Yasuji Ryu
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
Papers in
- Hepatology 16
- Hepatocellular Carcinoma Treatment and Prognosis 15
- Liver Disease and Transplantation 6
-
- MRI in cancer diagnosis 6
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Osamu MatsuiToshifumi GabataSatoshi KobayashiKazuto KozakaShiro MiyayamaTetsuya MinamiAzusa KitaoJunichiro Sanada
- Journals
- European Journal of Radiology (3 papers)Journal of Vascular and Interventional Radiology (2 papers)PLoS ONE (2 papers)Hepatology International (1 paper)International Journal of Computer Assisted Radiology and Surgery (1 paper)
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Yasuji Ryu
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Hepatology 690
- Epidemiology 373
- Radiology, Nuclear Medicine and Imaging 242
- Cell Biology 96
- Cancer Research 85
Countries citing papers authored by Yasuji Ryu
This map shows the geographic impact of Yasuji Ryu'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 Yasuji Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuji Ryu more than expected).
Fields of papers citing papers by Yasuji Ryu
This network shows the impact of papers produced by Yasuji Ryu. 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 Yasuji Ryu. The network helps show where Yasuji Ryu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasuji Ryu, 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 | 2024 | 0 | |
| 2 | 2022 | 0 | |
| 3 | 2020 | 13 | |
| 4 | 2020 | 0 | |
| 5 | 2016 | 1 | |
| 6 | 2015 | 42 | |
| 7 | 2014 | 40 | |
| 8 | 2013 | 31 | |
| 9 | 2012 | 24 | |
| 10 | 2012 | 17 | |
| 11 | 2012 | 20 | |
| 12 | 2011 | 0 | |
| 13 | 2011 | 167 | |
| 14 | 2010 | 15 | |
| 15 | 2009 | 22 | |
| 16 | 2007 | 8 | |
| 17 | 2007 | 33 | |
| 18 | 2006 | 3 | |
| 19 | 2005 | 113 | |
| 20 | 2005 | 21 |
About Yasuji Ryu
Yasuji Ryu is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Surgery and Genetics, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Liver Disease Diagnosis and Treatment (12 papers), MRI in cancer diagnosis (6 papers), Liver Disease and Transplantation (6 papers), Gastrointestinal disorders and treatments (3 papers), Colorectal Cancer Screening and Detection (3 papers), Genetic and Kidney Cyst Diseases (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Hepatology (690 citations), Epidemiology (373 citations), Radiology, Nuclear Medicine and Imaging (242 citations), Cell Biology (96 citations) and Cancer Research (85 citations). Yasuji Ryu has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Osamu Matsui, Toshifumi Gabata, Satoshi Kobayashi, Kazuto Kozaka, Shiro Miyayama, Tetsuya Minami, Azusa Kitao, Junichiro Sanada, Kōichi Nakamura and Masashi Yamashiro. Their work appears in journals such as European Journal of Radiology, Journal of Vascular and Interventional Radiology, PLoS ONE, Hepatology International and International Journal of Computer Assisted Radiology and 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.