Hidekatsu Shibata
- Pulmonary and Respiratory Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Molecular Biology
- Oncology
- Co-authors
- Hiroaki NomoriYasuomi OhbaTakeshi MoriShinya ShiraishiKentaro YoshimotoKoei IkedaKenji ShiraishiHironori Kobayashi
- Topics
- Lung Cancer Diagnosis and Treatment (13 papers)Medical Imaging Techniques and Applications (6 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaCancerJournal of Thoracic and Cardiovascular Surgery
- Partner nations
- JapanUnited States
In The Last Decade
Hidekatsu Shibata
32 papers receiving 493 citations
Peers
Comparison fields: 5 of 63
- Pulmonary and Respiratory Medicine 280
- Radiology, Nuclear Medicine and Imaging 133
- Surgery 77
- Molecular Biology 73
- Oncology 66
Countries citing papers authored by Hidekatsu Shibata
This map shows the geographic impact of Hidekatsu Shibata'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 Hidekatsu Shibata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidekatsu Shibata more than expected).
Fields of papers citing papers by Hidekatsu Shibata
This network shows the impact of papers produced by Hidekatsu Shibata. 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 Hidekatsu Shibata. The network helps show where Hidekatsu Shibata may publish in the future.
Co-authorship network of co-authors of Hidekatsu Shibata
This figure shows the co-authorship network connecting the top 25 collaborators of Hidekatsu Shibata. A scholar is included among the top collaborators of Hidekatsu Shibata 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 Hidekatsu Shibata. Hidekatsu Shibata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 34 | |
| 9 | 10 | |
| 10 | 12 | |
| 11 | 11 | |
| 12 | 53 | |
| 13 | 48 | |
| 14 | 42 | |
| 15 | 35 | |
| 16 | 9 | |
| 17 | 8 | |
| 18 | 22 | |
| 19 | 21 | |
| 20 | 14 |
About Hidekatsu Shibata
Hidekatsu Shibata is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 32 papers that have together received 500 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (13 papers), Medical Imaging Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (280 citations), Radiology, Nuclear Medicine and Imaging (133 citations) and Microbiology (4 citations). Hidekatsu Shibata has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroaki Nomori, Yasuomi Ohba, Takeshi Mori, Shinya Shiraishi, Kentaro Yoshimoto, Koei Ikeda, Kenji Shiraishi, Hironori Kobayashi, Toshiaki Kobayashi and Takeshi Mori. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer and Journal of Thoracic and Cardiovascular Surgery.
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.