Ken Omata

103 papers receiving 1.6k citations

Peers

Ken Omata
Comparison fields: 5 of 87
  • Biochemistry 410
  • Endocrinology, Diabetes and Metabolism 571
  • Cardiology and Cardiovascular Medicine 661
  • Nephrology 127
  • Genetics 160
Replace Harold D. Itskovitz with:
Harold D. Itskovitz United States
Kazuoki Kondo Japan
Milton Mendlowitz United States
A. Kurtz Germany
John Quilley United States
R. F. Bing United Kingdom
Huifang Cheng United States
Yumiko Shibouta Japan
David H. Sigmon United States
Luděk Červenka Czechia
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Citations per field
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Citations per year

Countries citing papers authored by Ken Omata

Since Specialization
Citations

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

Fields of papers citing papers by Ken Omata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997141
2 1992104
3 199393
4 199289
5 198282
6 199358
7 198054
8 198545
9 199841
10 200241
11 200336
12
Function of angiotensin II type 2 receptor in the postglomerular efferent arteriole.
199733
13
Therapeutic advantages of angiotensin converting enzyme inhibitors in chronic renal disease.
199632
14
Diverse effects of calcium antagonists on glomerular hemodynamics.
199631
15 198329
16 199528
17 200128
18 198625
19 199524
20 199624

About Ken Omata

Ken Omata is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Molecular Biology, Pharmacology and Pulmonary and Respiratory Medicine, having authored 107 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (34 papers), Renin-Angiotensin System Studies (23 papers), Eicosanoids and Hypertension Pharmacology (21 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (18 papers), Electrolyte and hormonal disorders (17 papers), Inflammatory mediators and NSAID effects (13 papers), Nitric Oxide and Endothelin Effects (12 papers) and Ion Transport and Channel Regulation (11 papers). The work is most often cited by research in Biochemistry (410 citations), Endocrinology, Diabetes and Metabolism (571 citations), Cardiology and Cardiovascular Medicine (661 citations), Nephrology (127 citations) and Genetics (160 citations). Ken Omata has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Sadayoshi Ito, Michal L. Schwartzman, Kazuo Tsunoda, Keishi Abe, Nader G. Abraham, Shuji Arima, KAORU YOSHINAGA, Yutaka Imai, K. Abe and Bruno Escalante. Their work appears in journals such as Journal of Hypertension, Kidney International, Hypertension, American Journal of Physiology-Renal Physiology and Advances in experimental medicine and biology.

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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