Choong H. Lee

1.3k total citations
35 papers, 938 citations indexed

About

Choong H. Lee is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Choong H. Lee has authored 35 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Cognitive Neuroscience. Recurrent topics in Choong H. Lee's work include Advanced MRI Techniques and Applications (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Choong H. Lee is often cited by papers focused on Advanced MRI Techniques and Applications (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Choong H. Lee collaborates with scholars based in South Korea, United States and China. Choong H. Lee's co-authors include Sunmin Lee, Eun Lee, Suk Kyoon An, Kee Namkoong, Digar Singh, Hyang Kim, Jiangyang Zhang, Stephen J. Blackband, Byoung Seok Moon and Hye Won Shin and has published in prestigious journals such as Nature, Genes & Development and NeuroImage.

In The Last Decade

Choong H. Lee

35 papers receiving 923 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Choong H. Lee South Korea 18 370 207 126 123 92 35 938
Jingli Zhang China 21 492 1.3× 254 1.2× 77 0.6× 54 0.4× 16 0.2× 65 1.2k
Stata Norton United States 26 597 1.6× 201 1.0× 133 1.1× 58 0.5× 69 0.8× 102 1.8k
Marija Radojčić Serbia 21 422 1.1× 67 0.3× 47 0.4× 23 0.2× 52 0.6× 61 1.4k
Ali Moghimi Iran 20 228 0.6× 137 0.7× 82 0.7× 91 0.7× 12 0.1× 76 927
Balázs Varga Hungary 22 415 1.1× 171 0.8× 151 1.2× 58 0.5× 19 0.2× 53 1.4k
Eunjung Bang South Korea 15 212 0.6× 108 0.5× 75 0.6× 30 0.2× 33 0.4× 33 580
Wanling Peng China 14 288 0.8× 44 0.2× 201 1.6× 58 0.5× 17 0.2× 21 922
Asunción Rocher Spain 25 649 1.8× 212 1.0× 223 1.8× 24 0.2× 14 0.2× 73 1.9k
Sachi Sri Kantha Japan 15 156 0.4× 83 0.4× 141 1.1× 67 0.5× 17 0.2× 62 768
Laura Mattioli Italy 17 609 1.6× 114 0.6× 41 0.3× 39 0.3× 10 0.1× 49 1.2k

Countries citing papers authored by Choong H. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Choong H. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Choong H. Lee. 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 Choong H. Lee. The network helps show where Choong H. Lee may publish in the future.

Co-authorship network of co-authors of Choong H. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Choong H. Lee. A scholar is included among the top collaborators of Choong H. Lee 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 Choong H. Lee. Choong H. Lee 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.
Lee, Choong H., et al.. (2023). Using mesoscopic tract-tracing data to guide the estimation of fiber orientation distributions in the mouse brain from diffusion MRI. NeuroImage. 270. 119999–119999. 2 indexed citations
2.
Lee, Choong H., et al.. (2023). Towards reliable reconstruction of the mouse brain corticothalamic connectivity using diffusion MRI. NeuroImage. 273. 120111–120111. 8 indexed citations
3.
Faiq, Muneeb A., Russell W. Chan, Carlos Parra, et al.. (2021). Entry of cerebrospinal fluid components into the anterior chamber of the eye. Investigative Ophthalmology & Visual Science. 62(11). 37–37. 2 indexed citations
4.
Zhang, Chaoyi, Ukash Nakarmi, Choong H. Lee, et al.. (2020). Acceleration of three-dimensional diffusion magnetic resonance imaging using a kernel low-rank compressed sensing method. NeuroImage. 210. 116584–116584. 12 indexed citations
5.
Shao, Wei, Jiajun Yang, Ming He, et al.. (2020). Centrosome anchoring regulates progenitor properties and cortical formation. Nature. 580(7801). 106–112. 68 indexed citations
6.
Blackband, Stephen J., Jeremy J. Flint, Brian Hansen, et al.. (2020). On the Origins of Diffusion MRI Signal Changes in Stroke. Frontiers in Neurology. 11. 549–549. 4 indexed citations
7.
Chen, She, Zhizhong Li, Choong H. Lee, et al.. (2018). PARD3 dysfunction in conjunction with dynamic HIPPO signaling drives cortical enlargement with massive heterotopia. Genes & Development. 32(11-12). 763–780. 48 indexed citations
8.
Sukweenadhi, Johan, et al.. (2018). A Growth-Promoting Bacteria, Paenibacillus yonginensis DCY84T Enhanced Salt Stress Tolerance by Activating Defense-Related Systems in Panax ginseng. Frontiers in Plant Science. 9. 813–813. 70 indexed citations
9.
Son, Su Young, Sunmin Lee, Digar Singh, et al.. (2018). Comprehensive Secondary Metabolite Profiling Toward Delineating the Solid and Submerged-State Fermentation of Aspergillus oryzae KCCM 12698. Frontiers in Microbiology. 9. 1076–1076. 29 indexed citations
10.
Singh, Digar & Choong H. Lee. (2018). Volatiles Mediated Interactions Between Aspergillus oryzae Strains Modulate Morphological Transition and Exometabolomes. Frontiers in Microbiology. 9. 628–628. 10 indexed citations
11.
Chiu, Yu‐Chun, Na Rae Kim, Hye Lin Park, et al.. (2017). Cultivar-Specific Changes in Primary and Secondary Metabolites in Pak Choi (Brassica Rapa, Chinensis Group) by Methyl Jasmonate. International Journal of Molecular Sciences. 18(5). 1004–1004. 48 indexed citations
12.
Lee, Choong H., et al.. (2017). Magnetic Resonance Microscopy (MRM) of Single Mammalian Myofibers and Myonuclei. Scientific Reports. 7(1). 39496–39496. 8 indexed citations
13.
14.
15.
Singh, Digar, et al.. (2016). Ultrahigh Pressure Processing Produces Alterations in the Metabolite Profiles of Panax ginseng. Molecules. 21(6). 816–816. 14 indexed citations
16.
Kim, Hyang, Hye Sang Park, Yoo Kyoung Park, et al.. (2015). Urine and Serum Metabolite Profiling of Rats Fed a High-Fat Diet and the Anti-Obesity Effects of Caffeine Consumption. Molecules. 20(2). 3107–3128. 39 indexed citations
17.
Lee, Choong H., Amber K. O’Connor, Chaozhe Yang, et al.. (2015). Magnetic resonance microscopy of renal and biliary abnormalities in excised tissues from a mouse model of autosomal recessive polycystic kidney disease. Physiological Reports. 3(8). e12517–e12517. 1 indexed citations
18.
Lee, Choong H., Stephen J. Blackband, & Pedro Fernández-Fúnez. (2015). Visualization of synaptic domains in the Drosophila brain by magnetic resonance microscopy at 10 micron isotropic resolution. Scientific Reports. 5(1). 8920–8920. 16 indexed citations
19.
Lee, Choong H., et al.. (2004). Prediction of the Development of Alcohol Withdrawal Delirium. JOURNAL OF THE KOREAN NEUROPSYCHIATRIC ASSOCIATION. 43(5). 559–563. 2 indexed citations
20.
An, Suk Kyoon, et al.. (2002). Reduced P3 amplitudes by negative facial emotional photographs in schizophrenia. Schizophrenia Research. 64(2-3). 125–135. 48 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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