Sail Chun

168 papers receiving 2.2k citations

Peers

Sail Chun
Comparison fields: 5 of 126
  • Transplantation 77
  • Nephrology 136
  • Biochemistry 113
  • Hepatology 118
  • Endocrine and Autonomic Systems 86
Replace Ying Dong with:
Ying Dong China
Hye Eun Yoon South Korea
Charles Ryan Yates United States
Kyu Yeon Hur South Korea
László Bajnok Hungary
Mustafa Serteser Türkiye
Roberto Padrini Italy
Seok Joon Shin South Korea
Kamal F. Badr United States
Evangelia C. Dounousi Greece
Sail Chun relative to Ying Dong China Ying Dong's profile →
Citations per field
00.5×2×4×5.9×
Ying Dong · 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 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018165
2 2005131
3 2000127
4 201097
5 200774
6 201573
7 200459
8 200953
9 200846
10 202044
11 200943
12 201434
13
Analysis of turnaround time by subdividing three phases for outpatient chemistry specimens.
200932
14 201932
15 200531
16 201230
17 201030
18 201330
19 201629
20
Evaluating the short message service alerting system for critical value notification via PDA telephones.
200828

About Sail Chun

Sail Chun is a scholar working on Physiology, Pharmacology, Transplantation, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 179 papers that have together received 2.3k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (20 papers), Renal Transplantation Outcomes and Treatments (9 papers), Pharmacogenetics and Drug Metabolism (7 papers), Genetic factors in colorectal cancer (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Meta-analysis and systematic reviews (6 papers), Cancer Genomics and Diagnostics (6 papers) and Chronic Kidney Disease and Diabetes (6 papers). The work is most often cited by research in Transplantation (77 citations), Nephrology (136 citations), Biochemistry (113 citations), Hepatology (118 citations) and Endocrine and Autonomic Systems (86 citations). Sail Chun has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Won‐Ki Min, Woochang Lee, Tae‐Dong Jeong, Sollip Kim, Hyosoon Park, Heungsup Sung, Gi‐Ae Kim, Young‐Suk Lim, Seungbong Han and Jonggi Choi. 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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