Taizo Kimura

702 total citations
26 papers, 529 citations indexed

About

Taizo Kimura is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Taizo Kimura has authored 26 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 9 papers in Pulmonary and Respiratory Medicine and 6 papers in Surgery. Recurrent topics in Taizo Kimura's work include Pulmonary Hypertension Research and Treatments (4 papers), Cell Adhesion Molecules Research (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Taizo Kimura is often cited by papers focused on Pulmonary Hypertension Research and Treatments (4 papers), Cell Adhesion Molecules Research (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Taizo Kimura collaborates with scholars based in Japan and United States. Taizo Kimura's co-authors include Kazutaka Aonuma, Akira Sato, Satoshi Sakai, Kazuko Tajiri, Michiaki Hiroe, Hiroshi Ogawa, Kenji Suzuki, Toshimichi Yoshida, Kyoko Imanaka‐Yoshida and Nobuyuki Murakoshi and has published in prestigious journals such as Circulation, PLoS ONE and Scientific Reports.

In The Last Decade

Taizo Kimura

25 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taizo Kimura Japan 13 198 134 125 117 93 26 529
Sanna Hellberg Finland 11 130 0.7× 123 0.9× 91 0.7× 170 1.5× 70 0.8× 19 461
Brenda Finney United Kingdom 13 77 0.4× 103 0.8× 87 0.7× 182 1.6× 124 1.3× 18 645
Dippal Parikh United States 9 110 0.6× 109 0.8× 103 0.8× 159 1.4× 128 1.4× 11 447
Sander W. van der Laan Netherlands 14 118 0.6× 78 0.6× 97 0.8× 251 2.1× 199 2.1× 58 692
Naoto Ashizawa Japan 14 319 1.6× 51 0.4× 152 1.2× 201 1.7× 29 0.3× 29 598
Changqing Du China 13 137 0.7× 34 0.3× 90 0.7× 231 2.0× 52 0.6× 36 466
Guillaume Gary‐Bobo France 9 137 0.7× 320 2.4× 63 0.5× 333 2.8× 95 1.0× 12 758
Prasad Srikakulapu United States 14 124 0.6× 76 0.6× 102 0.8× 180 1.5× 562 6.0× 18 825
Jufeng Wang China 9 161 0.8× 42 0.3× 46 0.4× 294 2.5× 73 0.8× 20 521

