Tadashi Miyamoto

2.5k citations
95 papers · 2.0k indexed · h-index 27

Tadashi Miyamoto

92 papers receiving 1.9k citations

Peers

Tadashi Miyamoto
Comparison fields: 5 of 115
  • Molecular Medicine 180
  • Virology 103
  • Endocrinology 106
  • Cardiology and Cardiovascular Medicine 469
  • Animal Science and Zoology 202
Replace Cartesio Favalli with:
Cartesio Favalli Italy
Gabriele Sass United States
Warren Thomas Ireland
Jonathan J. Hansen United States
Parviz Ahmad‐Nejad Germany
Seungmin Hwang United States
Samuel L. Jones United States
Marcus Mühlbauer United States
Sun‐Young Chang South Korea
Aldo Tagliabue Italy
Tadashi Miyamoto relative to Cartesio Favalli Italy Cartesio Favalli's profile →
Citations per field
00.5×9.2×
Cartesio Favalli · 1×
Citations per year

Countries citing papers authored by Tadashi Miyamoto

Since Specialization
Citations

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

Fields of papers citing papers by Tadashi Miyamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20241
4 20231
5 20203
6 20201
7 201913
8 20189
9 201815
10 201685
11 20162
12 20129
13
PJ-342 Epicardial Fat Assessed by Multi-Detector Computed Tomography (MDCT) is a New Risk Factor of Coronary Artery Disease in Non-obese Patients(PJ058,CT/MRI (Coronary/Vascular) 1 (I),Poster Session (Japanese),The 73rd Annual Scientific Meeting of The Japanese Circulation Society)
20091
14
A Case of Intravascular Ultrasound Catheter Entrapment after Radius Stent Implantation
20052
15 200338
16 200213
17 200129
18 2001122
19 19994
20 19943

About Tadashi Miyamoto

Tadashi Miyamoto is a scholar working on Molecular Medicine, Endocrinology and Virology, having authored 95 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Heart Failure Treatment and Management (7 papers), Cardiac pacing and defibrillation studies (6 papers), HIV Research and Treatment (5 papers), Viral Infections and Immunology Research (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Liver physiology and pathology (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Molecular Medicine (180 citations), Virology (103 citations) and Endocrinology (106 citations). Tadashi Miyamoto has collaborated with scholars based in Japan, United States and Sri Lanka. Frequent co-authors include Akira Matsumori, Shigetake Sasayama, Hyun S. Lillehoj, Wongi Min, Koh Ono, Masaharu Okada, Atsushi Iwasaki, Kazumi Sasai, Eiichiroh Baba and Masatake Hara. Their work appears in journals such as Nucleic Acids Research, Circulation and SHILAP Revista de lepidopterología.

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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