Yong‐Soon Cho

1.3k total citations · 1 hit paper
48 papers, 1.0k citations indexed

About

Yong‐Soon Cho is a scholar working on Infectious Diseases, Molecular Biology and Pharmacology. According to data from OpenAlex, Yong‐Soon Cho has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Infectious Diseases, 20 papers in Molecular Biology and 14 papers in Pharmacology. Recurrent topics in Yong‐Soon Cho's work include Tuberculosis Research and Epidemiology (16 papers), Antibiotics Pharmacokinetics and Efficacy (12 papers) and Drug Transport and Resistance Mechanisms (8 papers). Yong‐Soon Cho is often cited by papers focused on Tuberculosis Research and Epidemiology (16 papers), Antibiotics Pharmacokinetics and Efficacy (12 papers) and Drug Transport and Resistance Mechanisms (8 papers). Yong‐Soon Cho collaborates with scholars based in South Korea, United States and Vietnam. Yong‐Soon Cho's co-authors include Byung‐Ha Oh, Byungje Sung, Jong‐Ik Hwang, Chul‐Woong Chung, Sejeong Shin, Nam‐Chul Ha, Hyun‐Ju Kim, Yong‐Keun Jung, Hyeong‐Seok Lim and Jae‐Gook Shin and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Yong‐Soon Cho

45 papers receiving 983 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An Anti-apoptotic Protein Human Survivin Is a Direct Inhibitor of Caspase-3 and -7

2001 587 citations Yong‐Soon Cho, Byung‐Ha Oh et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yong‐Soon Cho South Korea	13	665	230	144	126	113	48	1.0k
Yoshihiko Noguchi Japan	20	732 1.1×	246 1.1×	77 0.5×	99 0.8×	94 0.8×	61	1.4k
Jeong‐Min Kim South Korea	25	850 1.3×	219 1.0×	96 0.7×	107 0.8×	98 0.9×	51	1.4k
Yongxia Zhu China	20	798 1.2×	313 1.4×	116 0.8×	67 0.5×	52 0.5×	64	1.3k
Hiroaki Uranishi Japan	14	671 1.0×	273 1.2×	145 1.0×	61 0.5×	70 0.6×	24	1.1k
Donald Wojciechowicz United States	19	713 1.1×	124 0.5×	186 1.3×	74 0.6×	116 1.0×	31	1.5k
Astrid Kaiser Germany	21	729 1.1×	324 1.4×	100 0.7×	72 0.6×	64 0.6×	63	1.3k
Ming‐Derg Lai Taiwan	22	597 0.9×	352 1.5×	151 1.0×	51 0.4×	82 0.7×	48	1.3k
Chunlai Nie China	22	796 1.2×	293 1.3×	138 1.0×	60 0.5×	66 0.6×	57	1.3k
Moses M. Kasembeli United States	17	659 1.0×	498 2.2×	223 1.5×	80 0.6×	44 0.4×	25	1.3k
Kageaki Kuribayashi Japan	19	607 0.9×	262 1.1×	184 1.3×	55 0.4×	67 0.6×	54	1.2k

Countries citing papers authored by Yong‐Soon Cho

Since Specialization

Citations

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

Fields of papers citing papers by Yong‐Soon Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong‐Soon Cho. 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 Yong‐Soon Cho. The network helps show where Yong‐Soon Cho may publish in the future.

Co-authorship network of co-authors of Yong‐Soon Cho

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

All Works

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20 of 20 papers shown

Thu, Vo Thuy Anh, et al.. (2025). Deciphering linezolid-induced hematologic toxicity: Targeting TOP2A and TOP2B via its primary metabolite PNU142586. Science Advances. 11(22). eadt5833–eadt5833. 3 indexed citations

Park, Yumi, et al.. (2024). Application of the Hollow-Fiber Infection Model to Personalized Precision Dosing of Isoniazid in a Clinical Setting. Journal of Korean Medical Science. 39(13). e104–e104.

Punyawudho, Baralee, Sivaporn Gatechompol, Sasiwimol Ubolyam, et al.. (2024). The population pharmacokinetics of dolutegravir co‐administered with rifampicin in Thai people living with HIV: Assessment of alternative dosing regimens. CPT Pharmacometrics & Systems Pharmacology. 14(1). 95–104. 1 indexed citations

Kim, Ho-Sook, et al.. (2024). Enhancing drug administration flexibility: evaluation of pharmacokinetic properties of tegoprazan orally disintegrating tablet (ODT) administered via nasogastric tube or oral dosing. Translational and Clinical Pharmacology. 32(2). 98–98. 1 indexed citations

