M Ojima

452 citations
9 papers · 409 · h-index 6

Impact in

Papers in

M Ojima

9 papers receiving 389 citations

Peers

M Ojima
Comparison fields: 5 of 63
  • Cardiology and Cardiovascular Medicine 302
  • Endocrinology, Diabetes and Metabolism 166
  • Molecular Biology 167
  • Pharmacology 41
  • Biochemistry 15
Replace Tsukasa Sanada with:
Tsukasa Sanada Japan
P. F. Mento United States
Tetsuhiro Kubota Japan
Estrellita Uijl Netherlands
A. Augusto Peluso Brazil
Kumiko Shiono Japan
Verónica Celeste De Giusti Argentina
P C Wong United States
Rita Schmitt Switzerland
Barbara Albrecht‐Küpper Germany
M Ojima relative to Tsukasa Sanada Japan Tsukasa Sanada's profile →
Citations per field
00.5×1.5×
Tsukasa Sanada · 1×
Citations per year

Countries citing papers authored by M Ojima

Since Specialization
Citations

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

Fields of papers citing papers by M Ojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 1993200
2 199791
3 199467
4 199919
5
Pharmacological profile of a novel nonpeptide angiotensin II subtype 1 receptor antagonist, TCV-116.
199414
6
Effects of delapril on stroke, kidney dysfunction and cardiac hypertrophy in stroke-prone spontaneously hypertensive rats.
19959
7 19944
8
Delapril prevents stroke, renal dysfunction and cardiac hypertrophy in stroke-prone spontaneously hypertensive rats
19903
9 19972

About M Ojima

M Ojima is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Molecular Biology, Organic Chemistry and Computational Theory and Mathematics, having authored 9 papers that have together received 409 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (4 papers), Renin-Angiotensin System Studies (4 papers), Hormonal Regulation and Hypertension (4 papers), Computational Drug Discovery Methods (2 papers), Synthesis of Tetrazole Derivatives (2 papers), Receptor Mechanisms and Signaling (2 papers), Analytical Methods in Pharmaceuticals (1 paper) and Quinazolinone synthesis and applications (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (302 citations), Endocrinology, Diabetes and Metabolism (166 citations), Molecular Biology (167 citations), Pharmacology (41 citations) and Biochemistry (15 citations). M Ojima has collaborated with scholars based in Japan. Frequent co-authors include Yumiko Shibouta, Takehiko Naka, Yasuhiro Inada, Keiji Kubo, Takeo Wada, Tsukasa Sanada, Yasuhisa Kohara, Kohei Nishikawa, Makoto Noda and Takao Wada. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Bioorganic & Medicinal Chemistry Letters, Journal of Human Hypertension, Clinical and Experimental Hypertension and The Japanese 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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