Ryutaro Kakinuma
- Pulmonary and Respiratory Medicine top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Oncology top 5%
- Surgery
- Molecular Biology
- Co-authors
- Hironobu OhmatsuMasahiro KanekoN. MoriyamaK. EguchiYutaka NishiwakiKanji NagaiK SuemasuTakashi Naruke
- Topics
- Lung Cancer Diagnosis and Treatment (70 papers)Radiomics and Machine Learning in Medical Imaging (63 papers)Medical Imaging Techniques and Applications (24 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Ryutaro Kakinuma
105 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Pulmonary and Respiratory Medicine 2.6k
- Radiology, Nuclear Medicine and Imaging 1.5k
- Oncology 855
- Surgery 241
- Molecular Biology 239
Countries citing papers authored by Ryutaro Kakinuma
This map shows the geographic impact of Ryutaro Kakinuma'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 Ryutaro Kakinuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryutaro Kakinuma more than expected).
Fields of papers citing papers by Ryutaro Kakinuma
This network shows the impact of papers produced by Ryutaro Kakinuma. 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 Ryutaro Kakinuma. The network helps show where Ryutaro Kakinuma may publish in the future.
Co-authorship network of co-authors of Ryutaro Kakinuma
This figure shows the co-authorship network connecting the top 25 collaborators of Ryutaro Kakinuma. A scholar is included among the top collaborators of Ryutaro Kakinuma 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 Ryutaro Kakinuma. Ryutaro Kakinuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 75 | |
| 2 | 13 | |
| 3 | 10 | |
| 4 | 8 | |
| 5 | 42 | |
| 6 | 13 | |
| 7 | 29 | |
| 8 | An Extraction Algorithm of Pulmonary Vein and Artery based on Multi-Slice CT Image | 1 |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 20 | |
| 12 | 73 | |
| 13 | 23 | |
| 14 | 60 | |
| 15 | 96 | |
| 16 | 187 | |
| 17 | 24 | |
| 18 | 34 | |
| 19 | Peripheral lung cancer: screening and detection with low-dose spiral CT versus radiography.breakdown → | 651 |
| 20 | 11 |
About Ryutaro Kakinuma
Ryutaro Kakinuma is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology, having authored 108 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (70 papers), Radiomics and Machine Learning in Medical Imaging (63 papers) and Medical Imaging Techniques and Applications (24 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.6k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Microbiology (26 citations). Ryutaro Kakinuma has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hironobu Ohmatsu, Masahiro Kaneko, N. Moriyama, K. Eguchi, Yutaka Nishiwaki, Kanji Nagai, K Suemasu, Takashi Naruke, Noriyuki Moriyama and Masahiko Kusumoto. Their work appears in journals such as Journal of Clinical Oncology, Cancer and Radiology.
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.