Sail Chun

2.6k total citations
158 papers, 1.8k citations indexed

About

Sail Chun is a scholar working on Physiology, Surgery and Molecular Biology. According to data from OpenAlex, Sail Chun has authored 158 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Physiology, 24 papers in Surgery and 21 papers in Molecular Biology. Recurrent topics in Sail Chun's work include Clinical Laboratory Practices and Quality Control (21 papers), Meta-analysis and systematic reviews (11 papers) and Renal Transplantation Outcomes and Treatments (10 papers). Sail Chun is often cited by papers focused on Clinical Laboratory Practices and Quality Control (21 papers), Meta-analysis and systematic reviews (11 papers) and Renal Transplantation Outcomes and Treatments (10 papers). Sail Chun collaborates with scholars based in South Korea, United States and Ethiopia. Sail Chun's co-authors include Won‐Ki Min, Woochang Lee, Tae‐Dong Jeong, Hyosoon Park, Sollip Kim, Heungsup Sung, Byung Moon Kang, Hee Dong Chae, Chung‐Hoon Kim and Sung Hoon Kim and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Stroke and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Sail Chun

146 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sail Chun South Korea 23 309 287 260 218 217 158 1.8k
Mustafa Serteser Türkiye 29 471 1.5× 380 1.3× 645 2.5× 164 0.8× 176 0.8× 125 2.6k
Hassan Argani Iran 25 289 0.9× 336 1.2× 181 0.7× 271 1.2× 143 0.7× 113 1.8k
Hye Eun Yoon South Korea 23 333 1.1× 424 1.5× 274 1.1× 183 0.8× 114 0.5× 110 2.1k
Giovanni de Gaetano Italy 27 234 0.8× 321 1.1× 241 0.9× 131 0.6× 81 0.4× 114 2.5k
Antonella Bassi Italy 29 377 1.2× 347 1.2× 324 1.2× 334 1.5× 78 0.4× 81 2.0k
Slavica Spasić Serbia 27 340 1.1× 320 1.1× 213 0.8× 352 1.6× 71 0.3× 82 1.7k
Sanja Stanković Serbia 21 263 0.9× 215 0.7× 147 0.6× 139 0.6× 93 0.4× 172 1.6k
Zorana Jelić‐Ivanović Serbia 26 519 1.7× 450 1.6× 328 1.3× 493 2.3× 96 0.4× 103 2.3k
Vesna Spasojević‐Kalimanovska Serbia 26 666 2.2× 429 1.5× 341 1.3× 626 2.9× 108 0.5× 122 2.7k
Chiara Giannarelli United States 34 490 1.6× 687 2.4× 383 1.5× 401 1.8× 144 0.7× 88 3.1k

Countries citing papers authored by Sail Chun

Since Specialization
Citations

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

Fields of papers citing papers by Sail Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sail Chun. 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 Sail Chun. The network helps show where Sail Chun may publish in the future.

