Kyung‐Sang Yu

6.1k total citations
333 papers, 4.5k citations indexed

About

Kyung‐Sang Yu is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Oncology. According to data from OpenAlex, Kyung‐Sang Yu has authored 333 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Endocrinology, Diabetes and Metabolism, 66 papers in Molecular Biology and 62 papers in Oncology. Recurrent topics in Kyung‐Sang Yu's work include Diabetes Treatment and Management (42 papers), Pharmacogenetics and Drug Metabolism (41 papers) and Drug Transport and Resistance Mechanisms (39 papers). Kyung‐Sang Yu is often cited by papers focused on Diabetes Treatment and Management (42 papers), Pharmacogenetics and Drug Metabolism (41 papers) and Drug Transport and Resistance Mechanisms (39 papers). Kyung‐Sang Yu collaborates with scholars based in South Korea, United States and Puerto Rico. Kyung‐Sang Yu's co-authors include In‐Jin Jang, Joo‐Youn Cho, SeungHwan Lee, Seo Hyun Yoon, Kyoung Soo Lim, Jae‐Yong Chung, Sang‐Goo Shin, Sang-Goo Shin, SoJeong Yi and Bo‐Hyung Kim and has published in prestigious journals such as Blood, Gastroenterology and PLoS ONE.

In The Last Decade

Kyung‐Sang Yu

316 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyung‐Sang Yu South Korea	32	918	799	729	704	663	333	4.5k
Joo‐Youn Cho South Korea	40	1.6k 1.8×	1.3k 1.6×	535 0.7×	1.1k 1.5×	592 0.9×	289	5.8k
In‐Jin Jang South Korea	40	1.5k 1.6×	1.6k 2.0×	693 1.0×	1.2k 1.7×	645 1.0×	306	5.9k
Annalisa Capuano Italy	41	1.1k 1.2×	821 1.0×	672 0.9×	247 0.4×	532 0.8×	266	5.8k
Bernd Meibohm United States	44	2.0k 2.2×	1.2k 1.4×	618 0.8×	719 1.0×	612 0.9×	170	7.5k
Elisabetta Poluzzi Italy	36	1.2k 1.4×	513 0.6×	386 0.5×	316 0.4×	403 0.6×	158	5.1k
Kenneth C. Lasseter United States	43	978 1.1×	825 1.0×	1.1k 1.5×	642 0.9×	742 1.1×	155	6.4k
Emanuel Raschi Italy	34	636 0.7×	659 0.8×	379 0.5×	331 0.5×	342 0.5×	169	4.1k
Saı̈k Urien France	43	1.4k 1.6×	1.3k 1.7×	995 1.4×	413 0.6×	639 1.0×	283	6.2k
Thomas Marbury United States	41	946 1.0×	450 0.6×	959 1.3×	270 0.4×	1.4k 2.1×	217	5.9k
Fabrizio De Ponti Italy	49	1.9k 2.1×	623 0.8×	405 0.6×	433 0.6×	547 0.8×	265	8.3k

Countries citing papers authored by Kyung‐Sang Yu

Since Specialization

Citations

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

Fields of papers citing papers by Kyung‐Sang Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyung‐Sang Yu. 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 Kyung‐Sang Yu. The network helps show where Kyung‐Sang Yu may publish in the future.

Co-authorship network of co-authors of Kyung‐Sang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Kyung‐Sang Yu. A scholar is included among the top collaborators of Kyung‐Sang Yu 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 Kyung‐Sang Yu. Kyung‐Sang Yu 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

Kim, Yoonjin, et al.. (2025). Exploration of Using an Open‐Source Large Language Model for Analyzing Trial Information: A Case Study of Clinical Trials With Decentralized Elements. Clinical and Translational Science. 18(3). e70183–e70183. 2 indexed citations

Song, Sang Hoon, et al.. (2025). Comparing haploidentical transplantation with post-transplantation cyclophosphamide and umbilical cord blood transplantation using targeted busulfan in children and adolescents with hematologic malignancies. Blood Research. 60(1). 7–7.

Hong, Kyung Taek, Hyun Jin Park, Sang Hoon Song, et al.. (2024). Prospective phase II study of allogeneic hematopoietic stem cell transplantation with targeted busulfan, fludarabine, and etoposide conditioning in pediatric acute lymphoblastic leukemia. HemaSphere. 8(12). e70051–e70051.

Chung, Jae‐Yong, et al.. (2023). Pharmacokinetic Comparison Between a Fixed‐Dose Combination of Empagliflozin L‐Proline/Metformin and Empagliflozin/Metformin in Healthy Korean Subjects. Clinical Pharmacology in Drug Development. 12(12). 1156–1163.

