Jaesung P. Choi

785 total citations
19 papers, 323 citations indexed

About

Jaesung P. Choi is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Jaesung P. Choi has authored 19 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 6 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Jaesung P. Choi's work include Vascular Malformations Diagnosis and Treatment (9 papers), Intracerebral and Subarachnoid Hemorrhage Research (7 papers) and Intracranial Aneurysms: Treatment and Complications (5 papers). Jaesung P. Choi is often cited by papers focused on Vascular Malformations Diagnosis and Treatment (9 papers), Intracerebral and Subarachnoid Hemorrhage Research (7 papers) and Intracranial Aneurysms: Treatment and Complications (5 papers). Jaesung P. Choi collaborates with scholars based in Australia, China and United States. Jaesung P. Choi's co-authors include Xiangjian Zheng, Philip M. Hansbro, Ka Ka Ting, Ulla Simanainen, David J. Handelsman, Yu Zheng, Matthew Foley, Yang Zhao, Jia Li and Gang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

In The Last Decade

Jaesung P. Choi

18 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaesung P. Choi Australia 11 123 84 43 35 31 19 323
Leo Huang Canada 7 88 0.7× 72 0.9× 43 1.0× 52 1.5× 41 1.3× 12 381
Erwin Lankes Germany 11 158 1.3× 30 0.4× 31 0.7× 31 0.9× 21 0.7× 20 342
Onur Baykara Türkiye 13 149 1.2× 57 0.7× 29 0.7× 32 0.9× 49 1.6× 28 348
Yune-Jung Park South Korea 7 120 1.0× 38 0.5× 20 0.5× 80 2.3× 12 0.4× 14 399
Amanda E. Au Australia 11 203 1.7× 54 0.6× 39 0.9× 112 3.2× 40 1.3× 16 470
Jyoti Joshi Mundra United States 8 107 0.9× 97 1.2× 20 0.5× 45 1.3× 18 0.6× 8 308
Patricia Calleja Spain 10 68 0.6× 68 0.8× 46 1.1× 62 1.8× 15 0.5× 16 308
Johanna G. Koster Netherlands 10 194 1.6× 40 0.5× 62 1.4× 23 0.7× 18 0.6× 13 398
Dina Pereira Portugal 11 106 0.9× 24 0.3× 39 0.9× 26 0.7× 23 0.7× 21 281

Countries citing papers authored by Jaesung P. Choi

Since Specialization
Citations

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

Fields of papers citing papers by Jaesung P. Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaesung P. Choi

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

All Works

19 of 19 papers shown
1.
Choi, Jaesung P., et al.. (2025). The Emerging Role of the Gut Microbiome in Cerebral Cavernous Malformation: A New Novel Therapeutic Strategy?. International Journal of Molecular Sciences. 26(17). 8622–8622.
2.
Qian, Cheng, Teng Zhang, Guanglu Dong, et al.. (2024). Targeting PKM2 signaling cascade with salvianic acid A normalizes tumor blood vessels to facilitate chemotherapeutic drug delivery. Acta Pharmaceutica Sinica B. 14(5). 2077–2096. 16 indexed citations
3.
Chopra, Neha, et al.. (2021). Blood-Spinal Cord Barrier: Its Role in Spinal Disorders and Emerging Therapeutic Strategies. SHILAP Revista de lepidopterología. 3(1). 1–27. 19 indexed citations
4.
Choi, Jaesung P., Xi Yang, Shuang He, et al.. (2021). CCM2L (Cerebral Cavernous Malformation 2 Like) Deletion Aggravates Cerebral Cavernous Malformation Through Map3k3-KLF Signaling Pathway. Stroke. 52(4). 1428–1436. 3 indexed citations
5.
Wang, Rui, Xi Yang, Jaesung P. Choi, et al.. (2021). Pdcd10-Stk24/25 complex controls kidney water reabsorption by regulating Aqp2 membrane targeting. JCI Insight. 6(12). 14 indexed citations
6.
Li, Jia, Yang Zhao, Jaesung P. Choi, et al.. (2020). Targeting miR-27a/VE-cadherin interactions rescues cerebral cavernous malformations in mice. PLoS Biology. 18(6). e3000734–e3000734. 36 indexed citations
7.
Choi, Jaesung P. & Xiangjian Zheng. (2020). Generation of Cerebral Cavernous Malformation in Neonatal Mouse Models Using Inducible Cre-LoxP Strategy. Methods in molecular biology. 253–258. 1 indexed citations
8.
Donovan, Chantal, Gang Liu, Sj Shen, et al.. (2020). The role of the microbiome and the NLRP3 inflammasome in the gut and lung. Journal of Leukocyte Biology. 108(3). 925–935. 71 indexed citations
9.
Li, Jia, Yang Zhao, Paul Coleman, et al.. (2019). Low fluid shear stress conditions contribute to activation of cerebral cavernous malformation signalling pathways. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(11). 165519–165519. 31 indexed citations
10.
Choi, Jaesung P., Rui Wang, Xi Yang, et al.. (2018). Ponatinib (AP24534) inhibits MEKK3-KLF signaling and prevents formation and progression of cerebral cavernous malformations. Science Advances. 4(11). eaau0731–eaau0731. 39 indexed citations
11.
Choi, Jaesung P., et al.. (2017). Induction and Micro-CT Imaging of Cerebral Cavernous Malformations in Mouse Model. Journal of Visualized Experiments. 6 indexed citations
12.
Ha, Siyoung, et al.. (2017). Inhibition of Importin β1 With a 2-Aminothiazole Derivative Resulted in G2/M Cell-cycle Arrest and Apoptosis. Anticancer Research. 37(5). 2373–2379. 9 indexed citations
13.
Choi, Jaesung P., et al.. (2017). Induction and Micro-CT Imaging of Cerebral Cavernous Malformations in Mouse Model. Journal of Visualized Experiments. 12 indexed citations
14.
Choi, Jaesung P., Yu Zheng, David J. Handelsman, & Ulla Simanainen. (2016). Glandular epithelial AR inactivation enhances PTEN deletion-induced uterine pathology. Endocrine Related Cancer. 23(5). 377–390. 2 indexed citations
15.
Choi, Jaesung P., Matthew Foley, Zinan Zhou, et al.. (2016). Micro-CT Imaging Reveals Mekk3 Heterozygosity Prevents Cerebral Cavernous Malformations in Ccm2-Deficient Mice. PLoS ONE. 11(8). e0160833–e0160833. 13 indexed citations
16.
Choi, Jaesung P., et al.. (2015). Development and Characterization of Uterine Glandular Epithelium Specific Androgen Receptor Knockout Mouse Model1. Biology of Reproduction. 93(5). 120–120. 21 indexed citations
17.
Choi, Jaesung P., Reena Desai, Yu Zheng, et al.. (2015). Androgen actions via androgen receptor promote PTEN inactivation induced uterine cancer. Endocrine Related Cancer. 22(5). 687–701. 9 indexed citations
18.
Choi, Jaesung P., et al.. (2014). The role of androgens in experimental rodent mammary carcinogenesis. Breast Cancer Research. 16(6). 483–483. 13 indexed citations
19.
Choi, Jaesung P., Yan Gao, Reena Desai, et al.. (2014). Glucocorticoid receptor in prostate epithelia is not required for corticosteroid-induced epithelial hyperproliferation in the mouse prostate. The Prostate. 74(10). 1068–1078. 8 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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