Won‐Ki Min

166 papers receiving 1.9k citations

Peers

Won‐Ki Min
Comparison fields: 5 of 146
  • Transplantation 71
  • Nephrology 167
  • Clinical Biochemistry 104
  • Statistics, Probability and Uncertainty 98
  • Endocrinology, Diabetes and Metabolism 186
Replace F.-Javier Gella with:
F.-Javier Gella Spain
G. Schumann Germany
Alan T. Remaley United States
Norbert Blanckaert Belgium
G Férard France
Anne Vassault France
Uffe Ravnskov Sweden
Nuala J. Meyer United States
Alfredo Di Leo Italy
David L. Witte United States
Won‐Ki Min relative to F.-Javier Gella Spain F.-Javier Gella's profile →
Citations per field
00.5×8.9×
F.-Javier Gella · 1×
Citations per year

Countries citing papers authored by Won‐Ki Min

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Ki Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won‐Ki Min. 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 Won‐Ki Min. The network helps show where Won‐Ki Min may publish in the future.

Co-authors

The 25 scholars most cited alongside Won‐Ki Min, 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 Won‐Ki Min Line = papers co-authored together Won‐Ki Min links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200591
2 200568
3 200454
4 200452
5 201452
6 200844
7 200942
8 201541
9 200441
10 202036
11 201035
12 201433
13
Analysis of turnaround time by subdividing three phases for outpatient chemistry specimens.
200932
14 199731
15 201129
16 201529
17 199529
18 201328
19 201627
20 200527

About Won‐Ki Min

Won‐Ki Min is a scholar working on Transplantation, Nephrology, Statistics, Probability and Uncertainty, Chemical Health and Safety and Hematology, having authored 176 papers that have together received 1.9k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (18 papers), Chronic Kidney Disease and Diabetes (12 papers), Lipoproteins and Cardiovascular Health (11 papers), Meta-analysis and systematic reviews (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Renal Transplantation Outcomes and Treatments (9 papers), Cancer Genomics and Diagnostics (9 papers) and Dialysis and Renal Disease Management (8 papers). The work is most often cited by research in Transplantation (71 citations), Nephrology (167 citations), Clinical Biochemistry (104 citations), Statistics, Probability and Uncertainty (98 citations) and Endocrinology, Diabetes and Metabolism (186 citations). Won‐Ki Min has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Sail Chun, Woochang Lee, Jin‐Ho Seo, Tae‐Dong Jeong, Yong‐Cheol Park, Hyosoon Park, Sollip Kim, Junghan Song, Youngjin Cho and Dae‐Hee Lee. Their work appears in journals such as Annals of Laboratory Medicine, Clinical Biochemistry, Journal of Clinical Laboratory Analysis, Annals of Clinical Biochemistry International Journal of Laboratory Medicine and Clinical Chemistry and Laboratory Medicine (CCLM).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026