Takashi Terauchi
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- Lymphoma Diagnosis and Treatment 25
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- Medical Imaging Techniques and Applications 49
- Radiomics and Machine Learning in Medical Imaging 30
- Oncology top 5%
- Viral-associated cancers and disorders 13
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- Lung Cancer Diagnosis and Treatment 16
- Sarcoma Diagnosis and Treatment 15
- Medical Imaging and Pathology Studies 12
- Hepatology top 5%
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- Advanced Radiotherapy Techniques 10
- Co-authors
- Ukihide TateishiHiromitsu DaisakiKensei TobinaiYasuaki AraiTomio InoueKunihiko SekiMichio SendaUmio Yamaguchi
- Journals
- Journal of Clinical Oncology (5 papers)SHILAP Revista de lepidopterología (2 papers)Blood (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takashi Terauchi
113 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 103
- Pathology and Forensic Medicine 801
- Radiology, Nuclear Medicine and Imaging 938
- Oncology 789
- Pulmonary and Respiratory Medicine 860
- Hepatology 136
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
The 25 scholars most cited alongside Takashi Terauchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 1 | |
| 7 | 2017 | 7 | |
| 8 | Can 18F-FDG PET predict the grade of malignancy in thymic epithelial tumors? An evaluation of only resected tumors | 2017 | 1 |
| 9 | 2016 | 16 | |
| 10 | Detection of thyroid cancer by an FDG-PET cancer screening program: a Japanese nation-wide survey. | 2014 | 1 |
| 11 | 2012 | 56 | |
| 12 | 2011 | 45 | |
| 13 | 2011 | 25 | |
| 14 | 2010 | 9 | |
| 15 | 2009 | 7 | |
| 16 | 2009 | 10 | |
| 17 | Risk-benefit Analysis of ^ FDG PET Cancer Screening | 2008 | 1 |
| 18 | 2006 | 27 | |
| 19 | 2005 | 21 | |
| 20 | 1994 | 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), Lymphoma Diagnosis and Treatment (25 papers), Lung Cancer Diagnosis and Treatment (16 papers), Sarcoma Diagnosis and Treatment (15 papers), Viral-associated cancers and disorders (13 papers), Medical Imaging and Pathology Studies (12 papers) and Advanced Radiotherapy Techniques (10 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.