Hideya Saito

3.2k citations
135 papers · 2.8k · h-index 29

Impact in

Papers in

Hideya Saito

130 papers receiving 2.7k citations

Peers

Hideya Saito
Comparison fields: 5 of 123
  • Cellular and Molecular Neuroscience 813
  • Behavioral Neuroscience 132
  • Endocrine and Autonomic Systems 227
  • Neurology 267
  • Physiology 658
Replace Hiromu Kawasaki with:
Hiromu Kawasaki Japan
Ronald J. Polinsky United States
S. Spector United States
Gertrude M. Tyce United States
Sophie Sarre Belgium
André Barbeau Canada
Kôzô Okamoto Japan
Kyuzo Aoki Japan
Anil Gulati United States
G. Hertting Germany
Hideya Saito relative to Hiromu Kawasaki Japan Hiromu Kawasaki's profile →
Citations per field
00.5×2.5×
Hiromu Kawasaki · 1×
Citations per year

Countries citing papers authored by Hideya Saito

Since Specialization
Citations

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

Fields of papers citing papers by Hideya Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992344
2 1995133
3 1997116
4 2003105
5 200299
6 200086
7 199881
8 199681
9 199877
10 199664
11 199463
12 199558
13 199553
14 199650
15 199248
16 199746
17 200245
18 199445
19 199837
20 199536

About Hideya Saito

Hideya Saito is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Surgery and Cardiology and Cardiovascular Medicine, having authored 135 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (25 papers), Receptor Mechanisms and Signaling (22 papers), Neurotransmitter Receptor Influence on Behavior (20 papers), Nitric Oxide and Endothelin Effects (13 papers), Biochemical effects in animals (11 papers), Neuropeptides and Animal Physiology (11 papers), Eicosanoids and Hypertension Pharmacology (11 papers) and Stress Responses and Cortisol (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (813 citations), Behavioral Neuroscience (132 citations), Endocrine and Autonomic Systems (227 citations), Neurology (267 citations) and Physiology (658 citations). Hideya Saito has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Hiroko Togashi, Mitsuhiro Yoshioka, Machiko Matsumoto, Masaru Minami, Hisakazu Yasuda, Kiyoshi Mori, Mitsuru Matsumoto, Takeshi Kobayashi, Mamoru Tamura and Ichiro Sakuma. Their work appears in journals such as Life Sciences, European Journal of Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Clinical and Experimental Pharmacology and Physiology and Brain Research.

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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