Tetsuro Shimura

1.1k citations
54 papers · 819 · h-index 12

Impact in

Papers in

Tetsuro Shimura

49 papers receiving 802 citations

Peers

Tetsuro Shimura
Comparison fields: 5 of 36
  • Geriatrics and Gerontology 87
  • Cardiology and Cardiovascular Medicine 548
  • Epidemiology 148
  • Radiology, Nuclear Medicine and Imaging 86
  • Pulmonary and Respiratory Medicine 104
Replace Marian Hawkey with:
Marian Hawkey United States
Ai Kagase Japan
Fumiaki Yashima Japan
Ryo Yanagisawa Japan
Soh Hosoba Japan
Yuko Morikami Japan
Akihiro Komasa Japan
Tomoki Ochiai Japan
Benoît DeVarennes Canada
Dorota Studzińska Poland
Tetsuro Shimura relative to Marian Hawkey United States Marian Hawkey's profile →
Citations per field
00.5×2×3×
Marian Hawkey · 1×
Citations per year

Countries citing papers authored by Tetsuro Shimura

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuro Shimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017234
2 201665
3 201859
4 201658
5 201749
6 201644
7 201739
8 201230
9 201719
10 202019
11 201816
12 201614
13 201212
14 202011
15 201511
16 201811
17 202010
18 202110
19 201910
20 20228

About Tetsuro Shimura

Tetsuro Shimura is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Epidemiology, Pulmonary and Respiratory Medicine and Surgery, having authored 54 papers that have together received 819 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (37 papers), Cardiac Imaging and Diagnostics (10 papers), Infective Endocarditis Diagnosis and Management (9 papers), Cardiovascular Function and Risk Factors (7 papers), Coronary Interventions and Diagnostics (7 papers), Atrial Fibrillation Management and Outcomes (3 papers), Aortic Disease and Treatment Approaches (3 papers) and Nutrition and Health in Aging (2 papers). The work is most often cited by research in Geriatrics and Gerontology (87 citations), Cardiology and Cardiovascular Medicine (548 citations), Epidemiology (148 citations), Radiology, Nuclear Medicine and Imaging (86 citations) and Pulmonary and Respiratory Medicine (104 citations). Tetsuro Shimura has collaborated with scholars based in Japan and United States. Frequent co-authors include Masanori Yamamoto, Ai Kagase, Norio Tada, Kentaro Hayashida, Yutaka Koyama, Motoharu Araki, Atsuko Kodama, Yusuke Watanabe, Seiji Kano and Futoshi Yamanaka. Their work appears in journals such as Journal of the American Heart Association, The American Journal of Cardiology, Catheterization and Cardiovascular Interventions, Cardiovascular Intervention and Therapeutics and American Heart Journal.

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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