Jun-Ichi Kaide

507 citations
10 papers · 440 · h-index 7

Impact in

Papers in

Jun-Ichi Kaide

10 papers receiving 425 citations

Peers

Jun-Ichi Kaide
Comparison fields: 5 of 54
  • Biochemistry 91
  • Endocrine and Autonomic Systems 69
  • Pediatrics, Perinatology and Child Health 90
  • Molecular Biology 314
  • Pathology and Forensic Medicine 75
Replace Eric M. Sikorski with:
Eric M. Sikorski United States
Philip Yu An Ding Taiwan
Catherine Vernimmen France
Alexandra M. Hopwood United Kingdom
Dzmitry Matsiukevich United States
Nina Lane Canada
Bożena Bądzyńska Poland
W. N. Suki United States
N. Virginia Ragsdale United States
Daniela Dietze‐Schroeder Germany
Jun-Ichi Kaide relative to Eric M. Sikorski United States Eric M. Sikorski's profile →
Citations per field
00.5×2×3×3.8×
Eric M. Sikorski · 1×
Citations per year

Countries citing papers authored by Jun-Ichi Kaide

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun-Ichi Kaide Line = papers co-authored together Jun-Ichi Kaide links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2001163
2 200286
3 200174
4 200337
5 200432
6 199931
7 199812
8 20002
9
Effects of manidipine on renal sodium and calcium handling in patients with mild essential hypertension
19932
10 20001

About Jun-Ichi Kaide

Jun-Ichi Kaide is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Pharmacology and Pathology and Forensic Medicine, having authored 10 papers that have together received 440 indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (5 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Hormonal Regulation and Hypertension (3 papers), Alcohol Consumption and Health Effects (2 papers), Neuroscience of respiration and sleep (2 papers), Renin-Angiotensin System Studies (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Hemoglobin structure and function (1 paper). The work is most often cited by research in Biochemistry (91 citations), Endocrine and Autonomic Systems (69 citations), Pediatrics, Perinatology and Child Health (90 citations), Molecular Biology (314 citations) and Pathology and Forensic Medicine (75 citations). Jun-Ichi Kaide has collaborated with scholars based in United States and Japan. Frequent co-authors include Alberto Nasjletti, Yuan Wei, Houli Jiang, Fan Zhang, Michael Balazy, Nader G. Abraham, Changhua Yu, Wenhui Wang, Wen‐Hui Wang and Hong Li. Their work appears in journals such as Hypertension, American Journal of Physiology-Heart and Circulatory Physiology, American Journal of Physiology-Renal Physiology, 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.

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