Won‐Ki Min

167 papers receiving 1.9k citations

Peers

Won‐Ki Min
Comparison fields: 5 of 140
  • Transplantation 66
  • Nephrology 145
  • Clinical Biochemistry 88
  • Biochemistry 52
  • Endocrinology, Diabetes and Metabolism 129
Replace Mark E. Williams with:
Mark E. Williams United States
Steven L. Flamm United States
Jing Gong China
Thomas Boyer United States
D.A. Reaveley United Kingdom
James P. Nolan United States
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Autar K. Walli Germany
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Citations per field
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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 200595
2 200568
3 200459
4 200455
5 201452
6 200846
7 201543
8 200943
9 200441
10 201038
11 202038
12 201434
13
Analysis of turnaround time by subdividing three phases for outpatient chemistry specimens.
200932
14 199731
15 199531
16 200530
17 201930
18 201530
19 201129
20 201228

About Won‐Ki Min

Won‐Ki Min is a scholar working on Molecular Biology, Surgery, Physiology, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 176 papers that have together received 2.0k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (15 papers), Chronic Kidney Disease and Diabetes (9 papers), Renal Transplantation Outcomes and Treatments (8 papers), Mycotoxins in Agriculture and Food (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Cancer Genomics and Diagnostics (5 papers) and Lipoproteins and Cardiovascular Health (5 papers). The work is most often cited by research in Transplantation (66 citations), Nephrology (145 citations), Clinical Biochemistry (88 citations), Biochemistry (52 citations) and Endocrinology, Diabetes and Metabolism (129 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, Clinical Chemistry and Laboratory Medicine (CCLM) 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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