Akio Fukui

555 total citations
30 papers, 396 citations indexed

About

Akio Fukui is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Akio Fukui has authored 30 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Surgery. Recurrent topics in Akio Fukui's work include Cardiovascular Function and Risk Factors (14 papers), Cardiac Imaging and Diagnostics (8 papers) and Cardiac Valve Diseases and Treatments (5 papers). Akio Fukui is often cited by papers focused on Cardiovascular Function and Risk Factors (14 papers), Cardiac Imaging and Diagnostics (8 papers) and Cardiac Valve Diseases and Treatments (5 papers). Akio Fukui collaborates with scholars based in Japan, United States and Ireland. Akio Fukui's co-authors include Isao Kubota, Osamu Hirono, Hitonobu Tomoike, Yasuchika Takeishi, Takanori Arimoto, Naoki Nozaki, Masaki Okuyama, Takuya Miyamoto, Joji Nitobe and Seiji Yamaguchi and has published in prestigious journals such as Journal of Applied Physiology, The American Journal of Cardiology and Clinical Chemistry.

In The Last Decade

Akio Fukui

27 papers receiving 379 citations

Peers

Akio Fukui
Comparison fields: 5 of 70
  • Cardiology and Cardiovascular Medicine 256
  • Radiology, Nuclear Medicine and Imaging 89
  • Molecular Biology 73
  • Surgery 52
  • Nephrology 46
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Citations per field, relative to Akio Fukui
Akio Fukui · 1×
Citations per year, relative to Akio Fukui
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Countries citing papers authored by Akio Fukui

Since Specialization
Citations

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

Fields of papers citing papers by Akio Fukui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Fukui

This figure shows the co-authorship network connecting the top 25 collaborators of Akio Fukui. A scholar is included among the top collaborators of Akio Fukui 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 Akio Fukui. Akio Fukui 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
# Work Indexed citations
1 0
2 0
3 1
4 7
5 7
6 0
7 3
8 71
9
Serum heart-type fatty acid binding protein predicts cardiac events in elderly patients with chronic heart failure.
14
10 69
11 9
12 18
13 17
14 4
15 24
16 5
17 11
18 64
19
-362-EFFECT OF HEART RATE ON THE RIGHT AND LEFT VENTRICULAR END-SYSTOLIC PRESSURE-VOLUME RELATIONSHIP : Ventricular Function : FREE COMMUNICATIONS(II) : PROCEEDINGS OF THE 53th ANNUAL SCIENTIFIC MEETING OF THE JAPANESE CIRCULATION SOCIETY
1
20
[The effects of enflurane and isoflurane on the regional blood flow and arteriovenous shunt in various organs in dogs].
1

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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