Mami Ojima

543 total citations
10 papers, 471 citations indexed

About

Mami Ojima is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mami Ojima has authored 10 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Molecular Biology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mami Ojima's work include Hormonal Regulation and Hypertension (6 papers), Renin-Angiotensin System Studies (5 papers) and Receptor Mechanisms and Signaling (4 papers). Mami Ojima is often cited by papers focused on Hormonal Regulation and Hypertension (6 papers), Renin-Angiotensin System Studies (5 papers) and Receptor Mechanisms and Signaling (4 papers). Mami Ojima collaborates with scholars based in Japan. Mami Ojima's co-authors include Keiji Kubo, Yoshiyuki Inada, Kohei Nishikawa, Tsukasa Sanada, Takeo Wada, Yumiko Shibouta, Yasuhisa Kohara, Keiji Kusumoto, Takanobu Kuroita and Hideki Igata and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and European Journal of Pharmacology.

In The Last Decade

Mami Ojima

10 papers receiving 439 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mami Ojima Japan 8 272 171 152 99 36 10 471
Hideki Igata Japan 8 235 0.9× 90 0.5× 196 1.3× 112 1.1× 24 0.7× 15 511
Takanobu Kuroita Japan 12 142 0.5× 112 0.7× 235 1.5× 121 1.2× 47 1.3× 27 530
P C Wong United States 8 343 1.3× 181 1.1× 294 1.9× 86 0.9× 42 1.2× 10 579
Thomas L. Waldron United States 12 190 0.7× 91 0.5× 177 1.2× 117 1.2× 33 0.9× 25 473
Tsukasa Sanada Japan 9 345 1.3× 197 1.2× 215 1.4× 35 0.4× 45 1.3× 13 491
Alain Roccon France 10 254 0.9× 96 0.6× 169 1.1× 82 0.8× 21 0.6× 21 454
Jack M. DeForrest United States 15 335 1.2× 148 0.9× 293 1.9× 296 3.0× 57 1.6× 35 940
Piero Melloni Italy 16 121 0.4× 127 0.7× 429 2.8× 247 2.5× 58 1.6× 43 725
Shiro Shirakura Japan 10 91 0.3× 67 0.4× 97 0.6× 63 0.6× 47 1.3× 25 339
Michael E. Beil Switzerland 12 144 0.5× 149 0.9× 125 0.8× 32 0.3× 31 0.9× 28 447

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-authorship network of co-authors of Mami Ojima

This figure shows the co-authorship network connecting the top 25 collaborators of Mami Ojima. A scholar is included among the top collaborators of Mami Ojima based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mami Ojima. Mami Ojima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Ojima, Mami, et al.. (2019). EFFECT OF ACCELERATING ADMIXTURE ON EARLY STRENGTH DEVELOPMENT OF BLAST-FURNACE SLAG CEMENT PASTE. Cement Science and Concrete Technology. 72(1). 114–121. 1 indexed citations
2.
Kusumoto, Keiji, Hideki Igata, Mami Ojima, et al.. (2011). Antihypertensive, insulin-sensitising and renoprotective effects of a novel, potent and long-acting angiotensin II type 1 receptor blocker, azilsartan medoxomil, in rat and dog models. European Journal of Pharmacology. 669(1-3). 84–93. 45 indexed citations
3.
Ojima, Mami, Hideki Igata, Masayuki Tanaka, et al.. (2010). In Vitro Antagonistic Properties of a New Angiotensin Type 1 Receptor Blocker, Azilsartan, in Receptor Binding and Function Studies. Journal of Pharmacology and Experimental Therapeutics. 336(3). 801–808. 122 indexed citations
4.
Wada, Takeo, et al.. (1997). Regional Hemodynamic Effects of Candesartan Cilexetil (TCV-116), an Angiotensin II AT1-Receptor Antagonist, in Conscious Spontaneously Hypertensive Rats.. The Japanese Journal of Pharmacology. 73(3). 185–190. 12 indexed citations
5.
Ojima, Mami, Yoshiyuki Inada, Yumiko Shibouta, et al.. (1997). Candesartan (CV-11974) dissociates slowly from the angiotensin AT1 receptor. European Journal of Pharmacology. 319(1). 137–146. 122 indexed citations
6.
Nishikawa, Kohei, Takehiko Naka, Masakuni Noda, et al.. (1996). Angiotensin II receptor antagonistic action of candesartan (CV-11974) in the rabbit aorta. 24(10). 121–126. 2 indexed citations
9.
Wada, Takeo, et al.. (1994). Effect of an angiotensin II receptor antagonist, CV-11974, and its prodrug, TCV-116, on production of aldosterone. European Journal of Pharmacology. 253(1-2). 27–34. 27 indexed citations
10.
Kubo, Keiji, Yoshiyuki Inada, Yasuhisa Kohara, et al.. (1993). Nonpeptide angiotensin II receptor antagonists. Synthesis and biological activity of benzimidazoles. Journal of Medicinal Chemistry. 36(12). 1772–1784. 111 indexed citations

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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