Mamiko Kai

2.2k total citations · 2 hit papers
19 papers, 1.7k citations indexed

About

Mamiko Kai is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Mamiko Kai has authored 19 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Molecular Biology and 3 papers in Infectious Diseases. Recurrent topics in Mamiko Kai's work include Cardiac Fibrosis and Remodeling (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Click Chemistry and Applications (2 papers). Mamiko Kai is often cited by papers focused on Cardiac Fibrosis and Remodeling (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Click Chemistry and Applications (2 papers). Mamiko Kai collaborates with scholars based in Japan, Uganda and United States. Mamiko Kai's co-authors include Hisashi Kai, Fumitaka Kuwahara, Tsutomu Imaizumi, Kensuke Egashira, Akira Takeshita, Keisuke Tokuda, Hideo Yasukawa, Kenzo Sugi, T Imaizumi and Takafumi Ueno and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Circulation Research.

In The Last Decade

Mamiko Kai

18 papers receiving 1.7k citations

Hit Papers

Transforming Growth Factor-β Function Blocking Prevents M... 1998 2026 2007 2016 2002 1998 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mamiko Kai Japan 13 672 452 366 296 279 19 1.7k
Lei Gao China 26 333 0.5× 770 1.7× 414 1.1× 294 1.0× 222 0.8× 110 1.8k
Kai Kappert Germany 29 369 0.5× 1.0k 2.2× 275 0.8× 202 0.7× 146 0.5× 98 2.3k
Hideki Oka Japan 18 338 0.5× 692 1.5× 122 0.3× 123 0.4× 127 0.5× 87 1.8k
Giovanni Cimmino Italy 26 725 1.1× 523 1.2× 251 0.7× 151 0.5× 67 0.2× 110 2.1k
Bhanu Kanth Manne United States 21 177 0.3× 529 1.2× 153 0.4× 306 1.0× 551 2.0× 44 1.8k
Stefania Momi Italy 23 466 0.7× 310 0.7× 195 0.5× 202 0.7× 47 0.2× 40 1.9k
Andreas Edsfeldt Sweden 20 293 0.4× 507 1.1× 235 0.6× 90 0.3× 96 0.3× 70 1.5k
Mark Warnock United States 16 146 0.2× 323 0.7× 194 0.5× 102 0.3× 152 0.5× 33 1.4k
Manfred Schuster Austria 23 945 1.4× 835 1.8× 49 0.1× 294 1.0× 553 2.0× 35 2.5k
Éric Frisdal France 26 297 0.4× 467 1.0× 359 1.0× 184 0.6× 117 0.4× 46 1.7k

Countries citing papers authored by Mamiko Kai

Since Specialization
Citations

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

Fields of papers citing papers by Mamiko Kai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamiko Kai

