Eriko Tohno
Impact in
-
- Ultrasound Imaging and Elastography
- Hepatology top 5%
Papers in
-
- Breast Lesions and Carcinomas 22
- Hepatology 10
- Hepatocellular Carcinoma Treatment and Prognosis 9
- Co-authors
- Ei UenoHiroshi KammaTsuyoshi ShiinaTakeshi MatsumuraAko ItohHideto TakahashiMakoto YamakawaDavid O. Cosgrove
- Journals
- Ultrasound in Medicine & Biology (8 papers)Breast Cancer (8 papers)International Journal of Radiation Oncology*Biology*Physics (7 papers)Radiology (5 papers)Clinical Radiology (2 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Eriko Tohno
73 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Radiology, Nuclear Medicine and Imaging 1.6k
- Hepatology 289
- Pathology and Forensic Medicine 598
- Cancer Research 412
- Biomedical Engineering 994
Countries citing papers authored by Eriko Tohno
This map shows the geographic impact of Eriko Tohno'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 Eriko Tohno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eriko Tohno more than expected).
Fields of papers citing papers by Eriko Tohno
This network shows the impact of papers produced by Eriko Tohno. 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 Eriko Tohno. The network helps show where Eriko Tohno may publish in the future.
Co-authors
The 25 scholars most cited alongside Eriko Tohno, 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 | Sensitivity and specificity of mammography and adjunctive ultrasonography to screen for breast cancer in the Japan Strategic Anti-cancer Randomized Trial (J-START): a randomised controlled trial Hit paper breakdown → | 2015 | 381 |
| 2 | 2013 | 12 | |
| 3 | 2012 | 1 | |
| 4 | 2010 | 1 | |
| 5 | 2009 | 1 | |
| 6 | 2008 | 46 | |
| 7 | 2008 | 0 | |
| 8 | 2007 | 1 | |
| 9 | 2007 | 1 | |
| 10 | 2007 | 0 | |
| 11 | 2006 | 2 | |
| 12 | 2004 | 4 | |
| 13 | 2003 | 1 | |
| 14 | 2003 | 3 | |
| 15 | 2002 | 2 | |
| 16 | 2002 | 1 | |
| 17 | 2002 | 2 | |
| 18 | 2001 | 2 | |
| 19 | 2000 | 3 | |
| 20 | 1998 | 5 |
About Eriko Tohno
Eriko Tohno is a scholar working on Pathology and Forensic Medicine, Hepatology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Oncology, having authored 85 papers that have together received 3.0k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (22 papers), AI in cancer detection (14 papers), Global Cancer Incidence and Screening (13 papers), Breast Cancer Treatment Studies (13 papers), Ultrasound Imaging and Elastography (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), MRI in cancer diagnosis (8 papers) and Radiation Therapy and Dosimetry (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.6k citations), Hepatology (289 citations), Pathology and Forensic Medicine (598 citations), Cancer Research (412 citations) and Biomedical Engineering (994 citations). Eriko Tohno has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Ei Ueno, Hiroshi Kamma, Tsuyoshi Shiina, Takeshi Matsumura, Ako Itoh, Hideto Takahashi, Makoto Yamakawa, David O. Cosgrove, Noriaki Ohuchi and Jeffrey C. Bamber. Their work appears in journals such as Ultrasound in Medicine & Biology, Breast Cancer, International Journal of Radiation Oncology*Biology*Physics, Radiology and Clinical 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.