Masao Ohto
- Hepatology top 0.1%
- Epidemiology top 0.5%
- Surgery top 1%
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Masao OmataOsamu YokosukaMasaaki EbaraKei HosodaHiromitsu SaishoToshiki EhataShoichi MatsutaniKunio Kimura
- Topics
- Liver Disease Diagnosis and Treatment (59 papers)Hepatocellular Carcinoma Treatment and Prognosis (52 papers)Hepatitis C virus research (34 papers)
- Cited by
- HepatologyEpidemiologyOncology
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Masao Ohto
189 papers receiving 6.9k citations
Peers
Comparison fields: 5 of 127
- Hepatology 4.3k
- Epidemiology 3.6k
- Surgery 2.0k
- Oncology 1.3k
- Pulmonary and Respiratory Medicine 925
Countries citing papers authored by Masao Ohto
This map shows the geographic impact of Masao Ohto'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 Masao Ohto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masao Ohto more than expected).
Fields of papers citing papers by Masao Ohto
This network shows the impact of papers produced by Masao Ohto. 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 Masao Ohto. The network helps show where Masao Ohto may publish in the future.
Co-authorship network of co-authors of Masao Ohto
This figure shows the co-authorship network connecting the top 25 collaborators of Masao Ohto. A scholar is included among the top collaborators of Masao Ohto 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 Masao Ohto. Masao Ohto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 3 | |
| 3 | 26 | |
| 4 | 0 | |
| 5 | Neural Network Approach to Characterization of Cirrhotic Parenchymal Echo Patterns | 5 |
| 6 | 8 | |
| 7 | 2 | |
| 8 | Color Doppler for analysis of tumor blood flow: Tissue characterization of liver tumor | 1 |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | A combination treatment of transcatheter arterial embolization (TAE) and irradiation for hepatocellular carcinoma (HCC) | 4 |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 49 | |
| 16 | Cholangiographic features in hepatolithiasis. | 3 |
| 17 | [Clinical efficacy of transcatheter arterial embolization in hepatocellular carcinoma--evaluation in comparison with hepatic artery infusion chemotherapy]. | 3 |
| 18 | 1 | |
| 19 | 1 | |
| 20 | [Percutaneous transhepatic cholangiography]. | 1 |
About Masao Ohto
Masao Ohto is a scholar working on Hepatology, Epidemiology and Cancer Research, having authored 192 papers that have together received 7.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (59 papers), Hepatocellular Carcinoma Treatment and Prognosis (52 papers) and Hepatitis C virus research (34 papers). The work is most often cited by research in Hepatology (4.3k citations), Epidemiology (3.6k citations) and Oncology (1.3k citations). Masao Ohto has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masao Omata, Osamu Yokosuka, Masaaki Ebara, Kei Hosoda, Hiromitsu Saisho, Toshiki Ehata, Shoichi Matsutani, Kunio Kimura, Fumio Imazeki and Kunio Okuda. Their work appears in journals such as New England Journal of Medicine, The Lancet and Nucleic Acids Research.
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.