Mitsuru Notoya

640 citations
31 papers · 531 · h-index 13

Impact in

Papers in

    • Receptor Mechanisms and Signaling 4
    • Protein Kinase Regulation and GTPase Signaling 3
    • Molecular Biology Techniques and Applications 3
    • Adipose Tissue and Metabolism 3
    • Nitric Oxide and Endothelin Effects 2

Mitsuru Notoya

31 papers receiving 528 citations

Peers

Mitsuru Notoya
Comparison fields: 5 of 85
  • Structural Biology 9
  • Nephrology 40
  • Endocrine and Autonomic Systems 30
  • Immunology and Allergy 25
  • Biochemistry 31
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Mitsuru Notoya relative to Sadaharu Higuchi Japan Sadaharu Higuchi's profile →
Citations per field
00.5×
Sadaharu Higuchi · 1×
Citations per year

Countries citing papers authored by Mitsuru Notoya

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuru Notoya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002136
2 200348
3 199038
4 199633
5 200331
6 200124
7 199624
8 201523
9 199420
10 199016
11 200213
12 200913
13 202013
14 199912
15 199812
16 200010
17 19979
18 19988
19 20108
20 19968

About Mitsuru Notoya

Mitsuru Notoya is a scholar working on Molecular Biology, Physiology, Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 531 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Renal and Vascular Pathologies (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Molecular Biology Techniques and Applications (3 papers), Adipose Tissue and Metabolism (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Electron Spin Resonance Studies (2 papers). The work is most often cited by research in Structural Biology (9 citations), Nephrology (40 citations), Endocrine and Autonomic Systems (30 citations), Immunology and Allergy (25 citations) and Biochemistry (31 citations). Mitsuru Notoya has collaborated with scholars based in Japan, United States and South Africa. Frequent co-authors include Vinci Mizuhira, Kohji Hanasaki, Yoshikazu Ishimoto, Katsutoshi Yamada, Shigenori Yamamoto, Hiroshi Hasegawa, Hitoshi Arita, Hiroshi Hasegawa, Akihiko Saiga and Takashi Ono. Their work appears in journals such as Nephron Experimental Nephrology, Kidney International, Hypertension, Journal of Molluscan Studies and British Journal of Pharmacology.

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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