Masako Kawamura

638 total citations
16 papers, 526 citations indexed

About

Masako Kawamura is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology and Epidemiology. According to data from OpenAlex, Masako Kawamura has authored 16 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Immunology and 4 papers in Epidemiology. Recurrent topics in Masako Kawamura's work include Atherosclerosis and Cardiovascular Diseases (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Masako Kawamura is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Masako Kawamura collaborates with scholars based in Japan, Italy and Canada. Masako Kawamura's co-authors include Hideaki Matsumoto, Bunichi Ezaki, Takanari Gotoda, Maki Katsuhara, Nobuhiro Yamada, Yoshio Yazaki, Toshimori Inaba, Masako Shimada, Hitoshi Shimano and Jun-ichi Ohsuga and has published in prestigious journals such as Journal of Biological Chemistry, PLANT PHYSIOLOGY and Diabetes.

In The Last Decade

Masako Kawamura

16 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masako Kawamura Japan 13 177 161 80 59 50 16 526
И. В. Андрианова Russia 12 119 0.7× 125 0.8× 105 1.3× 86 1.5× 19 0.4× 46 405
Fan Dai China 15 160 0.9× 228 1.4× 76 0.9× 32 0.5× 28 0.6× 42 573
Qunfang Yang China 15 143 0.8× 315 2.0× 68 0.8× 35 0.6× 40 0.8× 36 678
Maki Kuwahara Japan 13 41 0.2× 125 0.8× 67 0.8× 95 1.6× 49 1.0× 40 588
Naoko Ito Japan 15 230 1.3× 256 1.6× 57 0.7× 87 1.5× 15 0.3× 51 633
Qing Gu China 13 161 0.9× 139 0.9× 54 0.7× 56 0.9× 41 0.8× 21 619
Akira Takei Japan 11 38 0.2× 125 0.8× 149 1.9× 63 1.1× 16 0.3× 23 432
Kiranmai Chadipiralla India 11 58 0.3× 183 1.1× 32 0.4× 40 0.7× 44 0.9× 21 374
Xiaopeng Liu China 13 81 0.5× 157 1.0× 88 1.1× 52 0.9× 39 0.8× 31 462
Milenko Cicmil United States 9 37 0.2× 124 0.8× 69 0.9× 41 0.7× 81 1.6× 13 446

Countries citing papers authored by Masako Kawamura

Since Specialization
Citations

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

Fields of papers citing papers by Masako Kawamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Kawamura

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

All Works

16 of 16 papers shown
1.
Ezaki, Bunichi, M. Suzuki, Hirotoshi Motoda, et al.. (2004). Mechanism of Gene Expression of Arabidopsis Glutathione S-Transferase, AtGST1, and AtGST11 in Response to Aluminum Stress. PLANT PHYSIOLOGY. 134(4). 1672–1682. 83 indexed citations
2.
Ezaki, Bunichi, Maki Katsuhara, Masako Kawamura, & Hideaki Matsumoto. (2001). Different Mechanisms of Four Aluminum (Al)-Resistant Transgenes for Al Toxicity in Arabidopsis. PLANT PHYSIOLOGY. 127(3). 918–927. 106 indexed citations
3.
Inaba, Toshimori, Shun Ishibashi, Takanari Gotoda, et al.. (1996). Enhanced Expression of Platelet-Derived Growth Factor-β Receptor by High Glucose Involvement of Platelet-Derived Growth Factor in Diabetic Angiopathy. Diabetes. 45(4). 507–512. 61 indexed citations
4.
Yamamoto, Koji, Hitoshi Shimano, Masako Shimada, et al.. (1995). Overexpression of Apolipoprotein E Prevents Development of Diabetic Hyperlipidemia in Transgenic Mice. Diabetes. 44(5). 580–585. 19 indexed citations
5.
Shimada, Masako, Shun Ishibashi, Takanari Gotoda, et al.. (1995). Overexpression of Human Lipoprotein Lipase Protects Diabetic Transgenic Mice From Diabetic Hypertriglyceridemia and Hypercholesterolemia. Arteriosclerosis Thrombosis and Vascular Biology. 15(10). 1688–1694. 35 indexed citations
6.
Inaba, Toshimori, Masako Kawamura, Takanari Gotoda, et al.. (1995). Effects of Platelet-Derived Growth Factor on the Synthesis of Lipoprotein Lipase in Human Monocyte–Derived Macrophages. Arteriosclerosis Thrombosis and Vascular Biology. 15(4). 522–528. 22 indexed citations
7.
Watanabe, Yoshirô, Toshimori Inaba, Takanari Gotoda, et al.. (1994). Role of Macrophage Colony‐Stimulating Factor in the Initial Process of Atherosclerosis. Annals of the New York Academy of Sciences. 748(1). 357–364. 14 indexed citations
8.
Yamada, Nobuhiro, Yoshirô Watanabe, Toshimori Inaba, et al.. (1994). Dextran sulfate, a competitive inhibitor for scavenger receptor, prevents the progression of atherosclerosis in Watanabe heritable hyperlipidemic rabbits. Atherosclerosis. 106(1). 43–50. 19 indexed citations
9.
Inaba, Tomohiro, Hitoshi Shimano, Takanari Gotoda, et al.. (1993). Expression of platelet-derived growth factor beta receptor on human monocyte-derived macrophages and effects of platelet-derived growth factor BB dimer on the cellular function.. Journal of Biological Chemistry. 268(32). 24353–24360. 53 indexed citations
10.
Gotoda, Takanari, Nobuhiro Yamada, Toshio Murase, et al.. (1992). A newly identified null allelic mutation in the human lipoprotein lipase (LPL) gene of a compound heterozygote with familial LPL deficiency. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1138(4). 353–356. 13 indexed citations
11.
Inoue, Ikuo, Toshimori Inaba, Kazuo Motoyoshi, et al.. (1992). Macrophage colony stimulating factor prevents the progression of atherosclerosis in Watanabe heritable hyperlipidemic rabbits. Atherosclerosis. 93(3). 245–254. 53 indexed citations
12.
Tsuji, Keisuke, Yasue Nakagawa, Masako Kawamura, et al.. (1989). Effects of Gum Arabic and Pectin on the Emulsification, the Lipase Reaction, and the Plasma Cholesterol Level in Rats. Agricultural and Biological Chemistry. 53(12). 3127–3132. 6 indexed citations
13.
Tsuji, Keisuke, Yasue Nakagawa, Masako Kawamura, et al.. (1989). Effects of gum arabic and pectin on the emulsification, the lipase reaction, and the plasma cholesterol level in rats.. Agricultural and Biological Chemistry. 53(12). 3127–3132. 17 indexed citations
14.
Tsuji, Keisuke, et al.. (1986). Effect of dietary taurine on fecal steroid excretion and bile acid pool size in hypercholesterolemic mice.. The Japanese Journal of Nutrition and Dietetics. 44(2). 87–93. 1 indexed citations
15.
Tsuji, Keisuke, et al.. (1985). Effect of dietary taurine on cholesterol gallstone formation and tissue cholesterol contents in mice.. Journal of Nutritional Science and Vitaminology. 31(2). 225–232. 16 indexed citations
16.
Ono, Tetsuo, et al.. (1971). Difference of RNA population between normal liver and hepatoma AH-130.. PubMed. 62(1). 31–40. 8 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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