Charles Kwon
Impact in
- Nephrology top 0.5%
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
- Acute Kidney Injury Research
- Renal Diseases and Glomerulopathies
- Gout, Hyperuricemia, Uric Acid
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- Trauma, Hemostasis, Coagulopathy, Resuscitation
Papers in
-
- Gout, Hyperuricemia, Uric Acid 1
- Acute Kidney Injury Research 1
- Co-authors
- Vikas R. Dharnidharka (2 shared papers)Gary Stevens (1 shared paper)Kambiz Zandi‐Nejad (2 shared papers)David B. Mount (2 shared papers)Arno Zaritsky (1 shared paper)H Kudo (1 shared paper)Adriana Mercado (1 shared paper)Shigehisa Hirose (1 shared paper)
- Journals
- Rheumatic Disease Clinics of North America (1 paper)Pediatric Nephrology (1 paper)American Journal of Kidney Diseases (1 paper)American Journal of Physiology-Regulatory, Integrative and Comparative Physiology (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Charles Kwon
4 papers receiving 1.3k citations
Charles Kwon's Hit Papers
Peers
Comparison fields: 5 of 100
- Nephrology 996
- Critical Care and Intensive Care Medicine 74
- Transplantation 33
- Cardiology and Cardiovascular Medicine 245
- Pulmonary and Respiratory Medicine 237
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 | 1253 |
| 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 Metabolism and Genetic Disorders (1 paper), Poisoning and overdose treatments (1 paper), Gout, Hyperuricemia, Uric Acid (1 paper), Acute Kidney Injury Research (1 paper), Alcohol Consumption and Health Effects (1 paper), Birth, Development, and Health (1 paper), Forensic Toxicology and Drug Analysis (1 paper) and Physiological and biochemical adaptations (1 paper). The work is most often cited by research in Nephrology (996 citations), Critical Care and Intensive Care Medicine (74 citations), Transplantation (33 citations), Cardiology and Cardiovascular Medicine (245 citations) and Pulmonary and Respiratory Medicine (237 citations). Charles Kwon has collaborated with scholars based in United States and Japan. Frequent co-authors include Vikas R. Dharnidharka, Gary Stevens, Kambiz Zandi‐Nejad, David B. Mount, Arno Zaritsky, H Kudo, Adriana Mercado, Shigehisa Hirose and Tsutomu Nakada. Their work appears in journals such as Rheumatic Disease Clinics of North America, Pediatric Nephrology, American Journal of Kidney Diseases and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.
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.