Nobuo Fukuda

147 papers receiving 2.1k citations

Peers

Nobuo Fukuda
Comparison fields: 5 of 118
  • Cardiology and Cardiovascular Medicine 1.2k
  • Radiology, Nuclear Medicine and Imaging 669
  • Molecular Biology 593
  • Surgery 301
  • Pulmonary and Respiratory Medicine 187
Replace Maija Kaartinen with:
Maija Kaartinen Finland
Naoki Yoshida Japan
Tadashi Miyazaki Japan
Jacques Bonnet France
Aline Zimmer United States
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Denis B. Buxton United States
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Nobuo Fukuda relative to Maija Kaartinen Finland Maija Kaartinen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nobuo Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Nobuo Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuo Fukuda

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuo Fukuda. A scholar is included among the top collaborators of Nobuo Fukuda 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 Nobuo Fukuda. Nobuo Fukuda 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
#WorkIndexed citations
1 1
2 6
3 9
4 11
5 6
6 2
7 5
8 15
9 24
10 10
11 2
12 9
13 3
14
due to dysfunction of the Medtronic-Hall prosthetic valve in aortic position
0
15
-1002-EVALUATION OF PULMONARY VENOUS FLOW PATTERN IN PATIENTS WITH MITRAL VALVE DISEASE : A STUDY WITH TRANSESOPHAGEAL PULSED DOPPLER ECHOCARDIOGRAPHY : THE 54th ANNUAL SCIENTIFIC MEETING OF THE JAPANESE CIRCULATION SOCIETY
1
16
Analysis of flow velocity patterns in the superior vena cava and the pulmonary vein in cases of hypertrophic cardiomyopathy
5
17
NMR-CT in muscular disorders
1
18 1
19
Optimum fractionation regimen for bleomycin treatment.
0
20 1

About Nobuo Fukuda

Nobuo Fukuda is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 154 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (52 papers), Cardiac Valve Diseases and Treatments (23 papers) and Cardiac Imaging and Diagnostics (20 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Radiology, Nuclear Medicine and Imaging (669 citations) and Internal Medicine (45 citations). Nobuo Fukuda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hisanori Shinohara, Tomotsugu Tabata, Hirotsugu Yamada, Arata Íuchi, Yoshiyuki Tamura, Takashi Oki, Susumu Ito, Takeshi Soeki, Koichi Sakabe and Tetsuzo Wakatsuki. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Analytical Biochemistry.

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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