Takao Kimura

5.3k total citations
133 papers, 3.9k citations indexed

About

Takao Kimura is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Takao Kimura has authored 133 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 23 papers in Endocrinology, Diabetes and Metabolism and 17 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Takao Kimura's work include Sphingolipid Metabolism and Signaling (24 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers) and Lipid metabolism and disorders (10 papers). Takao Kimura is often cited by papers focused on Sphingolipid Metabolism and Signaling (24 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers) and Lipid metabolism and disorders (10 papers). Takao Kimura collaborates with scholars based in Japan, United States and South Korea. Takao Kimura's co-authors include Fumikazu Okajima, Hideaki Tomura, Kōichi Sato, Atsushi Kuwabara, Masami Murakami, Kenichi Tamama, J. Golstein, Alfredo Fusco, Michio Ui and Isao Kobayashi and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Applied Physics Letters.

In The Last Decade

Takao Kimura

128 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takao Kimura Japan 34 2.3k 680 636 577 404 133 3.9k
Min Luo China 36 2.3k 1.0× 394 0.6× 402 0.6× 450 0.8× 665 1.6× 206 4.9k
Norman L. Block United States 41 2.1k 0.9× 1.5k 2.2× 733 1.2× 1.2k 2.0× 203 0.5× 194 6.0k
Frank Macaluso United States 27 2.1k 0.9× 148 0.2× 1.6k 2.5× 603 1.0× 606 1.5× 52 4.2k
Sang‐Hee Lee South Korea 36 1.2k 0.5× 168 0.2× 289 0.5× 476 0.8× 247 0.6× 113 4.0k
M. Zabel Poland 40 2.9k 1.2× 413 0.6× 309 0.5× 641 1.1× 516 1.3× 427 6.7k
Masahiro Maeda Japan 40 2.3k 1.0× 177 0.3× 248 0.4× 512 0.9× 903 2.2× 183 5.2k
Rudolf Flückiger United States 28 1.2k 0.5× 667 1.0× 400 0.6× 329 0.6× 190 0.5× 62 3.0k
Elias Meezan United States 30 1.4k 0.6× 222 0.3× 435 0.7× 465 0.8× 168 0.4× 94 3.1k
Hermann Schillers Germany 28 1.1k 0.5× 467 0.7× 591 0.9× 262 0.5× 134 0.3× 60 3.0k
Fang Peng China 34 2.0k 0.9× 296 0.4× 257 0.4× 214 0.4× 281 0.7× 183 3.6k

Countries citing papers authored by Takao Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Takao Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takao Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Takao Kimura. A scholar is included among the top collaborators of Takao Kimura 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 Takao Kimura. Takao Kimura 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.
Kimura, Takao, Kazuya Miyashita, Isamu Fukamachi, et al.. (2024). Quantification of lipoprotein lipase in mouse plasma with a sandwich enzyme-linked immunosorbent assay. Journal of Lipid Research. 65(4). 100532–100532. 2 indexed citations
2.
Tsunekawa, Katsuhiko, et al.. (2023). Sex Differences in Serum 25-hydroxyvitamin D Reflect Differences in 25-hydroxyvitamin D<sub>3</sub> Levels but not in D<sub>2</sub> Levels. The Kitakanto Medical Journal. 73(1). 15–21. 2 indexed citations
3.
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Zhang, Guofu, Qi Yang, Wenjian Mao, et al.. (2022). GPIHBP1 autoantibody is an independent risk factor for the recurrence of hypertriglyceridemia-induced acute pancreatitis. Journal of clinical lipidology. 16(5). 626–634. 9 indexed citations
5.
Kato, Toshimitsu, et al.. (2021). Pseudo-thrombus mechanism in left atrial appendage visualized via transthoracic echocardiography. Journal of Medical Ultrasonics. 48(4). 645–647.
6.
Yoshida, Akihiro, et al.. (2020). Glucomannan Inhibits Rice Gruel-Induced Increases in Plasma Glucose and Insulin Levels. Annals of Nutrition and Metabolism. 76(4). 259–267. 7 indexed citations
7.
Maruyama, Kenichi, Yasushi Ohki, Yoshiyuki Yamada, et al.. (2020). Prevalence and Risk Factor for Antibiotic-resistant Escherichia coli Colonization at Birth in Premature Infants. The Pediatric Infectious Disease Journal. 39(6). 546–552. 7 indexed citations
8.
Nakajima, Kiyomi, Tetsuo Machida, Shigeyuki Imamura, et al.. (2018). An automated method for measuring lipoprotein lipase and hepatic triglyceride lipase activities in post-heparin plasma. Clinica Chimica Acta. 487. 54–59. 7 indexed citations
9.
Koga, Takafumi, Yohnosuke Shimomura, Yasuki Ito, et al.. (2017). The role of plasma lipoprotein lipase, hepatic lipase and GPIHBP1 in the metabolism of remnant lipoproteins and small dense LDL in patients with coronary artery disease. Clinica Chimica Acta. 476. 146–153. 18 indexed citations
10.
Yagi, Hideki, Hiroyuki Sumino, Katsuhiko Tsunekawa, et al.. (2016). Impaired blood rheology is associated with endothelial dysfunction in patients with coronary risk factors. Clinical Hemorheology and Microcirculation. 62(2). 139–150. 27 indexed citations
11.
Kimura, Takao, Yutaka Tokue, Makoto Aoki, et al.. (2015). Metallo‐β‐lactamase‐producing Klebsiella pneumoniae infection in a non‐hospital environment. Acute Medicine & Surgery. 3(1). 32–35. 4 indexed citations
12.
Damirin, Alatangaole, Hideaki Tomura, Mayumi Komachi, et al.. (2007). Role of lipoprotein-associated lysophospholipids in migratory activity of coronary artery smooth muscle cells. American Journal of Physiology-Heart and Circulatory Physiology. 292(5). H2513–H2522. 45 indexed citations
13.
Kimura, Takao, et al.. (2006). Synthesis and Evaluation of Polystyrenes for Pigment Dispersant through ATRP Using Dimethyl 2,6-Dibromoheptanedioate as the Initiator. KOBUNSHI RONBUNSHU. 63(4). 219–224. 3 indexed citations
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16.
Kimura, Takao, et al.. (1999). Effects of .ALPHA.-Methylstyrenes on the Pyrolysis of Expanded Polystyrene.. Nippon Shokuhin Kagaku Kogaku Kaishi. 46(9). 570–574. 1 indexed citations
17.
18.
Inoue, Hideshi, Jing‐Fang Lu, Senarath B. P. Athauda, et al.. (1995). Aspergillus Niger Var. Macrosporus Proteinase B. cDNA Cloning, Expression, and Activation of the Proenzyme. Advances in experimental medicine and biology. 362. 581–587. 4 indexed citations
19.
Matsuo, Kazuhiro, Yoshinori Nishino, Takao Kimura, et al.. (1992). Highly conserved epitope domain in major core protein p24 is structurally similar among human, simian and feline immunodeficiency viruses. Journal of General Virology. 73(9). 2445–2450. 26 indexed citations
20.
Takahashi, Kenji, Masaru Tanokura, Hideshi Inoue, et al.. (1991). Structure and Function of a Pepstatin-Insensitive Acid Proteinase from Aspergillus Niger var. Macrosporus. Advances in experimental medicine and biology. 306. 203–211. 17 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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