Sachiko Nishimoto

1.1k total citations
16 papers, 744 citations indexed

About

Sachiko Nishimoto is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology. According to data from OpenAlex, Sachiko Nishimoto has authored 16 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 6 papers in Immunology. Recurrent topics in Sachiko Nishimoto's work include Fatty Acid Research and Health (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers) and Inflammasome and immune disorders (3 papers). Sachiko Nishimoto is often cited by papers focused on Fatty Acid Research and Health (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers) and Inflammasome and immune disorders (3 papers). Sachiko Nishimoto collaborates with scholars based in Japan, Netherlands and Norway. Sachiko Nishimoto's co-authors include Masataka Sata, Daiju Fukuda, Takeshi Soeki, Shusuke Yagi, Michio Shimabukuro, Yoichiro Hirata, Kimie Tanaka, Yasutomi Higashikuni, Hirotsugu Yamada and Tetsuzo Wakatsuki and has published in prestigious journals such as Circulation, PLoS ONE and Science Advances.

In The Last Decade

Sachiko Nishimoto

16 papers receiving 731 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sachiko Nishimoto Japan 11 240 199 199 151 121 16 744
Brian Tieu United States 10 254 1.1× 178 0.9× 244 1.2× 86 0.6× 91 0.8× 12 929
Giovanna Baccante Italy 15 172 0.7× 116 0.6× 119 0.6× 100 0.7× 60 0.5× 19 546
Iwona Żak Poland 16 133 0.6× 144 0.7× 104 0.5× 79 0.5× 64 0.5× 56 593
Tetsuo Fujimaki Japan 16 333 1.4× 169 0.8× 100 0.5× 89 0.6× 94 0.8× 65 864
Muhammed Kashif Germany 10 224 0.9× 108 0.5× 183 0.9× 86 0.6× 55 0.5× 14 809
Satish Ranjan Germany 14 447 1.9× 88 0.4× 264 1.3× 157 1.0× 63 0.5× 19 978
Françoise Maupas‐Schwalm France 15 287 1.2× 160 0.8× 124 0.6× 52 0.3× 105 0.9× 22 686
Giuseppina Nicolini Italy 18 423 1.8× 166 0.8× 85 0.4× 72 0.5× 110 0.9× 47 957
Yafa Naim Abu Nabah Spain 12 152 0.6× 192 1.0× 244 1.2× 79 0.5× 36 0.3× 13 674

Countries citing papers authored by Sachiko Nishimoto

Since Specialization
Citations

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

Fields of papers citing papers by Sachiko Nishimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachiko Nishimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Sachiko Nishimoto. A scholar is included among the top collaborators of Sachiko Nishimoto 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 Sachiko Nishimoto. Sachiko Nishimoto 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.
Nishimoto, Sachiko, Masataka Sata, & Daiju Fukuda. (2022). Expanding role of deoxyribonucleic acid-sensing mechanism in the development of lifestyle-related diseases. Frontiers in Cardiovascular Medicine. 9. 881181–881181. 2 indexed citations
2.
Miyashita, Masahiro, Ming Chen, Sachiko Nishimoto, et al.. (2020). Identification of an antiviral component from the venom of the scorpion Liocheles australasiae using transcriptomic and mass spectrometric analyses. Toxicon. 191. 25–37. 9 indexed citations
3.
Nishimoto, Sachiko, Daiju Fukuda, & Masataka Sata. (2020). Emerging roles of Toll-like receptor 9 in cardiometabolic disorders. Inflammation and Regeneration. 40(1). 18–18. 40 indexed citations
4.
Fukuda, Daiju, Sachiko Nishimoto, Atsushi Tanaka, et al.. (2019). Toll‐Like Receptor 9 Plays a Pivotal Role in Angiotensin II–Induced Atherosclerosis. Journal of the American Heart Association. 8(7). e010860–e010860. 53 indexed citations
5.
Nishimoto, Sachiko, Daiju Fukuda, Yasutomi Higashikuni, et al.. (2018). Activation of Toll-Like Receptor 9 Impairs Blood Flow Recovery After Hind-Limb Ischemia. Frontiers in Cardiovascular Medicine. 5. 144–144. 6 indexed citations
6.
Fukuda, Daiju, Hotimah Masdan Salim, Sachiko Nishimoto, et al.. (2018). Ticagrelor, a P2Y12 antagonist, attenuates vascular dysfunction and inhibits atherogenesis in apolipoprotein-E-deficient mice. Atherosclerosis. 275. 124–132. 25 indexed citations
7.
Hara, Tomoya, Phạm Trần Phương, Daiju Fukuda, et al.. (2018). Protease-Activated Receptor-2 Plays a Critical Role in Vascular Inflammation and Atherosclerosis in Apolipoprotein E–Deficient Mice. Circulation. 138(16). 1706–1719. 60 indexed citations
8.
Takashima, Akira, Daiju Fukuda, Kimie Tanaka, et al.. (2016). Combination of n-3 polyunsaturated fatty acids reduces atherogenesis in apolipoprotein E-deficient mice by inhibiting macrophage activation. Atherosclerosis. 254. 142–150. 31 indexed citations
9.
Nishimoto, Sachiko, Daiju Fukuda, Yasutomi Higashikuni, et al.. (2016). Obesity-induced DNA released from adipocytes stimulates chronic adipose tissue inflammation and insulin resistance. Science Advances. 2(3). e1501332–e1501332. 204 indexed citations
10.
Yagi, Shusuke, Ken‐ichi Aihara, Daiju Fukuda, et al.. (2015). Reduced ratio of eicosapentaenoic acid and docosahexaenoic acid to arachidonic acid is associated with early onset of acute coronary syndrome. Nutrition Journal. 14(1). 111–111. 22 indexed citations
11.
Fukuda, Daiju, Takeshi Soeki, Sachiko Nishimoto, et al.. (2015). Expression of NLRP3 in subcutaneous adipose tissue is associated with coronary atherosclerosis. Atherosclerosis. 242(2). 407–414. 55 indexed citations
12.
Hara, Tomoya, Daiju Fukuda, Kimie Tanaka, et al.. (2015). Rivaroxaban, a novel oral anticoagulant, attenuates atherosclerotic plaque progression and destabilization in ApoE-deficient mice. Atherosclerosis. 242(2). 639–646. 135 indexed citations
13.
Ishida, Masayoshi, Michio Shimabukuro, Shusuke Yagi, et al.. (2014). MicroRNA-378 Regulates Adiponectin Expression in Adipose Tissue: A New Plausible Mechanism. PLoS ONE. 9(11). e111537–e111537. 44 indexed citations
14.
Hirata, Yoichiro, Hirotsugu Kurobe, Chika Nishio, et al.. (2012). Exendin-4, a glucagon-like peptide-1 receptor agonist, attenuates neointimal hyperplasia after vascular injury. European Journal of Pharmacology. 699(1-3). 106–111. 46 indexed citations
15.
Fujita, Ken‐ichi, Sachiko Nishimoto, Keiko Momma, et al.. (2012). Establishment of a Monitoring System to Detect Inhibition of mRNA Processing. Bioscience Biotechnology and Biochemistry. 76(6). 1248–1251. 6 indexed citations
16.
Kondo, Hiroki, Ryuji Kimura, & Sachiko Nishimoto. (1972). Effects of Curved Temperature Profiles on the Benard-Rayleigh Convective Instability. Journal of the Meteorological Society of Japan Ser II. 50(1). 65–69. 6 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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