Tai Hato
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Lung Cancer Diagnosis and Treatment 10
- Medical Imaging and Pathology Studies 4
- Pleural and Pulmonary Diseases 3
- Surgery 11
- Co-authors
- Andrew X. Zhu (8 shared papers)Dan G. Duda (7 shared papers)Yuichi Oike (3 shared papers)Mitsuhisa Tabata (3 shared papers)Rakesh K. Jain (5 shared papers)Nabeel Bardeesy (4 shared papers)Rakesh R. Ramjiawan (4 shared papers)Peigen Huang (4 shared papers)
- Journals
- Hepatology (3 papers)Journal of Thoracic Oncology (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)Nature Protocols (1 paper)Scientific Reports (1 paper)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Tai Hato
36 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 90
- Hepatology 362
- Oncology 822
- Cancer Research 379
- Immunology 522
- Cardiology and Cardiovascular Medicine 266
Countries citing papers authored by Tai Hato
This map shows the geographic impact of Tai Hato'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 Tai Hato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai Hato more than expected).
Fields of papers citing papers by Tai Hato
This network shows the impact of papers produced by Tai Hato. 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 Tai Hato. The network helps show where Tai Hato may publish in the future.
Co-authors
The 25 scholars most cited alongside Tai Hato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 370 | |
| 2 | 2019 | 308 | |
| 3 | 2008 | 292 | |
| 4 | 2014 | 186 | |
| 5 | 2015 | 121 | |
| 6 | 2016 | 116 | |
| 7 | 2015 | 86 | |
| 8 | 2015 | 57 | |
| 9 | 2008 | 43 | |
| 10 | 2009 | 35 | |
| 11 | 2015 | 32 | |
| 12 | 2010 | 27 | |
| 13 | 2018 | 27 | |
| 14 | 2014 | 26 | |
| 15 | 2015 | 19 | |
| 16 | 2013 | 17 | |
| 17 | 2013 | 9 | |
| 18 | 2014 | 9 | |
| 19 | 2019 | 5 | |
| 20 | 2011 | 5 |
About Tai Hato
Tai Hato is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (10 papers), Cancer Immunotherapy and Biomarkers (7 papers), Cancer, Hypoxia, and Metabolism (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Medical Imaging and Pathology Studies (4 papers), Pleural and Pulmonary Diseases (3 papers), Cardiac tumors and thrombi (3 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). The work is most often cited by research in Hepatology (362 citations), Oncology (822 citations), Cancer Research (379 citations), Immunology (522 citations) and Cardiology and Cardiovascular Medicine (266 citations). Tai Hato has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Andrew X. Zhu, Dan G. Duda, Yuichi Oike, Mitsuhisa Tabata, Rakesh K. Jain, Nabeel Bardeesy, Rakesh R. Ramjiawan, Peigen Huang, Hiroki Ochiai and Shuji Kitahara. Their work appears in journals such as Hepatology, Journal of Thoracic Oncology, International Journal of Radiation Oncology*Biology*Physics, Nature Protocols and Scientific Reports.
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.