Seiichi Takao

737 citations
10 papers · 578 indexed · h-index 5

Seiichi Takao

10 papers receiving 545 citations

Peers

Seiichi Takao
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 457
  • Radiology, Nuclear Medicine and Imaging 118
  • Pulmonary and Respiratory Medicine 154
  • Epidemiology 162
  • Equine 7
Replace K Shiratori with:
K Shiratori Japan
F Okumachi Japan
M Shakudo Japan
Faouzi Trojette France
Bijoy K. Khandheria United States
Hiroshi Izumoto Japan
Carl H. Gumbiner United States
Peter J.K. Starek United States
ARTHUR J. HAUCK United States
Sami S. Kabbani Syria
Seiichi Takao relative to K Shiratori Japan K Shiratori's profile →
Citations per field
00.5×1.7×
K Shiratori · 1×
Citations per year

Countries citing papers authored by Seiichi Takao

Since Specialization
Citations

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

Fields of papers citing papers by Seiichi Takao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Seiichi Takao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Seiichi Takao Line = papers co-authored together Seiichi Takao links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20213
2 20104
3
[Late complications of valve replacement: the benefits of non-invasive assessment].
19881
4 1988232
5 198837
6
[Color Doppler evaluation of a specific left ventricular flow pattern in a case of left ventricular pseudoaneurysm].
19881
7 1987110
8
[Analysis of left ventricular blood flow in cases of myocardial infarction: a preliminary report].
19841
9
[Aortic flow patterns in heart diseases with left-to-right shunts from the aorta, and their clinical significance: a Doppler echocardiographic study].
19841
10 1984188

About Seiichi Takao

Seiichi Takao is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 10 papers that have together received 578 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (6 papers), Cardiovascular Function and Risk Factors (6 papers), Congenital Heart Disease Studies (2 papers), Pulmonary Hypertension Research and Treatments (2 papers), Glycosylation and Glycoproteins Research (1 paper), Cardiovascular Disease and Adiposity (1 paper), Peptidase Inhibition and Analysis (1 paper) and Cardiovascular and Diving-Related Complications (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (457 citations), Radiology, Nuclear Medicine and Imaging (118 citations) and Pulmonary and Respiratory Medicine (154 citations). Seiichi Takao has collaborated with scholars based in Japan, United States and France. Frequent co-authors include M Shakudo, Junichi Yoshikawa, K Shiratori, Takashi Akasaka, F Okumachi, K Koizumi, Hiroshi Kato, K Yoshida, Naokazu Kinoshita and Hiroshi Sakakibara. Their work appears in journals such as Circulation, Biomarker Research, The American Journal of Cardiology, Heart and Heart Asia.

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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