Takashi Terauchi
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 2%
- Pathology and Forensic Medicine top 1%
- Oncology top 5%
- Surgery top 10%
- Co-authors
- Ukihide TateishiHiromitsu DaisakiKensei TobinaiYasuaki AraiTomio InoueKunihiko SekiMichio SendaUmio Yamaguchi
- Topics
- Medical Imaging Techniques and Applications (49 papers)Radiomics and Machine Learning in Medical Imaging (30 papers)Lymphoma Diagnosis and Treatment (25 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takashi Terauchi
113 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 103
- Radiology, Nuclear Medicine and Imaging 938
- Pulmonary and Respiratory Medicine 860
- Pathology and Forensic Medicine 801
- Oncology 789
- Surgery 287
Countries citing papers authored by Takashi Terauchi
This map shows the geographic impact of Takashi Terauchi'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 Takashi Terauchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Terauchi more than expected).
Fields of papers citing papers by Takashi Terauchi
This network shows the impact of papers produced by Takashi Terauchi. 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 Takashi Terauchi. The network helps show where Takashi Terauchi may publish in the future.
Co-authorship network of co-authors of Takashi Terauchi
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Terauchi. A scholar is included among the top collaborators of Takashi Terauchi 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 Takashi Terauchi. Takashi Terauchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | Can 18F-FDG PET predict the grade of malignancy in thymic epithelial tumors? An evaluation of only resected tumors | 1 |
| 9 | 16 | |
| 10 | Detection of thyroid cancer by an FDG-PET cancer screening program: a Japanese nation-wide survey. | 1 |
| 11 | 56 | |
| 12 | 45 | |
| 13 | 25 | |
| 14 | 9 | |
| 15 | 7 | |
| 16 | 10 | |
| 17 | Risk-benefit Analysis of ^ FDG PET Cancer Screening | 1 |
| 18 | 27 | |
| 19 | 21 | |
| 20 | 17 |
About Takashi Terauchi
Takashi Terauchi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 120 papers that have together received 2.6k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (49 papers), Radiomics and Machine Learning in Medical Imaging (30 papers) and Lymphoma Diagnosis and Treatment (25 papers). The work is most often cited by research in Pathology and Forensic Medicine (801 citations), Radiology, Nuclear Medicine and Imaging (938 citations) and Oncology (789 citations). Takashi Terauchi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Ukihide Tateishi, Hiromitsu Daisaki, Kensei Tobinai, Yasuaki Arai, Tomio Inoue, Kunihiko Seki, Michio Senda, Umio Yamaguchi, Yoshihiro Matsuno and Ryogo Minamimoto. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.