Sail Chun

151 papers receiving 2.0k citations

Peers

Sail Chun
Comparison fields: 5 of 126
  • Transplantation 70
  • Nephrology 133
  • Biochemistry 106
  • Hepatology 96
  • Endocrine and Autonomic Systems 81
Replace Daniel Del Castillo with:
Daniel Del Castillo Spain
Chang Hee Jung South Korea
Ying Dong China
Erdinç Çakır Türkiye
Yoon Sik Chang South Korea
Hye Eun Yoon South Korea
Hassan Argani Iran
Lorenzo A. Calò Italy
Charles R. Yates United States
Mustafa Serteser Türkiye
Sail Chun relative to Daniel Del Castillo Spain Daniel Del Castillo's profile →
Citations per field
00.5×1.5×1.8×
Daniel Del Castillo · 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 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018143
2 2005125
3 2000123
4 201087
5 200771
6 201563
7 200455
8 200949
9 200844
10 200942
11 202038
12 201434
13
Analysis of turnaround time by subdividing three phases for outpatient chemistry specimens.
200932
14 201929
15 201328
16 201027
17 200527
18 201727
19 201627
20 201227

About Sail Chun

Sail Chun is a scholar working on Physiology, Epidemiology, Endocrinology, Diabetes and Metabolism, Surgery and Nephrology, having authored 161 papers that have together received 2.0k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (17 papers), Renal Transplantation Outcomes and Treatments (9 papers), Chronic Kidney Disease and Diabetes (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Meta-analysis and systematic reviews (5 papers), Cancer Genomics and Diagnostics (5 papers), Pharmacological Effects and Toxicity Studies (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Transplantation (70 citations), Nephrology (133 citations), Biochemistry (106 citations), Hepatology (96 citations) and Endocrine and Autonomic Systems (81 citations). Sail Chun has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Won‐Ki Min, Woochang Lee, Tae‐Dong Jeong, Hyosoon Park, Sollip Kim, Heungsup Sung, Woochang Lee, Jonggi Choi, Gi‐Ae Kim and Young‐Suk Lim. Their work appears in journals such as Annals of Laboratory Medicine, Journal of Clinical Laboratory Analysis, Clinical Chemistry and Laboratory Medicine (CCLM), Annals of Clinical Biochemistry International Journal of Laboratory Medicine and Clinical Biochemistry.

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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