Mami Ojima

543 citations
10 papers · 471 indexed · h-index 8

Impact in

Papers in

Mami Ojima

10 papers receiving 439 citations

Peers

Mami Ojima
Comparison fields: 5 of 71
  • Cardiology and Cardiovascular Medicine 272
  • Endocrinology, Diabetes and Metabolism 171
  • Organic Chemistry 99
  • Molecular Biology 152
  • Pharmacology 36
Replace Hideki Igata with:
Hideki Igata Japan
Thomas L. Waldron United States
P C Wong United States
Takanobu Kuroita Japan
Jack M. DeForrest United States
Tsukasa Sanada Japan
Michael E. Beil Switzerland
Alain Roccon France
Shiro Shirakura Japan
Piero Melloni Italy
Mami Ojima relative to Hideki Igata Japan Hideki Igata's profile →
Citations per field
00.5×1.5×1.9×
Hideki Igata · 1×
Citations per year

Countries citing papers authored by Mami Ojima

Since Specialization
Citations

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

Fields of papers citing papers by Mami Ojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Mami 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 Mami Ojima Line = papers co-authored together Mami Ojima links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2010122
2 1997122
3 1993111
4 201145
5 199427
6 199615
7 199614
8 199712
9
Angiotensin II receptor antagonistic action of candesartan (CV-11974) in the rabbit aorta
19962
10 20191

About Mami Ojima

Mami Ojima is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Organic Chemistry, having authored 10 papers that have together received 471 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (6 papers), Renin-Angiotensin System Studies (5 papers), Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper), Protein Hydrolysis and Bioactive Peptides (1 paper), Innovative concrete reinforcement materials (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (272 citations), Endocrinology, Diabetes and Metabolism (171 citations), Organic Chemistry (99 citations), Molecular Biology (152 citations) and Pharmacology (36 citations). Mami Ojima has collaborated with scholars based in Japan. Frequent co-authors include Keiji Kubo, Yoshiyuki Inada, Kohei Nishikawa, Takeo Wada, Tsukasa Sanada, Yumiko Shibouta, Yasuhisa Kohara, Hideaki Nagaya, Hiroki Sakamoto and Hideki Igata. Their work appears in journals such as European Journal of Pharmacology, Hypertension Research, Journal of Pharmacology and Experimental Therapeutics, Journal of Medicinal Chemistry 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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