Katsuji Inoue
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- Cardiovascular Function and Risk Factors 56
- Cardiomyopathy and Myosin Studies 29
- Atrial Fibrillation Management and Outcomes 18
- Cardiac Arrhythmias and Treatments 16
- Cardiac Valve Diseases and Treatments 14
- Cardiac pacing and defibrillation studies 12
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- Cardiac Imaging and Diagnostics 33
- Surgery top 10%
- Cardiac Structural Anomalies and Repair 18
Katsuji Inoue
123 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Cardiology and Cardiovascular Medicine 1.1k
- Radiology, Nuclear Medicine and Imaging 446
- Surgery 310
- Pulmonary and Respiratory Medicine 133
- Nephrology 27
Countries citing papers authored by Katsuji Inoue
This map shows the geographic impact of Katsuji Inoue'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 Katsuji Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsuji Inoue more than expected).
Fields of papers citing papers by Katsuji Inoue
This network shows the impact of papers produced by Katsuji Inoue. 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 Katsuji Inoue. The network helps show where Katsuji Inoue may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Katsuji Inoue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 10 | |
| 13 | 2021 | 3 | |
| 14 | 2021 | 11 | |
| 15 | 2020 | 3 | |
| 16 | 2017 | 36 | |
| 17 | PE-143 Patients with a Hypertensive Response to Light Exercise Have Impaired Left Ventricular Diastolic Function in the Absence of Resting Hypertension(Cardiac function, basic/clinical-2, The 71st Annual Scientific Meeting of the Japanese Circulation Society) | 2007 | 1 |
| 18 | 2005 | 19 | |
| 19 | Relationship between Myocardial Fibrosis Using Gadolinium-DTPA Enhanced Magnetic Resonance Imaging and Left Ventricular Function in Hypertrophic Cardiomyopathy | 2003 | 5 |
| 20 | Increased Circulating Levels of Procollagen Peptides in Patients with Hypertrophic Cardiomyopathy | 2002 | 0 |
About Katsuji Inoue
Katsuji Inoue is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 135 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (56 papers), Cardiac Imaging and Diagnostics (33 papers), Cardiomyopathy and Myosin Studies (29 papers), Atrial Fibrillation Management and Outcomes (18 papers), Cardiac Structural Anomalies and Repair (18 papers), Cardiac Arrhythmias and Treatments (16 papers), Cardiac Valve Diseases and Treatments (14 papers) and Cardiac pacing and defibrillation studies (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Radiology, Nuclear Medicine and Imaging (446 citations) and Surgery (310 citations). Katsuji Inoue has collaborated with scholars based in Japan, Norway and United States. Frequent co-authors include Kazuhisa Nishimura, Jitsuo Higaki, Akiyoshi Ogimoto, Hideki Okayama, Takumi Sumimoto, Jun Suzuki, Go Hiasa, Haruhiko Higashi, Takayuki Nagai and Shinji Inaba. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.
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.