Taku Iwaki

468 citations
17 papers · 372 indexed · h-index 9
Topics
Cardiomyopathy and Myosin Studies (4 papers)Cardiovascular Function and Risk Factors (3 papers)Cardiovascular Effects of Exercise (3 papers)
Partner nations
JapanChina

In The Last Decade

Taku Iwaki

16 papers receiving 360 citations

Peers

Taku Iwaki
Comparison fields: 5 of 54
  • Cardiology and Cardiovascular Medicine 270
  • Molecular Biology 63
  • Surgery 59
  • Pulmonary and Respiratory Medicine 57
  • Nephrology 44
Replace Keishi Saihara with:
Keishi Saihara Japan
Chan Joon Kim South Korea
Dirk J. van Veldhuisen Netherlands
Yusuf İzzettin Alihanoğlu Türkiye
Joao A Lima United States
Junko Hotchi Japan
Alper Buğra Nacar Türkiye
Yasuki Nakada Japan
Shaoli Chu China
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Taku Iwaki relative to Keishi Saihara Japan Keishi Saihara's profile →
Citations per field
00.5×10×
Keishi Saihara · 1×
Citations per year

Countries citing papers authored by Taku Iwaki

Since Specialization
Citations

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

Fields of papers citing papers by Taku Iwaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taku Iwaki

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 3
3 1
4 21
5
Frequency and predictors of bleeding complications associated with anti-coagulant therapy using dabigatran in Japanese patients with atrial fibrillation.
8
6 14
7
Impact of SYNTAX score on 1-year clinical outcomes in patients undergoing percutaneous coronary intervention for unprotected left main coronary artery.
6
8 8
9 29
10 23
11 10
12 208
13 3
14 6
15 3
16
[Extracranial metastasis of glioblastoma to the lung and heart with a histological resemblance to small cell carcinoma of the lung: an autopsy case].
13
17 16

About Taku Iwaki

Taku Iwaki is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Nephrology, having authored 17 papers that have together received 372 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (4 papers), Cardiovascular Function and Risk Factors (3 papers) and Cardiovascular Effects of Exercise (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (270 citations), Nephrology (44 citations) and Internal Medicine (11 citations). Taku Iwaki has collaborated with scholars based in Japan and China. Frequent co-authors include Masami Shimizu, Hiroshi Mabuchi, Kazuyasu Okeie, Kotaro Oe, Hidekazu Ino, Mitsuru Nagata, Hideki Itoh, Tetsuo Konno, Kenshi Hayashi and Masato Yamaguchi. Their work appears in journals such as American Heart Journal, Heart and Journal of Cardiac Failure.

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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