Kenei Shimada

8.5k total citations · 1 hit paper
162 papers, 4.9k citations indexed

About

Kenei Shimada is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Kenei Shimada has authored 162 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Cardiology and Cardiovascular Medicine, 70 papers in Radiology, Nuclear Medicine and Imaging and 67 papers in Surgery. Recurrent topics in Kenei Shimada's work include Cardiac Imaging and Diagnostics (68 papers), Coronary Interventions and Diagnostics (46 papers) and Cardiovascular Function and Risk Factors (32 papers). Kenei Shimada is often cited by papers focused on Cardiac Imaging and Diagnostics (68 papers), Coronary Interventions and Diagnostics (46 papers) and Cardiovascular Function and Risk Factors (32 papers). Kenei Shimada collaborates with scholars based in Japan, United States and Germany. Kenei Shimada's co-authors include Junichi Yoshikawa, Minoru Yoshiyama, Daiju Fukuda, Shota Fukuda, Takahiko Kawarabayashi, Kenichiro Otsuka, Koki Nakanishi, Haruyuki Taguchi, Shoichi Ehara and Atsushi Tanaka and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and International Journal of Molecular Sciences.

In The Last Decade

Kenei Shimada

157 papers receiving 4.8k citations

Hit Papers

Spotty Calcification Typifies the Culprit Plaque in Patie... 2004 2026 2011 2018 2004 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Spotty Calcification Typifies the Culprit Plaque in Patients With Acute Myocardial Infarction
    2004 532 citations Shoichi Ehara, Minoru Yoshiyama et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenei Shimada Japan 41 2.8k 2.0k 1.8k 876 438 162 4.9k
Kumiko Hirata Japan 35 2.4k 0.8× 2.2k 1.1× 1.9k 1.0× 826 0.9× 555 1.3× 137 4.5k
Filippo Crea Italy 39 3.6k 1.3× 2.4k 1.2× 1.6k 0.9× 501 0.6× 522 1.2× 162 5.3k
Rajesh Kharbanda United Kingdom 50 4.1k 1.5× 2.4k 1.2× 2.3k 1.2× 815 0.9× 814 1.9× 180 9.5k
Gaetano Antonio Lanza Italy 43 4.9k 1.7× 2.2k 1.1× 2.8k 1.5× 701 0.8× 758 1.7× 264 7.2k
Bodo Cremers Germany 35 3.3k 1.2× 2.2k 1.1× 775 0.4× 1.3k 1.5× 527 1.2× 90 5.4k
Toshiro Shinke Japan 32 1.6k 0.6× 1.9k 1.0× 935 0.5× 985 1.1× 264 0.6× 212 3.3k
Kazuhiko Nishigaki Japan 34 1.6k 0.6× 1.5k 0.7× 1.1k 0.6× 720 0.8× 770 1.8× 133 3.8k
Stuart T. Higano United States 32 4.3k 1.5× 2.0k 1.0× 1.9k 1.1× 900 1.0× 343 0.8× 84 6.4k
Tetsu Yamaguchi Japan 38 2.5k 0.9× 2.3k 1.2× 1.1k 0.6× 1.4k 1.6× 413 0.9× 246 4.9k
Shin Takiuchi Japan 31 2.5k 0.9× 1.2k 0.6× 1.4k 0.8× 397 0.5× 512 1.2× 87 3.9k

Countries citing papers authored by Kenei Shimada

Since Specialization
Citations

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

Fields of papers citing papers by Kenei Shimada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenei Shimada

