Eitetsu Ko

695 citations
10 papers · 589 · h-index 8

Impact in

Papers in

Eitetsu Ko

10 papers receiving 557 citations

Peers

Eitetsu Ko
Comparison fields: 5 of 55
  • Endocrinology, Diabetes and Metabolism 261
  • Cardiology and Cardiovascular Medicine 112
  • Pulmonary and Respiratory Medicine 119
  • Genetics 89
  • Animal Science and Zoology 32
Replace Viju P. Deenadayalu with:
Viju P. Deenadayalu United States
Jennifer Hall United States
Eleni P. Kotanidou Greece
Philippe L. Selvais Belgium
Shinsuke Hiramatsu Japan
S. Munkgaard Rasmussen Denmark
Kim Pettersson-Fernholm Finland
Masahiro TAKAHASHI Japan
D. R. Boyns United Kingdom
Eitetsu Ko relative to Viju P. Deenadayalu United States Viju P. Deenadayalu's profile →
Citations per field
00.5×1.5×2×2.3×
Viju P. Deenadayalu · 1×
Citations per year

Countries citing papers authored by Eitetsu Ko

Since Specialization
Citations

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

Fields of papers citing papers by Eitetsu Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1996275
2 2012103
3 199752
4 199952
5 199749
6 199719
7 200518
8 199616
9 19974
10
Predictors of Refractory Restenosis after Percutaneous Transluminal Coronary Angioplasty
19951

About Eitetsu Ko

Eitetsu Ko is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 589 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (2 papers), Menopause: Health Impacts and Treatments (2 papers), Hormonal and reproductive studies (2 papers), Coronary Interventions and Diagnostics (2 papers), Cardiovascular Function and Risk Factors (1 paper), Cardiac Imaging and Diagnostics (1 paper), Lung Cancer Diagnosis and Treatment (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (261 citations), Cardiology and Cardiovascular Medicine (112 citations), Pulmonary and Respiratory Medicine (119 citations), Genetics (89 citations) and Animal Science and Zoology (32 citations). Eitetsu Ko has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Tony M. Chou, Krishnankutty Sudhir, Kanu Chatterjee, Stuart James Hutchison, Peter D. Collins, Thomas M. Amidon, Mitsuharu Miwa, Hideto Oishi, Yasuo Sekine and Christian Zellner. Their work appears in journals such as Circulation, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Cardiovascular Pharmacology, Journal of Thoracic and Cardiovascular Surgery and Surgical Endoscopy.

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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