon Choi

13.7k total citations · 4 hit papers
125 papers, 6.7k citations indexed

About

Hyungwon Choi is a scholar working on Molecular Biology, Spectroscopy and Epidemiology. According to data from OpenAlex, Hyungwon Choi has authored 125 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 31 papers in Spectroscopy and 21 papers in Epidemiology. Recurrent topics in Hyungwon Choi's work include Metabolomics and Mass Spectrometry Studies (29 papers), Advanced Proteomics Techniques and Applications (27 papers) and Bioinformatics and Genomic Networks (18 papers). Hyungwon Choi is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (29 papers), Advanced Proteomics Techniques and Applications (27 papers) and Bioinformatics and Genomic Networks (18 papers). Hyungwon Choi collaborates with scholars based in Singapore, United States and Canada. Hyungwon Choi's co-authors include Alexey I. Nesvizhskii, Anne‐Claude Gingras, Brett Larsen, Damian Fermin, Guomin Liu, Zhen-Yuan Lin, Mike Tyers, Zhaohui Qin, Chih‐Chiang Tsou and Ashton Breitkreutz and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Hyungwon Choi

123 papers receiving 6.7k citations

Hit Papers

SAINT: probabilistic scoring of affinity purification–mas... 2010 2026 2015 2020 2010 2010 2015 2013 100 200 300 400 500

Peers

Hyungwon Choi
Manfredo Quadroni Switzerland
H. Alex Brown United States
Florian Reisinger United Kingdom
W. Hayes McDonald United States
Wenzhong Xiao United States
Eugene Kolker United States
John D. Aitchison United States
Hyungwon Choi
Citations per year, relative to Hyungwon Choi Hyungwon Choi (= 1×) peers Richard A. Scheltema

Countries citing papers authored by Hyungwon Choi

Since Specialization
Citations

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

Fields of papers citing papers by Hyungwon Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyungwon Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Hyungwon Choi. A scholar is included among the top collaborators of Hyungwon 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 Hyungwon Choi. Hyungwon 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.
Tham, Yih Chung, Simon Nusinovici, Ten Cheer Quek, et al.. (2025). A deep‐learning retinal aging biomarker for cognitive decline and incident dementia. Alzheimer s & Dementia. 21(3). e14601–e14601. 1 indexed citations
2.
Choi, Hyungwon, et al.. (2024). Sorption thermal battery with solar powered absorption chiller for various building cooling applications. Energy and Buildings. 317. 114373–114373. 9 indexed citations
3.
Choi, Hyungwon, et al.. (2023). Re-mining serum proteomics data reveals extensive post-translational modifications upon Zika and dengue infection. Molecular Omics. 19(4). 308–320. 1 indexed citations
4.
Choi, Hyungwon, et al.. (2023). HNF1A binds and regulates the expression of SLC51B to facilitate the uptake of estrone sulfate in human renal proximal tubule epithelial cells. Cell Death and Disease. 14(5). 302–302. 5 indexed citations
5.
Tsai, Irene, et al.. (2023). Solitary Metastasis to the Breast From Thigh Myxoid Liposarcoma. Cureus. 15(9). e45559–e45559. 1 indexed citations
6.
Wenk, Markus R. & Hyungwon Choi. (2022). Abundant circulating lipids — a new opportunity for NSCLC detection?. Nature Reviews Clinical Oncology. 19(6). 361–362. 3 indexed citations
7.
Li, Ginny Xiaohe, et al.. (2021). Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx. Briefings in Bioinformatics. 22(6). 2 indexed citations
8.
Choi, Hyungwon, et al.. (2021). multiSLIDE is a web server for exploring connected elements of biological pathways in multi-omics data. Nature Communications. 12(1). 2279–2279. 14 indexed citations
9.
Larrimore, Katherine E., et al.. (2021). Non‐genetic and genetic rewiring underlie adaptation to hypomorphic alleles of an essential gene. The EMBO Journal. 40(21). e107839–e107839. 4 indexed citations
10.
Narayanaswamy, Pradeep, Guoshou Teo, Jin Rong Ow, et al.. (2020). MetaboKit: a comprehensive data extraction tool for untargeted metabolomics. Molecular Omics. 16(5). 436–447. 14 indexed citations
11.
Ow, Jin Rong, Noémi Van Hul, Heike Wollmann, et al.. (2020). Loss of hepatocyte cell division leads to liver inflammation and fibrosis. PLoS Genetics. 16(11). e1009084–e1009084. 35 indexed citations
12.
Chew, Wee Siong, Federico Torta, Chin Meng Khoo, et al.. (2020). Plasma sphingolipids and risk of cardiovascular diseases: a large-scale lipidomic analysis. Metabolomics. 16(9). 89–89. 26 indexed citations
13.
Ow, Jin Rong, Matias J. Caldez, Juat Chin Foo, et al.. (2020). Remodeling of whole-body lipid metabolism and a diabetic-like phenotype caused by loss of CDK1 and hepatocyte division. eLife. 9. 19 indexed citations
14.
Li, Ginny Xiaohe, et al.. (2020). A protein‐centric approach for exome variant aggregation enables sensitive association analysis with clinical outcomes. Human Mutation. 41(5). 934–945. 1 indexed citations
15.
Jacob, Samson T., Jade Wang, Hiromi W.L. Koh, et al.. (2019). Polyubiquitin Chains Linked by Lysine Residue 48 (K48) Selectively Target Oxidized Proteins In Vivo. Antioxidants and Redox Signaling. 31(15). 1133–1149. 28 indexed citations
16.
Li, Ginny Xiaohe, Christine Vogel, & Hyungwon Choi. (2018). PTMscape: an open source tool to predict generic post-translational modifications and map modification crosstalk in protein domains and biological processes. Molecular Omics. 14(3). 197–209. 13 indexed citations
17.
Zheng, Dahai, Boon-Seng Soh, Lu Yin, et al.. (2017). Differentiation of Club Cells to Alveolar Epithelial Cells In Vitro. Nature. 15 indexed citations
18.
Cheng, Zhe, Guoshou Teo, Sabrina Krueger, et al.. (2016). Differential dynamics of the mammalian mRNA and protein expression response to misfolding stress. Molecular Systems Biology. 12(1). 855–855. 161 indexed citations
19.
Liu, Gaowen, Mei Yong, Marina Yurieva, et al.. (2015). Gene Essentiality Is a Quantitative Property Linked to Cellular Evolvability. Cell. 163(6). 1388–1399. 108 indexed citations
20.
Breitkreutz, Ashton, Hyungwon Choi, Jeffrey R. Sharom, et al.. (2010). A Global Protein Kinase and Phosphatase Interaction Network in Yeast. Science. 328(5981). 1043–1046. 512 indexed citations breakdown →

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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