Park, Min Young, et al.. (2023). Safety, tolerability, pharmacokinetic/pharmacodynamic characteristics of bersiporocin, a novel prolyl‐tRNA synthetase inhibitor, in healthy subjects. Clinical and Translational Science. 16(7). 1163–1176. 6 indexed citations

Yu, Kyung‐Sang, et al.. (2023). Prediction of gastric pH‐mediated drug exposure using physiologically‐based pharmacokinetic modeling: A case study of itraconazole. CPT Pharmacometrics & Systems Pharmacology. 12(6). 865–877. 6 indexed citations

Ko, Jieun, Kyung‐Sang Yu, Hyuktae Kwon, et al.. (2023). Exploring the Category and Use Cases on Digital Therapeutic Methodologies. Healthcare Informatics Research. 29(3). 190–198. 1 indexed citations

Lee, Hyun A., Hyun A. Lee, Kyeong‐Ryoon Lee, et al.. (2022). A population PK–PD model of YH4808, a novel P‐CAB, and intragastric pH that incorporated negative feedback by increased intragastric pH onto the systemic exposure to YH4808. CPT Pharmacometrics & Systems Pharmacology. 11(9). 1223–1233. 1 indexed citations

Lee, Yujin, et al.. (2021). Effects of vancomycin‐induced gut microbiome alteration on the pharmacodynamics of metformin in healthy male subjects. Clinical and Translational Science. 14(5). 1955–1966. 17 indexed citations

10.

Lee, Yujin, Andrew HyoungJin Kim, SeungHwan Lee, et al.. (2021). Changes in the gut microbiome influence the hypoglycemic effect of metformin through the altered metabolism of branched-chain and nonessential amino acids. Diabetes Research and Clinical Practice. 178. 108985–108985. 31 indexed citations

11.

Cho, Joo‐Youn, et al.. (2020). Pharmacokinetics and pharmacodynamics of a fixed-dose combination of gemigliptin/metformin sustained release 25/500 mg compared to the loose combination in healthy male subjects. Translational and Clinical Pharmacology. 28(1). 43–43. 1 indexed citations

12.

Kim, Yun, Oliver Hatley, Su‐jin Rhee, et al.. (2019). Development of a Korean‐specific virtual population for physiologically based pharmacokinetic modelling and simulation. Biopharmaceutics & Drug Disposition. 40(3-4). 135–150. 16 indexed citations

13.

Kim, Da Jung, Eun Ju Cho, Kyung‐Sang Yu, et al.. (2019). Comprehensive Metabolomic Search for Biomarkers to Differentiate Early Stage Hepatocellular Carcinoma from Cirrhosis. Cancers. 11(10). 1497–1497. 55 indexed citations

14.

Jang, In‐Jin, et al.. (2019). <p>A Fixed-Dose Combination Of Gemigliptin And Rosuvastatin Exhibits Similar Pharmacokinetics, Pharmacodynamics, And Safety Compared To That Of A Loose Combination In Healthy Subjects</p>. Drug Design Development and Therapy. Volume 13. 3879–3885. 3 indexed citations

15.

Suh, Hyeon Jeong, Seo Hyun Yoon, Kyung‐Sang Yu, et al.. (2018). The Genetic Polymorphism UGT1A4*3 Is Associated with Low Posaconazole Plasma Concentrations in Hematological Malignancy Patients Receiving the Oral Suspension. Antimicrobial Agents and Chemotherapy. 62(7). 20 indexed citations

16.

Rhee, Su‐jin, Jung-Won Shin, SeungHwan Lee, et al.. (2017). Population pharmacokinetics and dose-response relationship of levetiracetam in adult patients with epilepsy. Epilepsy Research. 132. 8–14. 30 indexed citations

17.

Suh, Hyeon Jeong, Inho Kim, Joo‐Youn Cho, et al.. (2017). Comparison of Plasma Concentrations of Posaconazole with the Oral Suspension and Tablet in Korean Patients with Hematologic Malignancies. Infection and Chemotherapy. 49(2). 135–135. 11 indexed citations

18.

Shin, Dongseong, SeungHwan Lee, SoJeong Yi, et al.. (2017). Pharmacokinetics and tolerability of DA-8031, a novel selective serotonin reuptake inhibitor for premature ejaculation in healthy male subjects. Drug Design Development and Therapy. Volume11. 713–723. 3 indexed citations

19.

Moon, Jangsup, Tae‐Joon Kim, Jung‐Ah Lim, et al.. (2016). HLA‐B*40:02 and DRB1*04:03 are risk factors for oxcarbazepine‐induced maculopapular eruption. Epilepsia. 57(11). 1879–1886. 23 indexed citations

20.

Lee, Jae Sung, Su Jin Kim, Kyung‐Sang Yu, et al.. (2012). Compartmental modeling and simplified quantification of [11C]sertraline distribution in human brain. Archives of Pharmacal Research. 35(9). 1591–1597. 5 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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