Koichi Sano

1.3k citations
43 papers · 835 · h-index 17

Impact in

Papers in

Koichi Sano

43 papers receiving 813 citations

Peers

Koichi Sano
Comparison fields: 5 of 65
  • Radiology, Nuclear Medicine and Imaging 339
  • Cardiology and Cardiovascular Medicine 247
  • Surgery 465
  • Pulmonary and Respiratory Medicine 135
  • Internal Medicine 10
Replace Ludger Sieverding with:
Ludger Sieverding Germany
Jack T. Cusma United States
Alexander J. Wardeh Netherlands
Akhlaque Uddin United Kingdom
Geraint Morton United Kingdom
M Amiel France
Dietrich G. W. Onnasch Germany
Niall Keenan United Kingdom
J. P. Roos Netherlands
Leonard G. Christie United States
Koichi Sano relative to Ludger Sieverding Germany Ludger Sieverding's profile →
Citations per field
00.5×1.5×
Ludger Sieverding · 1×
Citations per year

Countries citing papers authored by Koichi Sano

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Sano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200993
2 200588
3 198869
4 200763
5 200750
6 200541
7 200738
8 200636
9 200723
10 202221
11 199420
12 201820
13 202119
14 202119
15 201518
16 201217
17 200816
18
Mathematical Model Errors and Their Compensations of IPM Motor Control System
200815
19 202115
20 200613

About Koichi Sano

Koichi Sano is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 835 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (16 papers), Cardiac Imaging and Diagnostics (13 papers), Acute Myocardial Infarction Research (10 papers), Advanced MRI Techniques and Applications (5 papers), Cardiac Valve Diseases and Treatments (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Advanced Image Fusion Techniques (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (339 citations), Cardiology and Cardiovascular Medicine (247 citations), Surgery (465 citations), Pulmonary and Respiratory Medicine (135 citations) and Internal Medicine (10 citations). Koichi Sano has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Jeffrey W. Moses, Martin B. Leon, Gary S. Mintz, Gregg W. Stone, J. Ribamar Costa, Stéphane Carlier, Akira Maeda, Tōru Yokoyama, Kenichi Fujii and Joanna Lui. Their work appears in journals such as The American Journal of Cardiology, Journal of Cardiology, Circulation Journal, Heart and Vessels and Journal of Atherosclerosis and Thrombosis.

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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