Kim, Hyun Kuk, Hyewon Seo, Jee Youn Oh, et al.. (2023). Population pharmacokinetic model of rifampicin for personalized tuberculosis pharmacotherapy: Effects of SLCO1B1 polymorphisms on drug exposure. International Journal of Antimicrobial Agents. 63(2). 107034–107034. 1 indexed citations

Lee, Ho‐Young, Jeongha Mok, Tae Won Jang, et al.. (2023). Recommendation of pharmacokinetics/pharmacodynamics target of ethambutol to suppress tuberculosis resistance: A population pharmacokinetics study on a large prospective cohort. International Journal of Antimicrobial Agents. 62(2). 106840–106840. 1 indexed citations

Park, I-Nae, Jehun Kim, Jee Youn Oh, et al.. (2023). Development of a population pharmacokinetic model of pyrazinamide to guide personalized therapy: impacts of geriatric and diabetes mellitus on clearance. Frontiers in Pharmacology. 14. 1116226–1116226. 2 indexed citations

Soedarsono, Soedarsono, Ni Made Mertaniasih, Rika Yuliwulandari, et al.. (2022). Development of population pharmacokinetics model of isoniazid in Indonesian patients with tuberculosis. International Journal of Infectious Diseases. 117. 8–14. 13 indexed citations

Nguyen, Lam Van, et al.. (2022). Center for Personalized Precision Medicine for Tuberculosis: Smart Research and Development Workstation. Healthcare Informatics Research. 28(2). 176–180. 4 indexed citations

10.

Cho, Yong‐Soon & Jae‐Gook Shin. (2022). Physiologically-based pharmacokinetic modeling of nafamostat to support dose selection for treatment of pediatric patients with COVID-19. Translational and Clinical Pharmacology. 30(1). 24–24. 2 indexed citations

11.

Kim, Min Jung, et al.. (2022). Quantitative Analysis of Isoniazid and Its Four Primary Metabolites in Plasma of Tuberculosis Patients Using LC-MS/MS. Molecules. 27(23). 8607–8607. 4 indexed citations

12.

Yen, Nguyen Thi Hai, Vo Thuy Anh Thu, Yong‐Soon Cho, et al.. (2022). Genome-wide gene expression analysis reveals molecular insights into the drug-induced toxicity of nephrotoxic agents. Life Sciences. 306. 120801–120801. 2 indexed citations

13.

Long, Nguyen Phuoc, Nguyen Thi Hai Yen, Seongoh Park, et al.. (2021). A 10-gene biosignature of tuberculosis treatment monitoring and treatment outcome prediction. Tuberculosis. 131. 102138–102138. 11 indexed citations

14.

Phương, Nguyễn Thị Thu, Jin Ah Jung, Jong‐Lyul Ghim, et al.. (2021). Para‐aminosalicylic acid significantly reduced tenofovir exposure in human subjects: Mismatched findings from in vitro to in vivo translational research. British Journal of Clinical Pharmacology. 88(3). 1159–1169. 4 indexed citations

15.

Nguyen, Lam Van, et al.. (2021). Comparison of multivariate linear regression and a machine learning algorithm developed for prediction of precision warfarin dosing in a Korean population. Journal of Thrombosis and Haemostasis. 19(7). 1676–1686. 31 indexed citations

16.

Cho, Yong‐Soon, et al.. (2018). Multiple-dose Safety, Tolerability, Pharmacokinetics, and Pharmacodynamics of Oral LCB01-0371 in Healthy Male Volunteers. Clinical Therapeutics. 40(12). 2050–2064. 12 indexed citations

17.

Cho, Yong‐Soon, Hyeong‐Seok Lim, Sungpil Han, et al.. (2018). Single-dose Intravenous Safety, Tolerability, and Pharmacokinetics and Absolute Bioavailability of LCB01-0371. Clinical Therapeutics. 41(1). 92–106. 10 indexed citations

18.

Cho, Yong‐Soon, et al.. (2015). The structures of the kinase domain and UBA domain of MPK38 suggest the activation mechanism for kinase activity. Acta Crystallographica Section A Foundations and Advances. 71(a1). s183–s183. 3 indexed citations

19.

Lee, Seung‐Chul, Yong‐Seok Heo, Yong‐Soon Cho, et al.. (2007). Design and synthesis of 7-hydroxy-1H-benzoimidazole derivatives as novel inhibitors of glycogen synthase kinase-3β. Bioorganic & Medicinal Chemistry Letters. 17(20). 5686–5689. 39 indexed citations

20.

Jang, Se Bok, Yeon‐Gil Kim, Yong‐Soon Cho, et al.. (2002). Crystal Structure of SEDL and Its Implications for a Genetic Disease Spondyloepiphyseal Dysplasia Tarda. Journal of Biological Chemistry. 277(51). 49863–49869. 68 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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