Sollip Kim
Impact in
- Nephrology top 5%
- Acute Kidney Injury Research
- Gout, Hyperuricemia, Uric Acid
Papers in
- Physiology 16
- Clinical Laboratory Practices and Quality Control 13
- Co-authors
- Sail Chun (33 shared papers)Tae Hyun Um (21 shared papers)Won‐Ki Min (22 shared papers)Woochang Lee (24 shared papers)Young‐Min Park (2 shared papers)Jeonghyun Chang (17 shared papers)Tae‐Dong Jeong (11 shared papers)Heungsup Sung (4 shared papers)
- Journals
- Annals of Laboratory Medicine (17 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (9 papers)BioMed Research International (3 papers)Journal of Korean Medical Science (3 papers)Clinical Biochemistry (3 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Sollip Kim
89 papers receiving 745 citations
Peers
Comparison fields: 5 of 114
- Nephrology 83
- Health Informatics 10
- Toxicology 20
- Reproductive Medicine 47
- Transplantation 11
Countries citing papers authored by Sollip Kim
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
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.
All Works
Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 45 | |
| 2 | 2019 | 43 | |
| 3 | 2012 | 42 | |
| 4 | 2017 | 40 | |
| 5 | 2016 | 36 | |
| 6 | 2009 | 33 | |
| 7 | 2014 | 29 | |
| 8 | 2012 | 25 | |
| 9 | 2012 | 20 | |
| 10 | Influence of Vitamin C on Urine Dipstick Test Results. | 2015 | 19 |
| 11 | 2010 | 16 | |
| 12 | 2013 | 15 | |
| 13 | 2010 | 15 | |
| 14 | 2020 | 14 | |
| 15 | 2016 | 14 | |
| 16 | 2024 | 13 | |
| 17 | 2011 | 13 | |
| 18 | 2011 | 12 | |
| 19 | 2009 | 12 | |
| 20 | 2009 | 11 |
About Sollip Kim
Sollip Kim is a scholar working on Physiology, Molecular Biology, Epidemiology, Statistics, Probability and Uncertainty and Infectious Diseases, having authored 97 papers that have together received 761 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (13 papers), Meta-analysis and systematic reviews (9 papers), Pharmacogenetics and Drug Metabolism (5 papers), Pharmaceutical studies and practices (4 papers), Biosensors and Analytical Detection (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), ZnO doping and properties (3 papers) and Acute Kidney Injury Research (3 papers). The work is most often cited by research in Nephrology (83 citations), Health Informatics (10 citations), Toxicology (20 citations), Reproductive Medicine (47 citations) and Transplantation (11 citations). Sollip Kim has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Sail Chun, Tae Hyun Um, Won‐Ki Min, Woochang Lee, Young‐Min Park, Jeonghyun Chang, Tae‐Dong Jeong, Heungsup Sung, Mi‐Na Kim and Jae Hyun Kim. Their work appears in journals such as Annals of Laboratory Medicine, Clinical Chemistry and Laboratory Medicine (CCLM), BioMed Research International, Journal of Korean Medical Science 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.