Yasuo Ono

4.7k citations
178 papers · 3.5k · h-index 31

Impact in

Papers in

Yasuo Ono

172 papers receiving 3.3k citations

Peers

Yasuo Ono
Comparison fields: 5 of 130
  • Molecular Medicine 604
  • Cardiology and Cardiovascular Medicine 1.3k
  • Endocrinology 291
  • Applied Microbiology and Biotechnology 109
  • Pulmonary and Respiratory Medicine 889
Replace Riccardo Utili with:
Riccardo Utili Italy
François Guérin France
Olga Zaborina United States
R. Williamson France
Gülşen Hasçelik Türkiye
Sun Hoe Koo South Korea
George Ν. Dalekos Greece
John Merlino United States
Jesús Navas Spain
Jonathan Jantsch Germany
Yasuo Ono relative to Riccardo Utili Italy Riccardo Utili's profile →
Citations per field
00.5×3.9×
Riccardo Utili · 1×
Citations per year

Countries citing papers authored by Yasuo Ono

Since Specialization
Citations

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

Fields of papers citing papers by Yasuo Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999475
2 1986174
3 2005134
4 2003103
5 200485
6 200184
7 200184
8 200179
9 201870
10 199264
11 200263
12 200960
13 201652
14 201448
15 200148
16 198746
17 200446
18 201942
19 201642
20 199040

About Yasuo Ono

Yasuo Ono is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine and Immunology, having authored 178 papers that have together received 3.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (33 papers), Congenital Heart Disease Studies (31 papers), Coronary Artery Anomalies (24 papers), Kawasaki Disease and Coronary Complications (21 papers), Antibiotics Pharmacokinetics and Efficacy (18 papers), Cardiovascular Issues in Pregnancy (14 papers), Cardiac Arrhythmias and Treatments (13 papers) and Immune Response and Inflammation (13 papers). The work is most often cited by research in Molecular Medicine (604 citations), Cardiology and Cardiovascular Medicine (1.3k citations), Endocrinology (291 citations), Applied Microbiology and Biotechnology (109 citations) and Pulmonary and Respiratory Medicine (889 citations). Yasuo Ono has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Shigeyuki Echigo, Tsuneyuki Ubagai, Tetsuro Kamiya, Satoshi Nishida, Atsuko Suzuki, Toshikatsu Yagihara, Yoshinori Sato, Osamu Yamada, Hideo Ohuchi and Takane Kikuchi‐Ueda. Their work appears in journals such as Circulation Journal, Heart and Vessels, Chemotherapy, Circulation and Diagnostic Microbiology and Infectious Disease.

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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