Hee June Choi

977 total citations
13 papers, 766 citations indexed

About

Hee June Choi is a scholar working on Molecular Biology, Biophysics and Oncology. According to data from OpenAlex, Hee June Choi has authored 13 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Biophysics and 3 papers in Oncology. Recurrent topics in Hee June Choi's work include Cancer-related gene regulation (5 papers), Cell Image Analysis Techniques (5 papers) and Peptidase Inhibition and Analysis (3 papers). Hee June Choi is often cited by papers focused on Cancer-related gene regulation (5 papers), Cell Image Analysis Techniques (5 papers) and Peptidase Inhibition and Analysis (3 papers). Hee June Choi collaborates with scholars based in United States, South Korea and Argentina. Hee June Choi's co-authors include Sung Hee Baek, Jung Hwa Kim, Chin Ha Chung, Keun Il Kim, Ji Min Lee, Jason S. Lee, Charlie Chen, Chris Tran, Michael G. Rosenfeld and David W. Rose and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Hee June Choi

13 papers receiving 755 citations

Peers

Hee June Choi

ONCOL

IMMUN

Aparna Jorapur United States

Boris Troyanovsky United States

Robert L. Judson‐Torres United States

Bálint Balázs Germany

Karen Yeow France

Tae Hyun Hwang United States

Marco Piva United States

Kuan Yan Netherlands

Per Oksvold Sweden

Stephen J. Lockett United States

Aparna Jorapur United States

Hee June Choi

222 ×0.4

245 ×1.7

ONCOL

98 ×0.8

62 ×0.9

122 ×1.9

IMMUN

Citations per year, relative to Hee June Choi Hee June Choi (= 1×) peers Aparna Jorapur

Countries citing papers authored by Hee June Choi

Since Specialization

Citations

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

Fields of papers citing papers by Hee June Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hee June Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Hee June Choi. A scholar is included among the top collaborators of Hee June 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 Hee June Choi. Hee June Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Wang, Chuangqi, et al.. (2024). Interpretable Fine‐Grained Phenotypes of Subcellular Dynamics via Unsupervised Deep Learning. Advanced Science. 11(41). e2403547–e2403547. 3 indexed citations

Wang, Chuangqi, et al.. (2022). Deep learning-based subcellular phenotyping of protrusion dynamics reveals fine differential drug responses at subcellular and single-cell levels. Biophysical Journal. 121(3). 529a–529a. 1 indexed citations

Wang, Chuangqi, et al.. (2021). A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopy. Cell Reports Methods. 1(7). 100105–100105. 24 indexed citations

Choi, Hee June, et al.. (2021). Emerging machine learning approaches to phenotyping cellular motility and morphodynamics. Physical Biology. 18(4). 41001–41001. 16 indexed citations

Zhang, Ying K., Douglas K. Reilly, Diego Rayes, et al.. (2019). Co-option of neurotransmitter signaling for inter-organismal communication in C. elegans. Nature Communications. 10(1). 3186–3186. 20 indexed citations

Wang, Chuangqi, Hee June Choi, Sung‐Jin Kim, et al.. (2018). Deconvolution of subcellular protrusion heterogeneity and the underlying actin regulator dynamics from live cell imaging. Nature Communications. 9(1). 1688–1688. 19 indexed citations

Kim, Sung-Jin, Chuangqi Wang, Bing Zhao, et al.. (2018). Deep transfer learning-based hologram classification for molecular diagnostics. Scientific Reports. 8(1). 17003–17003. 47 indexed citations

Lee, Jason S., Hee June Choi, & Sung Hee Baek. (2017). Sumoylation and Its Contribution to Cancer. Advances in experimental medicine and biology. 963. 283–298. 37 indexed citations

Lee, Jason S., Yun-Ho Kim, Ik Soo Kim, et al.. (2010). Negative Regulation of Hypoxic Responses via Induced Reptin Methylation. Molecular Cell. 39(1). 71–85. 134 indexed citations

10.

Choi, Hee June, Ji Min Lee, Hyun-Kyung Kim, et al.. (2010). Bcl3-dependent stabilization of CtBP1 is crucial for the inhibition of apoptosis and tumor progression in breast cancer. Biochemical and Biophysical Research Communications. 400(3). 396–402. 39 indexed citations

11.

Kim, Jung Hwa, Ji Min Lee, Hye Jin Nam, et al.. (2007). SUMOylation of pontin chromatin-remodeling complex reveals a signal integration code in prostate cancer cells. Proceedings of the National Academy of Sciences. 104(52). 20793–20798. 53 indexed citations

12.

Kim, Jung Hwa, Hee June Choi, Ji Min Lee, et al.. (2006). Roles of sumoylation of a reptin chromatin-remodelling complex in cancer metastasis. Nature Cell Biology. 8(6). 631–639. 122 indexed citations

13.

Kim, Jung Hwa, Ling Cai, Hee June Choi, et al.. (2005). Transcriptional regulation of a metastasis suppressor gene by Tip60 and β-catenin complexes. Nature. 434(7035). 921–926. 251 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