Kazuki Ito
- Cardiology and Cardiovascular Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Surgery
- Hepatology top 5%
- Co-authors
- Akihiro AzumaShuji KatohHiroki SugiharaMasao NakagawaToshiro OdaMasaru KurosawaYoko Nekooki-MachidaMotomasa Tanaka
- Topics
- Cardiac Imaging and Diagnostics (16 papers)Cardiovascular Function and Risk Factors (10 papers)Takotsubo Cardiomyopathy and Associated Phenomena (6 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Kazuki Ito
72 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 118
- Cardiology and Cardiovascular Medicine 358
- Radiology, Nuclear Medicine and Imaging 266
- Molecular Biology 248
- Surgery 226
- Hepatology 154
Countries citing papers authored by Kazuki Ito
This map shows the geographic impact of Kazuki Ito'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 Kazuki Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuki Ito more than expected).
Fields of papers citing papers by Kazuki Ito
This network shows the impact of papers produced by Kazuki Ito. 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 Kazuki Ito. The network helps show where Kazuki Ito may publish in the future.
Co-authorship network of co-authors of Kazuki Ito
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuki Ito. A scholar is included among the top collaborators of Kazuki Ito based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kazuki Ito. Kazuki Ito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | Development of JAUS-compliant sensor module for autonomous mobile robots | 1 |
| 11 | C-6-1 Preparations of CdTe Thin Films on Sapphire Substrates having Several Conducting Layers | 1 |
| 12 | 182 | |
| 13 | 2 | |
| 14 | 21 | |
| 15 | [Assessment of microcirculation disturbance with nuclear cardiology in a patient with coronary ectasia: a case report]. | 0 |
| 16 | 112 | |
| 17 | 1 | |
| 18 | 20 | |
| 19 | 3 | |
| 20 | 25 |
About Kazuki Ito
Kazuki Ito is a scholar working on General Engineering, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 83 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (16 papers), Cardiovascular Function and Risk Factors (10 papers) and Takotsubo Cardiomyopathy and Associated Phenomena (6 papers). The work is most often cited by research in Hepatology (154 citations), Cardiology and Cardiovascular Medicine (358 citations) and Radiology, Nuclear Medicine and Imaging (266 citations). Kazuki Ito has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Akihiro Azuma, Shuji Katoh, Hiroki Sugihara, Masao Nakagawa, Toshiro Oda, Masaru Kurosawa, Yoko Nekooki-Machida, Motomasa Tanaka, Nobuyuki Nukina and Nobuhiko Hosono. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.
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.