Charles Kwon
Impact in
- Nephrology top 0.5%
- Chronic Kidney Disease and Diabetes
- Acute Kidney Injury Research
- Dialysis and Renal Disease Management
- Gout, Hyperuricemia, Uric Acid
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- Trauma, Hemostasis, Coagulopathy, Resuscitation
Papers in
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- Chronic Kidney Disease and Diabetes 1
- Gout, Hyperuricemia, Uric Acid 1
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- Cannabis and Cannabinoid Research 1
- Co-authors
- Vikas R. Dharnidharka (2 shared papers)Gary Stevens (1 shared paper)David B. Mount (2 shared papers)Kambiz Zandi‐Nejad (2 shared papers)Arno Zaritsky (1 shared paper)Tsutomu Nakada (1 shared paper)Shigehisa Hirose (1 shared paper)H Kudo (1 shared paper)
- Journals
- American Journal of Kidney Diseases (1 paper)Pediatric Nephrology (1 paper)American Journal of Physiology-Regulatory, Integrative and Comparative Physiology (1 paper)Rheumatic Disease Clinics of North America (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Charles Kwon
4 papers receiving 1.4k citations
Charles Kwon's Hit Papers
Peers
Comparison fields: 5 of 96
- Nephrology 840
- Critical Care and Intensive Care Medicine 47
- Transplantation 26
- Cardiology and Cardiovascular Medicine 113
- Toxicology 18
Countries citing papers authored by Charles Kwon
This map shows the geographic impact of Charles Kwon'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 Charles Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Kwon more than expected).
Fields of papers citing papers by Charles Kwon
This network shows the impact of papers produced by Charles Kwon. 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 Charles Kwon. The network helps show where Charles Kwon may publish in the future.
Co-authors
The 9 scholars most cited alongside Charles Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Serum cystatin C is superior to serum creatinine as a marker of kidney function: A meta-analysis Hit paper breakdown → | 2002 | 1261 |
| 2 | 2006 | 69 | |
| 3 | 2005 | 42 | |
| 4 | 2003 | 22 |
About Charles Kwon
Charles Kwon is a scholar working on Nephrology, Pharmacology, Pathology and Forensic Medicine, Aquatic Science and Pediatrics, Perinatology and Child Health, having authored 4 papers that have together received 1.4k indexed citations. Recurring topics across this work include Poisoning and overdose treatments (1 paper), Alcohol Consumption and Health Effects (1 paper), Cannabis and Cannabinoid Research (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Metabolism and Genetic Disorders (1 paper), Gout, Hyperuricemia, Uric Acid (1 paper), Birth, Development, and Health (1 paper) and Physiological and biochemical adaptations (1 paper). The work is most often cited by research in Nephrology (840 citations), Critical Care and Intensive Care Medicine (47 citations), Transplantation (26 citations), Cardiology and Cardiovascular Medicine (113 citations) and Toxicology (18 citations). Charles Kwon has collaborated with scholars based in United States and Japan. Frequent co-authors include Vikas R. Dharnidharka, Gary Stevens, David B. Mount, Kambiz Zandi‐Nejad, Arno Zaritsky, Tsutomu Nakada, Shigehisa Hirose, H Kudo and Adriana Mercado. Their work appears in journals such as American Journal of Kidney Diseases, Pediatric Nephrology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Rheumatic Disease Clinics of North America.
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.