This figure shows the co-authorship network connecting the top 25 collaborators of Kenei Shimada. A scholar is included among the top collaborators of Kenei Shimada 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 Kenei Shimada. Kenei Shimada 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.
Otsuka, Kenichiro, et al.. (2024). Impact of diabetes mellitus and triglyceride glucose index on mortality and cardiovascular outcomes in patients with chronic coronary syndrome undergoing coronary computed tomography angiography. International Journal of Cardiology Cardiovascular Risk and Prevention. 20. 200250–200250. 11 indexed citations
2.
Ehara, Shoichi, et al.. (2018). Clinical significance of discrepant mid-wall late gadolinium enhancement in patients with nonischemic dilated cardiomyopathy. Heart and Vessels. 33(12). 1482–1489. 6 indexed citations
3.
Nakanishi, Koki, Shota Fukuda, Hajime Yamashita, et al.. (2016). Pre-Procedural Serum Atrial Natriuretic Peptide Levels Predict Left Atrial Reverse Remodeling After Catheter Ablation in Patients With Atrial Fibrillation. JACC. Clinical electrophysiology. 2(2). 151–158. 18 indexed citations
4.
Nishimura, Satoshi, Shoichi Ehara, Takao Hasegawa, et al.. (2016). Cholesterol crystal as a new feature of coronary vulnerable plaques: An optical coherence tomography study. Journal of Cardiology. 69(1). 253–259. 35 indexed citations
5.
Matsumoto, Kenji, Shoichi Ehara, Takao Hasegawa, et al.. (2015). Prediction of the filter no-reflow phenomenon in patients with angina pectoris by using multimodality: Magnetic resonance imaging, optical coherence tomography, and serum biomarkers. Journal of Cardiology. 67(5). 430–436. 12 indexed citations
6.
Hanatani, Akihisa, et al.. (2014). Remote ischemic conditioning improves coronary microcirculation in healthy subjects and patients with heart failure. Drug Design Development and Therapy. 8. 1175–1175. 58 indexed citations
7.
Takeshita, Hiroaki, et al.. (2013). Cardiac Computed Tomography for the Diagnosis of Coronary Artery Atherosclerosis. International Journal of Clinical Medicine. 4(3). 183–189.
8.
Hasegawa, Takao, Kenichiro Otsuka, Kenji Matsumoto, et al.. (2013). Serum n-3 to n-6 polyunsaturated fatty acids ratio correlates with coronary plaque vulnerability: an optical coherence tomography study. Heart and Vessels. 29(5). 596–602. 21 indexed citations
9.
Yano, Yuichiro, Satoshi Hoshide, Takashi Inokuchi, et al.. (2011). Regional Differences in Hypertensive Cardiovascular Remodeling Between Fishing and Farming Communities in Japan. American Journal of Hypertension. 24(4). 437–443. 16 indexed citations
10.
Tanaka, Atsushi, Kenei Shimada, Guillermo J. Tearney, et al.. (2011). Conformational Change in Coronary Artery Structure Assessed by Optical Coherence Tomography in Patients With Vasospastic Angina. Journal of the American College of Cardiology. 58(15). 1608–1613. 61 indexed citations
11.
Hasegawa, Takao, Satoshi Nishimura, Shinji Nakata, et al.. (2011). Optical coherence tomography images of bell-shaped appearance in late sirolimus-eluting stent restenosis with extension of previous incomplete stent apposition. Journal of Cardiology Cases. 4(3). e152–e155.
12.
Masuda, Takahiro, Minako Murata, Sato Honma, et al.. (2011). Sleep-disordered breathing predicts cardiovascular events and mortality in hemodialysis patients. Nephrology Dialysis Transplantation. 26(7). 2289–2295. 53 indexed citations
13.
Ishii, Katsuhisa, Makoto Imai, Yasunaka Makino, et al.. (2009). Abnormal Regional Left Ventricular Systolic and Diastolic Function in Patients With Coronary Artery Disease Undergoing Percutaneous Coronary Intervention. Journal of the American College of Cardiology. 54(17). 1589–1597. 58 indexed citations
14.
15.
Sakakura, Kenichi, Jun Ishikawa, Masataka Okuno, Kenei Shimada, & Kazuomi Kario. (2007). Exaggerated Ambulatory Blood Pressure Variability Is Associated with Cognitive Dysfunction in the Very Elderly and Quality of Life in the Younger Elderly. American Journal of Hypertension. 20(7). 720–727. 66 indexed citations
16.
Tanaka, Atsushi, Kenei Shimada, Toshihiko Sano, et al.. (2005). Multiple Plaque Rupture and C-Reactive Protein in Acute Myocardial Infarction. Journal of the American College of Cardiology. 45(10). 1594–1599. 164 indexed citations
17.
Fukuda, Daiju, Kenei Shimada, Atsushi Tanaka, et al.. (2004). Circulating monocytes and in-stent neointima after coronary stent implantation. Journal of the American College of Cardiology. 43(1). 18–23. 92 indexed citations
18.
Shimada, Kenei, Takahiko Kawarabayashi, Atsushi Tanaka, et al.. (2004). Oolong tea increases plasma adiponectin levels and low-density lipoprotein particle size in patients with coronary artery disease. Diabetes Research and Clinical Practice. 65(3). 227–234. 69 indexed citations
19.
Fujimoto, Kohei, Takeshi Hozumi, Hiroyuki Watanabe, et al.. (2003). Oral glucose loading suppresses coronary flow velocity reserve on transthoracic doppler echocardiography in healthy young adults. Journal of the American College of Cardiology. 41(6). 425–425. 1 indexed citations
20.
Nishinaga, Masanori & Kenei Shimada. (1994). [Heparan sulfate proteoglycan of endothelial cells: homocysteine suppresses anticoagulant active heparan sulfate in cultured endothelial cells].. PubMed. 42(4). 340–5. 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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