Akira Takaguri

602 total citations
34 papers, 500 citations indexed

About

Akira Takaguri is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Akira Takaguri has authored 34 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Surgery and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Akira Takaguri's work include Lipoproteins and Cardiovascular Health (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Cell Adhesion Molecules Research (4 papers). Akira Takaguri is often cited by papers focused on Lipoproteins and Cardiovascular Health (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Cell Adhesion Molecules Research (4 papers). Akira Takaguri collaborates with scholars based in Japan and United States. Akira Takaguri's co-authors include Kumi Satoh, Kazuo Ichihara, Satoru Eguchi, Yukiko Tokumitsu, Kunie Eguchi, Allison Bourne, Keita Kimura, Akinari Hinoki, Takashi Kubo and Katherine J. Elliott and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Hypertension and European Journal of Pharmacology.

In The Last Decade

Akira Takaguri

31 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akira Takaguri Japan 13 217 119 79 77 76 34 500
Ju-Qiong Wang China 8 244 1.1× 149 1.3× 60 0.8× 42 0.5× 102 1.3× 8 513
Srividya Velagapudi Switzerland 9 171 0.8× 111 0.9× 68 0.9× 72 0.9× 73 1.0× 12 423
Zahida Qamri United States 11 361 1.7× 147 1.2× 77 1.0× 77 1.0× 90 1.2× 12 832
Yasushi Kanazawa Japan 15 297 1.4× 65 0.5× 113 1.4× 53 0.7× 76 1.0× 21 684
Lakshman Segar United States 13 283 1.3× 95 0.8× 100 1.3× 55 0.7× 60 0.8× 19 520
Lifang Lv China 12 328 1.5× 79 0.7× 82 1.0× 96 1.2× 209 2.8× 19 564
Joshua K. Park United States 13 160 0.7× 93 0.8× 80 1.0× 49 0.6× 101 1.3× 28 585
Yitong Ma China 17 304 1.4× 86 0.7× 190 2.4× 140 1.8× 120 1.6× 67 766
Olga Bushueva Russia 19 300 1.4× 73 0.6× 97 1.2× 69 0.9× 58 0.8× 76 716
Yuan Lü United States 15 400 1.8× 66 0.6× 76 1.0× 98 1.3× 79 1.0× 29 839

Countries citing papers authored by Akira Takaguri

Since Specialization
Citations

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

Fields of papers citing papers by Akira Takaguri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Takaguri

