Sail Chun

146 papers receiving 1.8k citations

Peers

Sail Chun
Comparison fields: 5 of 132
  • Transplantation 78
  • Nephrology 156
  • Biochemistry 124
  • Endocrinology, Diabetes and Metabolism 218
  • Endocrine and Autonomic Systems 86
Replace Mustafa Serteser with:
Mustafa Serteser Türkiye
Zorana Jelić‐Ivanović Serbia
Evan A. Stein United States
Eric S Kilpatrick United Kingdom
Stefanos Roumeliotis Greece
Giuliano Tocci Italy
Pilar Fernández–Calle Spain
Stuart Weiss United States
Sarah Parish United Kingdom
Roberto Padrini Italy
Sail Chun relative to Mustafa Serteser Türkiye Mustafa Serteser's profile →
Citations per field
00.5×8.7×
Mustafa Serteser · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sail Chun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sail Chun Line = papers co-authored together Sail Chun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005125
2 2000122
3 201086
4 200771
5 201563
6 200454
7 200950
8 200844
9 200942
10 202036
11 201433
12
Analysis of turnaround time by subdividing three phases for outpatient chemistry specimens.
200932
13 201328
14 201627
15 200527
16
Evaluating the short message service alerting system for critical value notification via PDA telephones.
200827
17 201727
18 201227
19 200926
20 201026

About Sail Chun

Sail Chun is a scholar working on Physiology, Surgery, Molecular Biology, Pediatrics, Perinatology and Child Health and Nephrology, having authored 158 papers that have together received 1.8k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (21 papers), Meta-analysis and systematic reviews (11 papers), Cancer Genomics and Diagnostics (10 papers), Renal Transplantation Outcomes and Treatments (10 papers), Chronic Kidney Disease and Diabetes (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Pharmacological Effects and Toxicity Studies (7 papers) and Pharmacogenetics and Drug Metabolism (7 papers). The work is most often cited by research in Transplantation (78 citations), Nephrology (156 citations), Biochemistry (124 citations), Endocrinology, Diabetes and Metabolism (218 citations) and Endocrine and Autonomic Systems (86 citations). Sail Chun has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Won‐Ki Min, Woochang Lee, Tae‐Dong Jeong, Hyosoon Park, Sollip Kim, Heungsup Sung, Chung‐Hoon Kim, Hee Dong Chae, Byung Moon Kang and Sung Hoon Kim. Their work appears in journals such as Annals of Laboratory Medicine, Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Clinical Laboratory Analysis, Clinical Biochemistry and Annals of Clinical Biochemistry International Journal of Laboratory Medicine.

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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