Eitetsu Ko

693 citations
11 papers · 582 · h-index 8

Impact in

Papers in

Eitetsu Ko

11 papers receiving 552 citations

Peers

Eitetsu Ko
Comparison fields: 5 of 56
  • Endocrinology, Diabetes and Metabolism 259
  • Cardiology and Cardiovascular Medicine 110
  • Pulmonary and Respiratory Medicine 119
  • Genetics 87
  • Animal Science and Zoology 31
Replace Thomas M. Amidon with:
Thomas M. Amidon United States
Viju P. Deenadayalu United States
Katerina Saltiki Greece
Christopher J. Malkin United Kingdom
Jeanne Hejna United States
Eleni P. Kotanidou Greece
Matthew Molitch United States
Kim Pettersson-Fernholm Finland
Eitetsu Ko relative to Thomas M. Amidon United States Thomas M. Amidon's profile →
Citations per field
00.5×3.3×
Thomas M. Amidon · 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

11 of 11 papers shown
#Work
1 1996274
2 201297
3 199752
4 199951
5 199746
6 199719
7 200518
8 199616
9 19974
10
[The influence of intraoperative oxygen inhalation on patients with idiopathic pulmonary fibrosis].
20114
11
Predictors of Refractory Restenosis after Percutaneous Transluminal Coronary Angioplasty
19951

About Eitetsu Ko

Eitetsu Ko is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 582 indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (2 papers), Pulmonary Hypertension Research and Treatments (2 papers), Hormonal and reproductive studies (2 papers), Coronary Interventions and Diagnostics (2 papers), Heart Failure Treatment and Management (1 paper), Estrogen and related hormone effects (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Inhalation and Respiratory Drug Delivery (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (259 citations), Cardiology and Cardiovascular Medicine (110 citations), Pulmonary and Respiratory Medicine (119 citations), Genetics (87 citations) and Animal Science and Zoology (31 citations). Eitetsu Ko has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Tony M. Chou, Krishnankutty Sudhir, Kanu Chatterjee, Stuart J. Hutchison, Thomas M. Amidon, Peter Collins, Yasuo Sekine, Hideto Oishi, Mitsuharu Miwa and Christian Zellner. Their work appears in journals such as Circulation, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Thoracic and Cardiovascular Surgery, Surgical Endoscopy and Journal of Cardiovascular Pharmacology.

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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