Keiji Ujino

753 total citations
16 papers, 534 citations indexed

About

Keiji Ujino is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Keiji Ujino has authored 16 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Keiji Ujino's work include Cardiovascular Function and Risk Factors (11 papers), Cardiac Imaging and Diagnostics (7 papers) and Cardiac Valve Diseases and Treatments (5 papers). Keiji Ujino is often cited by papers focused on Cardiovascular Function and Risk Factors (11 papers), Cardiac Imaging and Diagnostics (7 papers) and Cardiac Valve Diseases and Treatments (5 papers). Keiji Ujino collaborates with scholars based in Japan, United States and Netherlands. Keiji Ujino's co-authors include James B. Seward, Teresa S.M. Tsang, Marion E. Barnes, S. Stephen, Kent R. Bailey, Jae K. Oh, Takeshi Hozumi, Kenichi Sugioka, Yoshiki Matsumura and Minoru Yoshiyama and has published in prestigious journals such as Circulation, European Heart Journal and The American Journal of Cardiology.

In The Last Decade

Keiji Ujino

15 papers receiving 518 citations

Peers

Keiji Ujino
Comparison fields: 5 of 43
  • Cardiology and Cardiovascular Medicine 467
  • Radiology, Nuclear Medicine and Imaging 255
  • Surgery 119
  • Biomedical Engineering 43
  • Pulmonary and Respiratory Medicine 35
Replace Soo-Jin Kang with:
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Martina Chantal de Knegt Denmark
Periyanan Vaduganathan United States
Norihiko Ohashi Japan
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Soo-Jin Kang South Korea View profile →
Citations per field, relative to Keiji Ujino
Keiji Ujino · 1×
Citations per year, relative to Keiji Ujino
Keiji Ujino · 1×

Countries citing papers authored by Keiji Ujino

Since Specialization
Citations

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

Fields of papers citing papers by Keiji Ujino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiji Ujino

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 3
3 4
4 39
5 17
6 51
7 170
8 75
9 65
10 41
11 10
12
PJ-022 Feasible and Accurate Measurement of Left Ventricular Volume and Ejection Fraction by New Real-Time Three-Dimensional Echocardiography(Echo/Doppler 2 (I) : PJ4)(Poster Session (Japanese))
1
13
Feasible and accurate measurement of left ventricular volume and ejection fraction by new real-time three-dimensional echocardiography
1
14 48
15 1
16 8

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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2026