Kwan E. Kim
Impact in
- Nephrology top 5%
- Dialysis and Renal Disease Management
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- Blood Pressure and Hypertension Studies
- Cardiac electrophysiology and arrhythmias
Papers in
-
- Analytical Methods in Pharmaceuticals 5
-
- Antibiotics Pharmacokinetics and Efficacy 2
- Pharmacology and Obesity Treatment 2
- Co-authors
- Charles D. Swartz (15 shared papers)Gaddo Onesti (11 shared papers)Albert N. Brest (4 shared papers)Martin S. Neff (2 shared papers)VIRGILIO PAZ-MARTINEZ (3 shared papers)Allan B. Schwartz (3 shared papers)Robert H. Seller (3 shared papers)José L. Cangiano (1 shared paper)
- Journals
- CHEST Journal (3 papers)Circulation Research (3 papers)The Journal of Clinical Pharmacology (2 papers)New England Journal of Medicine (2 papers)The American Journal of Cardiology (2 papers)
- Partner nations
- United States
In The Last Decade
Kwan E. Kim
18 papers receiving 669 citations
Peers
Comparison fields: 5 of 80
- Nephrology 207
- Cardiology and Cardiovascular Medicine 275
- Hematology 99
- Anesthesiology and Pain Medicine 42
- Nutrition and Dietetics 117
Countries citing papers authored by Kwan E. Kim
This map shows the geographic impact of Kwan E. 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 Kwan E. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwan E. Kim more than expected).
Fields of papers citing papers by Kwan E. Kim
This network shows the impact of papers produced by Kwan E. 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 Kwan E. Kim. The network helps show where Kwan E. Kim may publish in the future.
Co-authors
The 18 scholars most cited alongside Kwan E. 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
| # | Work | ||
|---|---|---|---|
| 1 | 1971 | 182 | |
| 2 | 1970 | 144 | |
| 3 | 1971 | 108 | |
| 4 | 1969 | 95 | |
| 5 | 1971 | 79 | |
| 6 | 1967 | 73 | |
| 7 | 1972 | 55 | |
| 8 | 1973 | 40 | |
| 9 | 1978 | 25 | |
| 10 | 1978 | 20 | |
| 11 | 1983 | 15 | |
| 12 | 1970 | 14 | |
| 13 | 1983 | 7 | |
| 14 | 1971 | 6 | |
| 15 | 1983 | 4 | |
| 16 | 1970 | 3 | |
| 17 | 1978 | 3 | |
| 18 | 1966 | 2 |
About Kwan E. Kim
Kwan E. Kim is a scholar working on Analytical Chemistry, Pharmacology, Cardiology and Cardiovascular Medicine, Anesthesiology and Pain Medicine and Nephrology, having authored 18 papers that have together received 875 indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (5 papers), Blood Pressure and Hypertension Studies (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Magnesium in Health and Disease (2 papers), Ion channel regulation and function (2 papers), Pharmacology and Obesity Treatment (2 papers), Anesthesia and Sedative Agents (2 papers) and Eicosanoids and Hypertension Pharmacology (1 paper). The work is most often cited by research in Nephrology (207 citations), Cardiology and Cardiovascular Medicine (275 citations), Hematology (99 citations), Anesthesiology and Pain Medicine (42 citations) and Nutrition and Dietetics (117 citations). Kwan E. Kim has collaborated with scholars based in United States. Frequent co-authors include Charles D. Swartz, Gaddo Onesti, Albert N. Brest, Martin S. Neff, VIRGILIO PAZ-MARTINEZ, Allan B. Schwartz, Robert H. Seller, José L. Cangiano, Alan B. Schwartz and Lionel U. Mailloux. Their work appears in journals such as CHEST Journal, Circulation Research, The Journal of Clinical Pharmacology, New England Journal of Medicine and The American Journal of Cardiology.
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.