Yuko Tada

62 papers receiving 2.0k citations

Yuko Tada's Hit Papers

Mitochondria-Rich Extracellular Vesicles From Autologous Stem Cell–Derived Cardiomyocytes Restore Energetics of Ischemic Myocardium 2021 · 226 citations
2260+2+4Years since publication50100150200

Peers

Yuko Tada
Comparison fields: 5 of 112
  • Cardiology and Cardiovascular Medicine 680
  • Nephrology 168
  • Endocrinology, Diabetes and Metabolism 381
  • Cancer Research 157
  • Molecular Biology 667
Replace Paola Altieri with:
Paola Altieri Italy
Masashi Sakuma Japan
Mona Skjelland Norway
Christoph D. Garlichs Germany
Lixin Jia China
Raymond Q. Migrino United States
Giorgio Ghigliotti Italy
Sandra B. Haudek United States
Zhikun Guo China
Jie Hua Xu China
Yuko Tada relative to Paola Altieri Italy Paola Altieri's profile →
Citations per field
00.5×1.5×2.0×
Paola Altieri · 1×
Citations per year

Countries citing papers authored by Yuko Tada

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Tada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004379
2
Mitochondria-Rich Extracellular Vesicles From Autologous Stem Cell–Derived Cardiomyocytes Restore Energetics of Ischemic Myocardium
Hit paper breakdown →
2021226
3
Use of a supramolecular polymeric hydrogel as an effective post-operative pericardial adhesion barrier
Hit paper breakdown →
2019201
4 2009133
5 2010113
6 202097
7 200490
8 202054
9 200452
10 200447
11 202145
12 201745
13 202044
14 201243
15 201639
16 202029
17 201127
18 201424
19 200222
20 200321

About Yuko Tada

Yuko Tada is a scholar working on Cardiology and Cardiovascular Medicine, Periodontics, Surgery, Epidemiology and Pulmonary and Respiratory Medicine, having authored 65 papers that have together received 2.1k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (5 papers), Extracellular vesicles in disease (5 papers), Renin-Angiotensin System Studies (5 papers), Cardiac Imaging and Diagnostics (5 papers), RNA Interference and Gene Delivery (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Receptor Mechanisms and Signaling (4 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (680 citations), Nephrology (168 citations), Endocrinology, Diabetes and Metabolism (381 citations), Cancer Research (157 citations) and Molecular Biology (667 citations). Yuko Tada has collaborated with scholars based in United States, Japan and Hong Kong. Frequent co-authors include Phillip Chung-Ming Yang, Atsuhiro Ichihara, Yukako Koura, Matsuhiko Hayashi, Yuki Kaneshiro, Takao Saruta, Gentaro Ikeda, Toshitsugu Sugimoto, Evgeniya A. Vaskova and Hirokazu Okada. Their work appears in journals such as Journal of the American College of Cardiology, Heart and Vessels, Circulation Journal, Bone and Journal of Cardiovascular Magnetic Resonance.

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.

Explore authors with similar magnitude of impact