Yorio Kimura

1.1k citations
35 papers · 846 · h-index 15

Impact in

Papers in

Yorio Kimura

34 papers receiving 806 citations

Peers

Yorio Kimura
Comparison fields: 5 of 67
  • Cardiology and Cardiovascular Medicine 364
  • Nephrology 98
  • Endocrinology, Diabetes and Metabolism 115
  • Internal Medicine 19
  • Neurology 71
Replace Jenny Cross with:
Jenny Cross United Kingdom
Ahmet Toprak Türkiye
Luigi Lusiani Italy
R. J. Weir United Kingdom
Jan Bruthans Czechia
Miyako Matsuo Japan
Enza Fommei Italy
Nobuyuki Kawazoe Japan
Florin Mitu Romania
D. Duprez Belgium
Yorio Kimura relative to Jenny Cross United Kingdom Jenny Cross's profile →
Citations per field
00.5×4.7×
Jenny Cross · 1×
Citations per year

Countries citing papers authored by Yorio Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Yorio Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993183
2 200075
3 200269
4 199962
5 199852
6 199245
7 199842
8 199942
9 200033
10 200030
11 199826
12 198621
13 199620
14 200217
15 199917
16 200011
17 198811
18 198611
19
Long-term prognosis of malignant hypertension; difference between underlying diseases such as essential hypertension and chronic glomerulonephritis.
198811
20 19879

About Yorio Kimura

Yorio Kimura is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Nutrition and Dietetics and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 846 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (10 papers), Hormonal Regulation and Hypertension (7 papers), Heart Rate Variability and Autonomic Control (6 papers), Sodium Intake and Health (5 papers), Renin-Angiotensin System Studies (5 papers), Nutritional Studies and Diet (4 papers), Acute Ischemic Stroke Management (4 papers) and Cardiovascular Health and Disease Prevention (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (364 citations), Nephrology (98 citations), Endocrinology, Diabetes and Metabolism (115 citations), Internal Medicine (19 citations) and Neurology (71 citations). Yorio Kimura has collaborated with scholars based in Japan and United States. Frequent co-authors include Koshiro Fukiyama, Hiromi Muratani, Kunitoshi Iseki, Kiyoshi Wakugami, Shuichi Takishita, Yuhei Kawano, Koichiro Okumura, Kunitoshi Iseki, Jun Fujii and Teruo Omae. Their work appears in journals such as Hypertension Research, Clinical and Experimental Hypertension, Hypertension, Kidney International and Journal of Human 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.

Explore authors with similar magnitude of impact