Co-authorship network of co-authors of Sail Chun

This figure shows the co-authorship network connecting the top 25 collaborators of Sail Chun. A scholar is included among the top collaborators of Sail Chun 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 Sail Chun. Sail Chun 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.
Chang, Jeonghyun, Sooin Choi, Sollip Kim, et al.. (2025). Standards and Practice Guidelines for Venous Blood Collection: Consensus Recommendations from the Korean Society for Laboratory Medicine. Annals of Laboratory Medicine. 45(4). 343–357.
2.
Kim, Sollip, Tae‐Dong Jeong, Kyunghoon Lee, et al.. (2024). Quantitative Evaluation of the Real-World Harmonization Status of Laboratory Test Items Using External Quality Assessment Data. Annals of Laboratory Medicine. 44(6). 529–536. 6 indexed citations
3.
Seok, Hyeon Seok, Shinae Yu, Kyung‐Hwa Shin, et al.. (2024). Machine Learning-Based Sample Misidentification Error Detection in Clinical Laboratory Tests: A Retrospective Multicenter Study. Clinical Chemistry. 70(10). 1256–1267. 2 indexed citations
5.
Cho, Eun‐Jung, Tae‐Dong Jeong, Sollip Kim, et al.. (2023). Impact of Academia-Government Collaboration on Laboratory Medicine Standardization in South Korea: analysis of eight years creatinine proficiency testing experience. Clinical Chemistry and Laboratory Medicine (CCLM). 62(5). 861–869. 2 indexed citations
7.
Jeong, Tae‐Dong, et al.. (2022). Accuracy of the New Creatinine-based Equations for Estimating Glomerular Filtration Rate in Koreans. Annals of Laboratory Medicine. 43(3). 244–252. 21 indexed citations
8.
Lee, Woochang, et al.. (2022). Intuitive Modification of the Friedewald Formula for Calculation of LDL-Cholesterol. Annals of Laboratory Medicine. 43(1). 29–37. 7 indexed citations
9.
Jeong, Tae‐Dong, Eun‐Jung Cho, Kyunghoon Lee, et al.. (2021). Recent Trends in Creatinine Assays in Korea: Long-Term Accuracy-Based Proficiency Testing Survey Data by the Korean Association of External Quality Assessment Service (2011–2019). Annals of Laboratory Medicine. 41(4). 372–379. 11 indexed citations
10.
Kim, Sollip, Kyunghoon Lee, Hyung‐Doo Park, et al.. (2020). Schemes and Performance Evaluation Criteria of Korean Association of External Quality Assessment (KEQAS) for Improving Laboratory Testing. Annals of Laboratory Medicine. 41(2). 230–239. 14 indexed citations
11.
Kim, Sollip, Yeo‐Min Yun, Hyeongsu Kim, et al.. (2020). The New Diagnosis-Related Group Reimbursement System and Laboratory Test Quality in Korea: Analysis of External Quality Assessment Results. Healthcare. 8(2). 127–127. 4 indexed citations
12.
Sung, Ji Yeon, Dae‐Hyun Ko, Min-Jeong Park, et al.. (2020). Establishment of Pediatric Reference Intervals for Routine Laboratory Tests in Korean Population: A Retrospective Multicenter Analysis. Annals of Laboratory Medicine. 41(2). 155–170. 8 indexed citations
13.
Chae, Hyojin, Hyung‐Doo Park, Sail Chun, et al.. (2019). Use of Liquid Chromatography-Tandem Mass Spectrometry for Clinical Testing in Korean Laboratories: a Questionnaire Survey. Annals of Laboratory Medicine. 39(5). 447–453. 7 indexed citations
14.
Kim, So Young, Tae‐Dong Jeong, Woochang Lee, et al.. (2018). Plasma Neutrophil Gelatinase-Associated Lipocalin as a Marker of Tubular Damage in Diabetic Nephropathy. Annals of Laboratory Medicine. 38(6). 524–529. 19 indexed citations
15.
16.
Ji, Misuk, et al.. (2016). Genetic Polymorphism ofCYP2D6and Clomiphene Concentrations in Infertile Patients with Ovulatory Dysfunction Treated with Clomiphene Citrate. Journal of Korean Medical Science. 31(2). 310–310. 10 indexed citations
17.
Kim, Sollip, Woochang Lee, Sail Chun, Tae Hyun Um, & Won‐Ki Min. (2014). Expression ofIMPDHmRNA after Mycophenolate Administration in Male Volunteers. BioMed Research International. 2014. 1–6. 1 indexed citations
18.
Jeong, Tae‐Dong, Woochang Lee, Sung‐Eun Choi, et al.. (2014). Relationship between Serum Total Cholesterol Level and Serum Biochemical Bone Turnover Markers in Healthy Pre- and Postmenopausal Women. BioMed Research International. 2014. 1–7. 33 indexed citations
19.
Jeong, Tae‐Dong, Young‐Uk Cho, Woochang Lee, Sail Chun, & Won‐Ki Min. (2014). An efficient genomic DNA extraction from whole blood using Nextractor. Clinica Chimica Acta. 435. 14–17. 4 indexed citations
20.
Chun, Sail, et al.. (2001). The Performance Evaluation of Yeongdong URiSCAN GEN 10SGL Urine Dipstick Strip Using Other Quantitative, Microscopic, and Culture Methods. The Korean Journal of Laboratory Medicine. 21(6). 471–479. 2 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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