Tomo Ando

2.9k citations
163 papers · 2.1k · h-index 23

Impact in

Papers in

Tomo Ando

158 papers receiving 2.0k citations

Peers

Tomo Ando
Comparison fields: 5 of 89
  • Cardiology and Cardiovascular Medicine 1.3k
  • Internal Medicine 80
  • Epidemiology 439
  • Pulmonary and Respiratory Medicine 327
  • Critical Care and Intensive Care Medicine 39
Replace Sa’ar Minha with:
Sa’ar Minha United States
Garima Arora United States
James R. Edgerton United States
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Mert İlker Hayıroğlu Türkiye
Martha R. Stroud United States
Serkan Çay Türkiye
Özcan Özeke Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Tomo Ando

Since Specialization
Citations

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

Fields of papers citing papers by Tomo Ando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020127
2 201797
3 201862
4 201850
5 201950
6 201645
7 201944
8 201943
9 201741
10 201734
11 202033
12
Physiological adaptation of the left ventricle during the second and third trimesters of a healthy pregnancy: a speckle tracking echocardiography study.
201530
13 201730
14 201830
15 201930
16 201629
17 201628
18 201827
19 202027
20 201726

About Tomo Ando

Tomo Ando is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Internal Medicine, having authored 163 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (92 papers), Infective Endocarditis Diagnosis and Management (26 papers), Aortic Disease and Treatment Approaches (19 papers), Mechanical Circulatory Support Devices (12 papers), Cardiac, Anesthesia and Surgical Outcomes (11 papers), Cardiovascular Function and Risk Factors (10 papers), Atrial Fibrillation Management and Outcomes (9 papers) and Cardiac Structural Anomalies and Repair (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Internal Medicine (80 citations), Epidemiology (439 citations), Pulmonary and Respiratory Medicine (327 citations) and Critical Care and Intensive Care Medicine (39 citations). Tomo Ando has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Hisato Takagi, Alexandros Briasoulis, TOSHIKI KUNO, Takuya Umemoto, Yosuke Hari, Luis Afonso, Cindy Lee Grines, Emmanuel O. Akintoye, Kouki Nakashima and Tesfaye A. Telila. Their work appears in journals such as The American Journal of Cardiology, Catheterization and Cardiovascular Interventions, International Journal of Cardiology, The Journal of Cardiovascular Surgery and Journal of the American College of Cardiology.

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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