Kei Kamide

10.5k citations
239 papers · 5.8k · h-index 41

Impact in

Papers in

Kei Kamide

235 papers receiving 5.7k citations

Peers

Kei Kamide
Comparison fields: 5 of 143
  • Nephrology 594
  • Cardiology and Cardiovascular Medicine 1.5k
  • Neuropsychology and Physiological Psychology 80
  • Endocrinology, Diabetes and Metabolism 732
  • Complementary and Manual Therapy 88
Replace Jun Hata with:
Jun Hata Japan
Ken Sugimoto Japan
Jerzy Chudek Poland
Katsuya Iijima Japan
Giovannella Baggio Italy
Hajime Orimo Japan
Koji Tamakoshi Japan
Kurt Boman Sweden
Mitsuru Ohishi Japan
Masayuki Yokode Japan
Kei Kamide relative to Jun Hata Japan Jun Hata's profile →
Citations per field
00.5×10×
Jun Hata · 1×
Citations per year

Countries citing papers authored by Kei Kamide

Since Specialization
Citations

This map shows the geographic impact of Kei Kamide'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 Kei Kamide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kei Kamide more than expected).

Fields of papers citing papers by Kei Kamide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kei Kamide. 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 Kei Kamide. The network helps show where Kei Kamide may publish in the future.

Co-authors

The 25 scholars most cited alongside Kei Kamide, 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 Kei Kamide Line = papers co-authored together Kei Kamide links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 239 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002315
2 2011270
3 2013191
4 2008129
5 2012117
6 2004108
7 2019105
8 2005100
9 201295
10 201095
11 201494
12 200292
13 200591
14 200987
15 201287
16 201180
17 200279
18 200377
19 201576
20 201765

About Kei Kamide

Kei Kamide is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Pulmonary and Respiratory Medicine and Physiology, having authored 239 papers that have together received 5.8k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (37 papers), Hormonal Regulation and Hypertension (30 papers), Renin-Angiotensin System Studies (19 papers), Cardiovascular Health and Disease Prevention (19 papers), Renal and Vascular Pathologies (14 papers), Heart Rate Variability and Autonomic Control (11 papers), Health disparities and outcomes (11 papers) and Nutrition and Health in Aging (10 papers). The work is most often cited by research in Nephrology (594 citations), Cardiology and Cardiovascular Medicine (1.5k citations), Neuropsychology and Physiological Psychology (80 citations), Endocrinology, Diabetes and Metabolism (732 citations) and Complementary and Manual Therapy (88 citations). Kei Kamide has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Yuhei Kawano, Hiromi Rakugi, Mitsuru Ohishi, Takeshi Horio, Shin Takiuchi, Toshiyuki Miyata, Fumiki Yoshihara, Satoko Nakamura, Ada Congrains and Yoshihiro Kokubo. Their work appears in journals such as Hypertension Research, Geriatrics and gerontology international, American Journal of Hypertension, Journal of Hypertension and BMC Geriatrics.

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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