Kwan Eun Kim
Impact in
- Nephrology top 10%
- Dialysis and Renal Disease Management
-
- Blood Pressure and Hypertension Studies
- Heart Rate Variability and Autonomic Control
- Renin-Angiotensin System Studies
Papers in
-
- Blood Pressure and Hypertension Studies 4
- Renin-Angiotensin System Studies 1
- Co-authors
- G Onesti (6 shared papers)Charles Swartz (4 shared papers)Michael Fernandes (3 shared papers)Samuel Bellet (1 shared paper)Alfred Kershbaum (1 shared paper)Laurian Roman (1 shared paper)Allan B. Schwartz (1 shared paper)Joel L. Chinitz (1 shared paper)
- Journals
- The American Journal of Cardiology (2 papers)Life Sciences (2 papers)Circulation (1 paper)Metabolism (1 paper)Medical Entomology and Zoology (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Kwan Eun Kim
7 papers receiving 329 citations
Peers
Comparison fields: 5 of 79
- Nephrology 62
- Cardiology and Cardiovascular Medicine 120
- Pharmacology 56
- Endocrinology, Diabetes and Metabolism 53
- Biochemistry 18
Countries citing papers authored by Kwan Eun Kim
This map shows the geographic impact of Kwan Eun 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 Eun 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 Eun Kim more than expected).
Fields of papers citing papers by Kwan Eun Kim
This network shows the impact of papers produced by Kwan Eun 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 Eun Kim. The network helps show where Kwan Eun Kim may publish in the future.
Co-authors
The 12 scholars most cited alongside Kwan Eun 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 | 1969 | 95 | |
| 2 | 1972 | 75 | |
| 3 | 1971 | 68 | |
| 4 | Regulation of blood pressure by the central nervous system | 1976 | 58 |
| 5 | 1971 | 49 | |
| 6 | 1976 | 19 | |
| 7 | 1977 | 7 |
About Kwan Eun Kim
Kwan Eun Kim is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Molecular Biology, Nephrology and Pharmacology, having authored 7 papers that have together received 371 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (4 papers), Renin-Angiotensin System Studies (1 paper), Analytical Methods in Pharmaceuticals (1 paper), Anesthesia and Sedative Agents (1 paper), Hormonal Regulation and Hypertension (1 paper), Ion Transport and Channel Regulation (1 paper), Diet and metabolism studies (1 paper) and Eicosanoids and Hypertension Pharmacology (1 paper). The work is most often cited by research in Nephrology (62 citations), Cardiology and Cardiovascular Medicine (120 citations), Pharmacology (56 citations), Endocrinology, Diabetes and Metabolism (53 citations) and Biochemistry (18 citations). Kwan Eun Kim has collaborated with scholars based in United States and Germany. Frequent co-authors include G Onesti, Charles Swartz, Michael Fernandes, Samuel Bellet, Alfred Kershbaum, Laurian Roman, Allan B. Schwartz, Joel L. Chinitz, Klaus Dietrich Bock and John H. Moyer. Their work appears in journals such as The American Journal of Cardiology, Life Sciences, Circulation, Metabolism and Medical Entomology and Zoology.
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.