Akira Ukimura

1.2k citations
47 papers · 750 · h-index 15

Impact in

Papers in

Akira Ukimura

43 papers receiving 730 citations

Peers

Akira Ukimura
Comparison fields: 5 of 79
  • Cardiology and Cardiovascular Medicine 318
  • Microbiology 8
  • Molecular Medicine 43
  • Endocrine and Autonomic Systems 58
  • Infectious Diseases 152
Replace R Latham with:
R Latham Australia
Ichidai Kudoh Japan
M Degeorges France
Rosemarijn Renckens Netherlands
Konstantina Gartzonika Greece
Montserrat Rigol Spain
Siyi He China
Nikhil Kothari India
Jean‐Claude Merle France
Shyamal K. Sanyal United States
Akira Ukimura relative to R Latham Australia R Latham's profile →
Citations per field
00.5×7.6×
R Latham · 1×
Citations per year

Countries citing papers authored by Akira Ukimura

Since Specialization
Citations

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

Fields of papers citing papers by Akira Ukimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Akira Ukimura, 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 Akira Ukimura Line = papers co-authored together Akira Ukimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200095
2 201270
3 201063
4 200851
5 201344
6 201134
7 200934
8 201232
9 201629
10 201024
11 201922
12 201020
13 200820
14 201420
15 201417
16 201414
17 200314
18 199813
19 202112
20 201812

About Akira Ukimura

Akira Ukimura is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 47 papers that have together received 750 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (20 papers), Cardiovascular Effects of Exercise (7 papers), Obstructive Sleep Apnea Research (5 papers), Cardiac Structural Anomalies and Repair (4 papers), Neuroscience of respiration and sleep (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Sarcoidosis and Beryllium Toxicity Research (3 papers) and Infective Endocarditis Diagnosis and Management (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (318 citations), Microbiology (8 citations), Molecular Medicine (43 citations), Endocrine and Autonomic Systems (58 citations) and Infectious Diseases (152 citations). Akira Ukimura has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Yasushi Kitaura, Yumiko Kanzaki, Tohru Izumi, Akira Matsumori, Hirofumi Deguchi, Tetsuya Hayashi, Tatsuhiko Mori, Yasuo Matsumura, Shigekazu Fujioka and Masatoshi Miyamura. Their work appears in journals such as Circulation Journal, American Journal of Physiology-Heart and Circulatory Physiology, Scientific Reports, Modern Rheumatology and European Journal of Cancer.

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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