This figure shows the co-authorship network connecting the top 25 collaborators of Mamiko Kai. A scholar is included among the top collaborators of Mamiko Kai 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 Mamiko Kai. Mamiko Kai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
2.
3.
Kai, Hisashi & Mamiko Kai. (2020). Interactions of coronaviruses with ACE2, angiotensin II, and RAS inhibitors—lessons from available evidence and insights into COVID-19. Hypertension Research. 43(7). 648–654. 311 indexed citations
4.
Kai, Hisashi, Hidemi Kajimoto, Mitsuhisa Koga, et al.. (2011). Enhanced cardiac inflammation and fibrosis in ovariectomized hypertensive rats: a possible mechanism of diastolic dysfunction in postmenopausal women. Hypertension Research. 34(4). 496–502. 55 indexed citations
5.
Koga, Mitsuhisa, Hisashi Kai, Hideo Yasukawa, et al.. (2007). Inhibition of Progression and Stabilization of Plaques by Postnatal Interferon-γ Function Blocking in ApoE-Knockout Mice. Circulation Research. 101(4). 348–356. 77 indexed citations
6.
Koga, Mitsuhisa, Hisashi Kai, Hideo Yasukawa, et al.. (2007). Postnatal Blocking of Interferon-.GAMMA. Function Prevented Atherosclerotic Plaque Formation in Apolipoprotein E-Knockout Mice. Hypertension Research. 30(3). 259–267. 20 indexed citations
7.
Koga, Mitsuhisa, Hisashi Kai, Kimiyasu Egami, et al.. (2007). Mutant MCP-1 therapy inhibits tumor angiogenesis and growth of malignant melanoma in mice. Biochemical and Biophysical Research Communications. 365(2). 279–284. 72 indexed citations
8.
Kai, Mamiko, et al.. (2004). Soybean Isoflavones Eliminate Nifedipine-Induced Flushing of Tail Skin in Ovariectomized Mice. Journal of Pharmacological Sciences. 95(4). 476–478. 5 indexed citations
9.
Dohgu, Shinya, Atsushi Yamauchi, Shinsuke Nakagawa, et al.. (2004). Nitric oxide mediates cyclosporine-induced impairment of the blood–brain barrier in cocultures of mouse brain endothelial cells and rat astrocytes. European Journal of Pharmacology. 505(1-3). 51–59. 24 indexed citations
10.
Kai, Mamiko, et al.. (2003). Ovariectomy aggravates nifedipine-induced flushing of tail skin in mice. European Journal of Pharmacology. 481(1). 79–82. 8 indexed citations
11.
Tominaga, Koji, Mamiko Kai, Atsushi Yamauchi, et al.. (2002). Subchronic treatment with cyclosporin A decreases the binding properties of the GABAA receptor in ovariectomized rats. Life Sciences. 72(4-5). 425–430. 4 indexed citations
12.
Kuwahara, Fumitaka, Hisashi Kai, Keisuke Tokuda, et al.. (2002). Transforming Growth Factor-β Function Blocking Prevents Myocardial Fibrosis and Diastolic Dysfunction in Pressure-Overloaded Rats. Circulation. 106(1). 130–135. 522 indexed citations breakdown →
13.
Kai, Mamiko, et al.. (2002). Permeation-Enhancing Effect of Aloe-emodin Anthrone on Water-Soluble and Poorly Permeable Compounds in Rat Colonic Mucosa. Biological and Pharmaceutical Bulletin. 25(12). 1608–1613. 13 indexed citations
14.
Seki, Yukihiko, et al.. (1998). Myocardial dna strand breaks are detected in biopsy tissues from patients with dilated cardiomyopathy. Clinical Cardiology. 21(8). 591–596. 14 indexed citations
15.
Kai, Hisashi, Hisao Ikeda, Hideo Yasukawa, et al.. (1998). Peripheral blood levels of matrix metalloproteases-2 and -9 are elevated in patients with acute coronary syndromes. Journal of the American College of Cardiology. 32(2). 368–372. 500 indexed citations breakdown →
16.
Pau, Chou‐Pong, et al.. (1994). Antigenic Variation and Serotyping of HIV Type 1 from Four World Health Organization-Sponsored HIV Vaccine Sites. AIDS Research and Human Retroviruses. 10(11). 1369–1377. 54 indexed citations
17.
Sera, Nobuyuki, Mamiko Kai, Kazumi Horikawa, et al.. (1991). Detection of 3,6-dinitrobenzo[a]pyrene in airborne particulates. Mutation Research Letters. 263(1). 27–32. 23 indexed citations
18.
Kai, Mamiko, ATSUKO NODA, Hiroshi Noda, & Shigeru Goto. (1988). Structure-activity relationship of a new series of tricyclic monoamine oxidase inhibitors of pentanthrene type.. Chemical and Pharmaceutical Bulletin. 36(9). 3604–3608. 11 indexed citations
19.
Kai, Mamiko, ATSUKO NODA, Hiroshi Noda, & Shigeru Goto. (1985). Detection of a new series of monoamine oxidase inhibitors.. Chemical and Pharmaceutical Bulletin. 33(12). 5585–5588. 5 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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