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

All Works

20 of 20 papers shown
1.
Takaguri, Akira, et al.. (2025). Circadian clock gene BMAL1 is involved in transforming growth factor β1‐induced fibrotic response in NRK‐49F cells. Cell Biology International. 49(4). 365–373. 1 indexed citations
2.
Takaguri, Akira, et al.. (2024). SR9009 attenuates TGF-β1-induced renal fibrotic responses by inhibiting the NOX4/p38 signaling pathway in NRK-49F cells. European Journal of Pharmacology. 987. 177162–177162. 1 indexed citations
3.
Sato, Keisuke, et al.. (2023). Epalrestat Enhances MTS Reduction Activity Independent of Cell Numbers in Bovine Aortic Endothelial Cells. Pharmacology & Pharmacy. 14(3). 59–71.
4.
5.
Chiba, Takeshi, et al.. (2022). Suppression of milk-derived miR-148a caused by stress plays a role in the decrease in intestinal ZO-1 expression in infants. Clinical Nutrition. 41(12). 2691–2698. 11 indexed citations
6.
Chiba, Takeshi, et al.. (2022). Expression profiles of hsa-miR-148a-3p and hsa-miR-125b-5p in human breast milk and infant formulae. International Breastfeeding Journal. 17(1). 1–1. 25 indexed citations
7.
Chiba, Takeshi, Akira Takaguri, & Tomoji Maeda. (2021). Norepinephrine transporter expressed on mammary epithelial cells incorporates norepinephrine in milk into the cells. Biochemical and Biophysical Research Communications. 545. 1–7. 2 indexed citations
8.
Takaguri, Akira, et al.. (2020). The role of circadian clock gene BMAL1 in vascular proliferation. European Journal of Pharmacology. 872. 172924–172924. 22 indexed citations
9.
Uchiyama, Hironobu, Kenichi Komatsu, Akifumi Nakata, et al.. (2018). Global Liver Gene Expression Analysis on a Murine Hepatic Steatosis Model Treated with Mulberry (Morus alba L.) Leaf Powder. Anticancer Research. 38(7). 4305–4311. 10 indexed citations
10.
Takaguri, Akira, Takashi Kubo, Masaya Mori, & Kumi Satoh. (2017). The protective role of YAP1 on ER stress-induced cell death in vascular smooth muscle cells. European Journal of Pharmacology. 815. 470–477. 16 indexed citations
11.
Wakame, Koji, Kenichi Komatsu, Akifumi Nakata, et al.. (2017). Transcriptome Analysis of Skin from SMP30/GNL Knockout Mice Reveals the Effect of Ascorbic Acid Deficiency on Skin and Hair. In Vivo. 31(4). 599–607. 7 indexed citations
12.
Takaguri, Akira, et al.. (2016). AMPK activation by prolonged stimulation with interleukin‐1β contributes to the promotion of GLUT4 translocation in skeletal muscle cells. Cell Biology International. 40(11). 1204–1211. 16 indexed citations
13.
Takaguri, Akira, et al.. (2015). Effect of alteration of caveolin‐1 expression on doxorubicin‐induced apoptosis in H9c2 cardiac cells. Cell Biology International. 39(9). 1053–1060. 12 indexed citations
14.
Takaguri, Akira, et al.. (2015). Cilostazol inhibits interleukin‐1‐induced ADAM17 expression through cAMP independent signaling in vascular smooth muscle cells. Cell Biology International. 40(3). 269–276. 5 indexed citations
15.
Takayanagi, Takehiko, Akito Eguchi, Akira Takaguri, et al.. (2013). A repressor protein, Mnt, is a novel negative regulator of vascular smooth muscle cell hypertrophy by angiotensin II and neointimal hyperplasia by arterial injury. Atherosclerosis. 228(1). 90–93. 6 indexed citations
16.
Takaguri, Akira, et al.. (2013). Inhibition of the TNF-α^|^ndash;Induced Serine Phosphorylation of IRS-1 at 636/639 by AICAR. Journal of Pharmacological Sciences. 122(2). 93–102. 24 indexed citations
17.
Takaguri, Akira, Heigoro Shirai, Keita Kimura, et al.. (2010). Caveolin-1 negatively regulates a metalloprotease-dependent epidermal growth factor receptor transactivation by angiotensin II. Journal of Molecular and Cellular Cardiology. 50(3). 545–551. 42 indexed citations
18.
Hayase, Nobumasa, et al.. (2009). Effect of the Brand and Generic Medicine of Pravastatin on Dyslipidemia in Rabbits Fed a High Cholesterol Diet. YAKUGAKU ZASSHI. 129(1). 155–161. 1 indexed citations
19.
Satoh, Kumi, et al.. (2008). Effects of Rosuvastatin and Pitavastatin on Ischemia-Induced Myocardial Stunning in Dogs. Journal of Pharmacological Sciences. 106(4). 593–599. 14 indexed citations
20.
Takaguri, Akira, et al.. (2008). Effects of Atorvastatin and Pravastatin on Signal Transduction Related to Glucose Uptake in 3T3L1 Adipocytes. Journal of Pharmacological Sciences. 107(1). 80–89. 72 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ju-Qiong Wang Breakdown of academic impact, for papers by Srividya Velagapudi Breakdown of academic impact, for papers by Zahida Qamri Breakdown of academic impact, for papers by Yasushi Kanazawa Breakdown of academic impact, for papers by Lakshman Segar Breakdown of academic impact, for papers by Lifang Lv Breakdown of academic impact, for papers by Joshua K. Park Breakdown of academic impact, for papers by Yitong Ma Breakdown of academic impact, for papers by Olga Bushueva Breakdown of academic impact, for papers by Yuan Lü
Rankless by CCL
2026