Yuki Suzuki
- Radiology, Nuclear Medicine and Imaging
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Surgery
- Co-authors
- Noriyuki TomiyamaShoji KidoHitoshi SuzukiYoshinobu SatoShin-Ichi ShimodaS.R. BloomS ShimodaYoshito Otake
- Topics
- Radiomics and Machine Learning in Medical Imaging (10 papers)COVID-19 diagnosis using AI (7 papers)Medical Imaging Techniques and Applications (6 papers)
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Yuki Suzuki
30 papers receiving 330 citations
Peers
Comparison fields: 5 of 95
- Radiology, Nuclear Medicine and Imaging 109
- Molecular Biology 62
- Pulmonary and Respiratory Medicine 58
- Biomedical Engineering 56
- Surgery 43
Countries citing papers authored by Yuki Suzuki
This map shows the geographic impact of Yuki Suzuki'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 Yuki Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuki Suzuki more than expected).
Fields of papers citing papers by Yuki Suzuki
This network shows the impact of papers produced by Yuki Suzuki. 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 Yuki Suzuki. The network helps show where Yuki Suzuki may publish in the future.
Co-authorship network of co-authors of Yuki Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Yuki Suzuki. A scholar is included among the top collaborators of Yuki Suzuki 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 Yuki Suzuki. Yuki Suzuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 12 | |
| 8 | 14 | |
| 9 | 26 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | 19 | |
| 14 | 12 | |
| 15 | 20 | |
| 16 | 11 | |
| 17 | 22 | |
| 18 | 11 | |
| 19 | 7 | |
| 20 | 8 |
About Yuki Suzuki
Yuki Suzuki is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 31 papers that have together received 334 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), COVID-19 diagnosis using AI (7 papers) and Medical Imaging Techniques and Applications (6 papers). The work is most often cited by research in Health Informatics (19 citations), Radiology, Nuclear Medicine and Imaging (109 citations) and Neurology (40 citations). Yuki Suzuki has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Noriyuki Tomiyama, Shoji Kido, Hitoshi Suzuki, Yoshinobu Sato, Shin-Ichi Shimoda, S.R. Bloom, S Shimoda, Yoshito Otake, Naoki Ishihara and Masatoshi Hori. Their work appears in journals such as PLANT PHYSIOLOGY, Stroke and Scientific Reports.
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.