Sollip Kim

87 papers receiving 717 citations

Peers

Sollip Kim
Comparison fields: 5 of 122
  • Nephrology 92
  • Health Informatics 11
  • Statistics, Probability and Uncertainty 58
  • Toxicology 24
  • Reproductive Medicine 45
Replace David Colantonio with:
David Colantonio Canada
Jae Hung Jung South Korea
Phillip J. Monaghan United Kingdom
Steven C. Kazmierczak United States
Thomas B. Ledue United States
Josep Miquel Bauçà Spain
MaryAnn M Murakami United States
William E. Owen United States
W. Dere United States
Amit Pahwa United States
Sollip Kim relative to David Colantonio Canada David Colantonio's profile →
Citations per field
00.5×2.7×
David Colantonio · 1×
Citations per year

Countries citing papers authored by Sollip Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sollip Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sollip Kim. 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 Sollip Kim. The network helps show where Sollip Kim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201345
2 201242
3 201942
4 201740
5 201636
6 200933
7 201429
8 201225
9 201220
10
Influence of Vitamin C on Urine Dipstick Test Results.
201519
11 201016
12 201315
13 201015
14 202014
15 201614
16 201113
17 200911
18 201711
19 201111
20 200910

About Sollip Kim

Sollip Kim is a scholar working on Physiology, Statistics, Probability and Uncertainty, Molecular Biology, Epidemiology and Pediatrics, Perinatology and Child Health, having authored 95 papers that have together received 733 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (17 papers), Clinical Laboratory Practices and Quality Control (16 papers), Statistical Methods in Clinical Trials (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Pharmaceutical studies and practices (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Healthcare Policy and Management (3 papers) and Vitamin D Research Studies (3 papers). The work is most often cited by research in Nephrology (92 citations), Health Informatics (11 citations), Statistics, Probability and Uncertainty (58 citations), Toxicology (24 citations) and Reproductive Medicine (45 citations). Sollip Kim has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Tae Hyun Um, Sail Chun, Won‐Ki Min, Woochang Lee, Young‐Min Park, Tae‐Dong Jeong, Jeonghyun Chang, Heungsup Sung, Jae Hyun Kim and Mi‐Na Kim. Their work appears in journals such as Annals of Laboratory Medicine, Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Korean Medical Science, Clinical Biochemistry and BioMed Research International.

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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