Seong Won Choi

3.2k total citations
25 papers, 2.2k citations indexed

About

Seong Won Choi is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, Seong Won Choi has authored 25 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 10 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in Seong Won Choi's work include Autophagy in Disease and Therapy (15 papers), Calcium signaling and nucleotide metabolism (6 papers) and Galectins and Cancer Biology (4 papers). Seong Won Choi is often cited by papers focused on Autophagy in Disease and Therapy (15 papers), Calcium signaling and nucleotide metabolism (6 papers) and Galectins and Cancer Biology (4 papers). Seong Won Choi collaborates with scholars based in United States, Norway and Australia. Seong Won Choi's co-authors include Vojo Deretić, Terje Johansen, Ashish Jain, Tomonori Kimura, Michal Mudd, Ryan Peters, Michael A. Mandell, Suresh Kumar, Yuexi Gu and Jingyue Jia and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Seong Won Choi

25 papers receiving 2.2k citations

Peers

Seong Won Choi

EPIDE

IMMUN

PHYSI

Keisuke Tabata Japan

Yuexi Gu United States

Hossein A. Hamed United States

Seigo Terawaki Japan

You-Wen He United States

Chong-Shan Shi United States

Kanae Shirahama‐Noda Japan

Chong-Shan Shi United States

Monique Flacher France

Daniel J. Puleston United Kingdom

Keisuke Tabata Japan

Seong Won Choi

1.5k ×1.2

EPIDE

750 ×0.7

203 ×0.4

IMMUN

573 ×1.2

282 ×0.7

PHYSI

Citations per year, relative to Seong Won Choi Seong Won Choi (= 1×) peers Keisuke Tabata

Countries citing papers authored by Seong Won Choi

Since Specialization

Citations

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

Fields of papers citing papers by Seong Won Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seong Won Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Seong Won Choi. A scholar is included among the top collaborators of Seong Won 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 Seong Won Choi. Seong Won 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:

20 of 20 papers shown

Paramasivam, Prabu, Seong Won Choi, Ranjana Poddar, & Surojit Paul. (2024). Impairment of neuronal tyrosine phosphatase STEP worsens post-ischemic inflammation and brain injury under hypertensive condition. Journal of Neuroinflammation. 21(1). 271–271. 2 indexed citations

Kim, Dae Hyun, et al.. (2021). The effect of gastrointestinal patients’ health literacy levels on gastrointestinal patients’ health outcomes. Digital Commons - Trinity University (Trinity University). 5. 34–34. 3 indexed citations

Kumar, Suresh, Ashish Jain, Seong Won Choi, et al.. (2020). Mammalian Atg8 proteins and the autophagy factor IRGM control mTOR and TFEB at a regulatory node critical for responses to pathogens. Nature Cell Biology. 22(8). 973–985. 68 indexed citations

Jia, Jingyue, Bhawana Bissa, Lee Allers, et al.. (2020). AMPK, a Regulator of Metabolism and Autophagy, Is Activated by Lysosomal Damage via a Novel Galectin-Directed Ubiquitin Signal Transduction System. Molecular Cell. 77(5). 951–969.e9. 133 indexed citations

Bae, Sung‐Man, et al.. (2020). Antiviral therapy reduces the risk of dementia in patients with herpes zoster: A propensity score‐matched analysis. Alzheimer s & Dementia. 16(S10). 2 indexed citations

Kumar, Suresh, Ashish Jain, Seong Won Choi, et al.. (2020). Author Correction: Mammalian Atg8 proteins and the autophagy factor IRGM control mTOR and TFEB at a regulatory node critical for responses to pathogens. Nature Cell Biology. 22(10). 1286–1286. 1 indexed citations

Jia, Jingyue, Bhawana Bissa, Lee Allers, et al.. (2020). AMPK is activated during lysosomal damage via a galectin-ubiquitin signal transduction system. Autophagy. 16(8). 1550–1552. 28 indexed citations

Gu, Yuexi, Yakubu Princely Abudu, Suresh Kumar, et al.. (2019). Mammalian Atg8 proteins regulate lysosome and autolysosome biogenesis through SNARE s. The EMBO Journal. 38(22). e101994–e101994. 41 indexed citations

Jia, Jingyue, Aurore Claude‐Taupin, Yuexi Gu, et al.. (2019). Galectin-3 Coordinates a Cellular System for Lysosomal Repair and Removal. Developmental Cell. 52(1). 69–87.e8. 249 indexed citations

10.

Saha, Bhaskar, et al.. (2019). TAK 1 converts Sequestosome 1/p62 from an autophagy receptor to a signaling platform. EMBO Reports. 20(9). e46238–e46238. 30 indexed citations

11.

Jia, Jingyue, Yakubu Princely Abudu, Aurore Claude‐Taupin, et al.. (2018). Galectins Control mTOR in Response to Endomembrane Damage. Molecular Cell. 70(1). 120–135.e8. 205 indexed citations

12.

Choi, Seong Won, Yuexi Gu, Ryan Peters, et al.. (2018). Ambroxol Induces Autophagy and Potentiates Rifampin Antimycobacterial Activity. Antimicrobial Agents and Chemotherapy. 62(9). 38 indexed citations

13.

Kumar, Suresh, Santosh Chauhan, Ashish Jain, et al.. (2017). Galectins and TRIMs directly interact and orchestrate autophagic response to endomembrane damage. Autophagy. 13(6). 1086–1087. 41 indexed citations

14.

Chauhan, Santosh, Suresh Kumar, Ashish Jain, et al.. (2016). TRIMs and Galectins Globally Cooperate and TRIM16 and Galectin-3 Co-direct Autophagy in Endomembrane Damage Homeostasis. Developmental Cell. 39(1). 13–27. 348 indexed citations

15.

Kimura, Tomonori, Jingyue Jia, Suresh Kumar, et al.. (2016). Dedicated SNARE s and specialized TRIM cargo receptors mediate secretory autophagy. The EMBO Journal. 36(1). 42–60. 262 indexed citations

16.

Kimura, Tomonori, Ashish Jain, Seong Won Choi, et al.. (2016). TRIM-directed selective autophagy regulates immune activation. Autophagy. 13(5). 989–990. 112 indexed citations

17.

Chauhan, Santosh, Zahra Ahmed, Steven B. Bradfute, et al.. (2015). Pharmaceutical screen identifies novel target processes for activation of autophagy with a broad translational potential. Nature Communications. 6(1). 8620–8620. 117 indexed citations

18.

Kimura, Tomonori, Ashish Jain, Seong Won Choi, et al.. (2015). TRIM-mediated precision autophagy targets cytoplasmic regulators of innate immunity. The Journal of Experimental Medicine. 212(10). 21210OIA77–21210OIA77. 5 indexed citations

19.

Lee, Jong‐Hee, Seong Won Choi, Viorel Atudorei, et al.. (2010). 13[C]-Urea Breath Test as a Novel Point-of-Care Biomarker for Tuberculosis Treatment and Diagnosis. PLoS ONE. 5(8). e12451–e12451. 23 indexed citations

20.

Kang, Hee Kyoung, Jung Jin Lee, Jin Won Hyun, et al.. (2003). Induction of the Differentiation of HL-60 Promyelocytic Leukemia Cells byl-Ascorbic Acid. Free Radical Research. 37(7). 773–779. 15 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