Hidehiko Ono

2.1k citations
57 papers · 1.8k · h-index 25

Impact in

Papers in

Hidehiko Ono

57 papers receiving 1.8k citations

Peers

Hidehiko Ono
Comparison fields: 5 of 98
  • Nephrology 298
  • Cardiology and Cardiovascular Medicine 780
  • Endocrinology, Diabetes and Metabolism 434
  • Biochemistry 115
  • Physiology 316
Replace Thomas Quaschning with:
Thomas Quaschning Germany
Ulla G. Friis Denmark
Masahito Imanishi Japan
Laine J. Murphey United States
Agnes Fogo United States
Kazuhisa Takeuchi Japan
A. Kurtz Germany
Francisco J. Fenoy Spain
Shuji Arima Japan
G. H. Williams United States
Hidehiko Ono relative to Thomas Quaschning Germany Thomas Quaschning's profile →
Citations per field
00.5×1.6×
Thomas Quaschning · 1×
Citations per year

Countries citing papers authored by Hidehiko Ono

Since Specialization
Citations

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

Fields of papers citing papers by Hidehiko Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003193
2 1996173
3 200484
4 199583
5 199580
6 200677
7 200266
8 199664
9 200458
10 200658
11 199855
12 199948
13 199946
14 199646
15 200145
16 199144
17 200738
18 200737
19 199437
20 200131

About Hidehiko Ono

Hidehiko Ono is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Nephrology, Physiology and Cellular and Molecular Neuroscience, having authored 57 papers that have together received 1.8k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (18 papers), Hormonal Regulation and Hypertension (14 papers), Blood Pressure and Hypertension Studies (11 papers), Nitric Oxide and Endothelin Effects (9 papers), Chronic Kidney Disease and Diabetes (8 papers), Neuropeptides and Animal Physiology (8 papers), Eicosanoids and Hypertension Pharmacology (7 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Nephrology (298 citations), Cardiology and Cardiovascular Medicine (780 citations), Endocrinology, Diabetes and Metabolism (434 citations), Biochemistry (115 citations) and Physiology (316 citations). Hidehiko Ono has collaborated with scholars based in Japan and United States. Frequent co-authors include Edward D. Fröhlich, Yuko Ono, Hiroaki Matsuoka, Toshihiko Ishimitsu, Junichi Minami, Xiaoyan Zhou, Masami Ohrui, Mayumi Saito, Annette M. Von Thun and Anka Hymel. Their work appears in journals such as Hypertension, Journal of Hypertension, Hypertension Research, American Journal of Kidney Diseases and American Journal of Nephrology.

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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