Suzushi Kusano
- Pulmonary and Respiratory Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Biomedical Engineering
- Surgery
- Co-authors
- Takeshi NawaTohru NakagawaHajime NakataTetsuya MizoueToru NakagawaYukunori KorogiTakatoshi AokiShuichiro Yamamoto
- Topics
- Lung Cancer Diagnosis and Treatment (7 papers)Ultrasound and Hyperthermia Applications (6 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
- Journals
- Diabetes CareRadiologyCHEST Journal
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Suzushi Kusano
17 papers receiving 470 citations
Peers
Comparison fields: 5 of 64
- Pulmonary and Respiratory Medicine 323
- Radiology, Nuclear Medicine and Imaging 208
- Oncology 112
- Biomedical Engineering 68
- Surgery 42
Countries citing papers authored by Suzushi Kusano
This map shows the geographic impact of Suzushi Kusano'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 Suzushi Kusano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzushi Kusano more than expected).
Fields of papers citing papers by Suzushi Kusano
This network shows the impact of papers produced by Suzushi Kusano. 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 Suzushi Kusano. The network helps show where Suzushi Kusano may publish in the future.
Co-authorship network of co-authors of Suzushi Kusano
This figure shows the co-authorship network connecting the top 25 collaborators of Suzushi Kusano. A scholar is included among the top collaborators of Suzushi Kusano 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 Suzushi Kusano. Suzushi Kusano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 24 | |
| 3 | 5 | |
| 4 | 89 | |
| 5 | 0 | |
| 6 | 249 | |
| 7 | [Prevalence of emphysematous changes as shown by low-dose spiral CT screening images in 6144 healthy subjects]. | 7 |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 12 | |
| 12 | 13 | |
| 13 | 8 | |
| 14 | Penetrating injury of the vertebral artery caused by a nail gun: preoperative embolization. | 2 |
| 15 | 3 | |
| 16 | [A penetrating injury of the extracranial vertebral artery: a case report]. | 1 |
| 17 | [Differential diagnosis between osseous metastasis and degenerative joint disease of the vertebrae by bone SPECT: analysis by accumulation pattern]. | 4 |
| 18 | 4 |
About Suzushi Kusano
Suzushi Kusano is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation, having authored 18 papers that have together received 482 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (7 papers), Ultrasound and Hyperthermia Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (323 citations), Radiology, Nuclear Medicine and Imaging (208 citations) and Oncology (112 citations). Suzushi Kusano has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takeshi Nawa, Tohru Nakagawa, Hajime Nakata, Tetsuya Mizoue, Toru Nakagawa, Yukunori Korogi, Takatoshi Aoki, Shuichiro Yamamoto, Yumi Matsushita and Takeshi Hayashi. Their work appears in journals such as Diabetes Care, Radiology and CHEST Journal.
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.