Yuko Tada

2.4k citations
55 papers · 1.6k · h-index 19

Impact in

Papers in

Yuko Tada

55 papers receiving 1.6k citations

Peers

Yuko Tada
Comparison fields: 5 of 108
  • Cardiology and Cardiovascular Medicine 666
  • Endocrinology, Diabetes and Metabolism 432
  • Nephrology 169
  • Cancer Research 155
  • Molecular Biology 639
Replace Elisabetta Faggin with:
Elisabetta Faggin Italy
Alkistis Kapelouzou Greece
Atsushi Moriguchi Japan
Alicia N. Lyle United States
Gianpaolo Zerbini Italy
Masayuki Hosoi Japan
G Ghigliotti Italy
Yasuhisa Okuno Japan
Hiroshi Shigematsu Japan
Gen Takagi Japan
Yuko Tada relative to Elisabetta Faggin Italy Elisabetta Faggin's profile →
Citations per field
00.5×3.5×
Elisabetta Faggin · 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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004349
2 2021174
3 2009119
4 2010107
5 202088
6 200485
7 202052
8 200452
9 201744
10 201243
11 200441
12 202140
13 201637
14 202025
15 201125
16 200322
17 201421
18 201420
19 201620
20
Disseminated intravascular coagulation caused by abdominal aortic aneurysm.
198818

About Yuko Tada

Yuko Tada is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (7 papers), Extracellular vesicles in disease (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Renin-Angiotensin System Studies (4 papers), Receptor Mechanisms and Signaling (4 papers), Transplantation: Methods and Outcomes (4 papers), Cardiac Imaging and Diagnostics (4 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (666 citations), Endocrinology, Diabetes and Metabolism (432 citations), Nephrology (169 citations), Cancer Research (155 citations) and Molecular Biology (639 citations). Yuko Tada has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Atsuhiro Ichihara, Yukako Koura, Matsuhiko Hayashi, Yuki Kaneshiro, Phillip C. Yang, Takao Saruta, Toshitsugu Sugimoto, Hirokazu Okada, Gentaro Ikeda and Evgeniya Vaskova. Their work appears in journals such as Journal of the American College of Cardiology, Heart and Vessels, Circulation Journal, Journal of the American Heart Association and Journal of Clinical Investigation.

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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