Countries citing papers authored by Taizo Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Taizo Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taizo Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Taizo Kimura. A scholar is included among the top collaborators of Taizo 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 Taizo Kimura. Taizo 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.
Tajiri, Kazuko, Hiromitsu Saito, Noboru Suzuki, et al.. (2021). Generation of Transgenic Mice that Conditionally Overexpress Tenascin-C. Frontiers in Immunology. 12. 620541–620541. 9 indexed citations
2.
Kimura, Taizo, Kazuko Tajiri, Akira Sato, et al.. (2018). Tenascin-C accelerates adverse ventricular remodelling after myocardial infarction by modulating macrophage polarization. Cardiovascular Research. 115(3). 614–624. 52 indexed citations
3.
Yamamoto, Masayoshi, Tomoko Ishizu, Yoshihiro Seo, et al.. (2017). Teneligliptin Prevents Cardiomyocyte Hypertrophy, Fibrosis, and Development of Hypertensive Heart Failure in Dahl Salt-Sensitive Rats. Journal of Cardiac Failure. 24(1). 53–60. 8 indexed citations
4.
Ogata, Takehiro, Tomomi Ueyama, Naohiko Nakanishi, et al.. (2017). Loss of MURC/Cavin-4 induces JNK and MMP-9 activity enhancement in vascular smooth muscle cells and exacerbates abdominal aortic aneurysm. Biochemical and Biophysical Research Communications. 487(3). 587–593. 8 indexed citations
5.
Murakoshi, Nobuyuki, Kazuko Tajiri, Dongzhu Xu, et al.. (2017). Rev-erb agonist improves adverse cardiac remodeling and survival in myocardial infarction through an anti-inflammatory mechanism. PLoS ONE. 12(12). e0189330–e0189330. 67 indexed citations
6.
Kimura, Taizo, et al.. (2017). The Glucagon-Like Peptide-1 Receptor Agonist Inhibits Hypoxia-Induced Pulmonary Hypertension in Mice. Journal of Cardiac Failure. 23(10). S69–S69. 1 indexed citations
7.
Sakai, Satoshi, Hidekazu Maruyama, Taizo Kimura, et al.. (2016). Antagonists to endothelin receptor type B promote apoptosis in human pulmonary arterial smooth muscle cells. Life Sciences. 159. 116–120. 7 indexed citations
8.
Sakai, Satoshi, Nobutake Shimojo, Taizo Kimura, et al.. (2014). Involvement of peptidyl-prolyl isomerase Pin1 in the inhibitory effect of fluvastatin on endothelin-1-induced cardiomyocyte hypertrophy. Life Sciences. 102(2). 98–104. 14 indexed citations
9.
Kimura, Taizo, Sohei Ito, Norifumi Nishida, et al.. (2014). Tenascin C protects aorta from acute dissection in mice. Scientific Reports. 4(1). 4051–4051. 40 indexed citations
10.
Machino, Takeshi, Nobuyuki Murakoshi, Akira Sato, et al.. (2014). Anti-hypertensive effect of radiofrequency renal denervation in spontaneously hypertensive rats. Life Sciences. 110(2). 86–92. 21 indexed citations
11.
Tajiri, Kazuko, Nobutake Shimojo, Satoshi Sakai, et al.. (2014). Abstract 13566: Pitavastatin Regulates mTOR Complex 1 Signaling Through Inhibition of Rheb in T Cells. Circulation. 130(suppl_2). 1 indexed citations
13.
Tajiri, Kazuko, Satoshi Sakai, Taizo Kimura, et al.. (2014). Endothelin receptor antagonist exacerbates autoimmune myocarditis in mice. Life Sciences. 118(2). 288–296. 10 indexed citations
14.
Tajiri, Kazuko, Nobutake Shimojo, Satoshi Sakai, et al.. (2013). Pitavastatin Regulates Helper T-Cell Differentiation and Ameliorates Autoimmune Myocarditis in Mice. Cardiovascular Drugs and Therapy. 27(5). 413–424. 28 indexed citations
15.
Sugano, Akinori, Satoshi Sakai, Hidekazu Maruyama, et al.. (2013). The case of pulmonary veno-occlusive disease succeeded in administration of sildenafil by dose adjustment. Life Sciences. 93(25-26). e20–e21.
16.
Wang, Zheng, Akira Sato, Daiki Akiyama, et al.. (2013). Clinical value of plasma pentraxin 3 levels for predicting cardiac troponin elevation after percutaneous coronary intervention. Life Sciences. 95(1). 40–44. 6 indexed citations
17.
Sakai, Satoshi, Taizo Kimura, Zheng Wang, et al.. (2012). Endothelin-1induced cardiomyocyte hypertrophy is partly regulated by transcription factor II-F interacting C-terminal domain phosphatase of RNA polymerase II. Life Sciences. 91(13-14). 572–577. 6 indexed citations
18.
Sato, Akira, Michiaki Hiroe, Daiki Akiyama, et al.. (2012). Prognostic Value of Serum Tenascin-C Levels on Long-Term Outcome After Acute Myocardial Infarction. Journal of Cardiac Failure. 18(6). 480–486. 35 indexed citations
19.
Kimura, Taizo, Koichi Yoshimura, Hiroki Aoki, et al.. (2011). Tenascin‐C is expressed in abdominal aortic aneurysm tissue with an active degradation process. Pathology International. 61(10). 559–564. 28 indexed citations
20.
Suzuki, Kenji, Taizo Kimura, & Hiroshi Ogawa. (1998). Is laparoscopic cholecystectomy hazardous for gallbladder cancer?. Surgery. 123(3). 311–314. 52 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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