Jun-Ichi Kaide
Impact in
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology
Papers in
-
- Heme Oxygenase-1 and Carbon Monoxide 6
- Connexins and lens biology 1
-
- Eicosanoids and Hypertension Pharmacology 4
- Co-authors
- Alberto Nasjletti (7 shared papers)Yuan Wei (3 shared papers)Fan Zhang (4 shared papers)Michael Balazy (4 shared papers)Houli Jiang (4 shared papers)Changhua Yu (2 shared papers)Nader G. Abraham (2 shared papers)Wenhui Wang (1 shared paper)
- Journals
- Hypertension (4 papers)American Journal of Physiology-Heart and Circulatory Physiology (2 papers)Journal of Clinical Investigation (1 paper)Hypertension Research (1 paper)American Journal of Hypertension (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Jun-Ichi Kaide
10 papers receiving 378 citations
Peers
Comparison fields: 5 of 56
- Endocrine and Autonomic Systems 66
- Biochemistry 67
- Molecular Biology 309
- Pediatrics, Perinatology and Child Health 87
- Pathology and Forensic Medicine 72
Countries citing papers authored by Jun-Ichi Kaide
This map shows the geographic impact of Jun-Ichi Kaide'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 Jun-Ichi Kaide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Ichi Kaide more than expected).
Fields of papers citing papers by Jun-Ichi Kaide
This network shows the impact of papers produced by Jun-Ichi Kaide. 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 Jun-Ichi Kaide. The network helps show where Jun-Ichi Kaide may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Ichi Kaide, 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 | 2001 | 154 | |
| 2 | 2002 | 81 | |
| 3 | 2001 | 72 | |
| 4 | 1999 | 29 | |
| 5 | 2004 | 29 | |
| 6 | 1998 | 12 | |
| 7 | Effects of manidipine on renal sodium and calcium handling in patients with mild essential hypertension | 1993 | 2 |
| 8 | 2000 | 2 | |
| 9 | 2000 | 2 | |
| 10 | 2000 | 1 |
About Jun-Ichi Kaide
Jun-Ichi Kaide is a scholar working on Molecular Biology, Biochemistry, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 10 papers that have together received 384 indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (6 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Alcohol Consumption and Health Effects (3 papers), Hormonal Regulation and Hypertension (3 papers), Neuroscience of respiration and sleep (2 papers), Connexins and lens biology (1 paper), Renin-Angiotensin System Studies (1 paper) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (66 citations), Biochemistry (67 citations), Molecular Biology (309 citations), Pediatrics, Perinatology and Child Health (87 citations) and Pathology and Forensic Medicine (72 citations). Jun-Ichi Kaide has collaborated with scholars based in United States and Japan. Frequent co-authors include Alberto Nasjletti, Yuan Wei, Fan Zhang, Michael Balazy, Houli Jiang, Changhua Yu, Nader G. Abraham, Wenhui Wang, Wen‐Hui Wang and Hong Li. Their work appears in journals such as Hypertension, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Clinical Investigation, Hypertension Research and American Journal of Hypertension.
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.