Toshifumi Tada
- Hepatology top 0.1%
- Hepatocellular Carcinoma Treatment and Prognosis 92
- Hepatitis C virus research 74
- Liver Disease and Transplantation 44
- Liver Diseases and Immunity 12
- Epidemiology top 0.5%
- Liver Disease Diagnosis and Treatment 132
- Hepatitis B Virus Studies 49
- Cancer Research top 2%
- Cancer, Lipids, and Metabolism 8
- Oncology top 5%
- Surgery top 5%
- Cholangiocarcinoma and Gallbladder Cancer Studies 7
- Co-authors
- Takashi KumadaHidenori ToyodaPhilip J. JohnsonPaul B.S. LaiSarah BerhaneShinji SatomuraYasuhiro SoneStephen L. Chan
- Journals
- Journal of Clinical Oncology (4 papers)SHILAP Revista de lepidopterología (3 papers)PLoS ONE (1 paper)
- Partner nations
- JapanUnited KingdomHong Kong
In The Last Decade
Toshifumi Tada
166 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Hepatology 5.0k
- Epidemiology 4.1k
- Cancer Research 802
- Oncology 945
- Surgery 978
Countries citing papers authored by Toshifumi Tada
This map shows the geographic impact of Toshifumi Tada'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 Toshifumi Tada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshifumi Tada more than expected).
Fields of papers citing papers by Toshifumi Tada
This network shows the impact of papers produced by Toshifumi Tada. 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 Toshifumi Tada. The network helps show where Toshifumi Tada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Toshifumi Tada, 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 | 2025 | 0 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 0 | |
| 10 | 2020 | 36 | |
| 11 | 2020 | 22 | |
| 12 | 2020 | 6 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 25 | |
| 15 | 2019 | 31 | |
| 16 | 2019 | 7 | |
| 17 | Development of pre and post-operative models to predict early recurrence of hepatocellular carcinoma after surgical resectionbreakdown → | 2018 | 349 |
| 18 | 2018 | 149 | |
| 19 | 2016 | 22 | |
| 20 | 2015 | 77 |
About Toshifumi Tada
Toshifumi Tada is a scholar working on Hepatology, Epidemiology and Cancer Research, having authored 178 papers that have together received 6.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (132 papers), Hepatocellular Carcinoma Treatment and Prognosis (92 papers), Hepatitis C virus research (74 papers), Hepatitis B Virus Studies (49 papers), Liver Disease and Transplantation (44 papers), Liver Diseases and Immunity (12 papers), Cancer, Lipids, and Metabolism (8 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers). The work is most often cited by research in Hepatology (5.0k citations), Epidemiology (4.1k citations) and Cancer Research (802 citations). Toshifumi Tada has collaborated with scholars based in Japan, United Kingdom and Hong Kong. Frequent co-authors include Takashi Kumada, Hidenori Toyoda, Philip J. Johnson, Paul B.S. Lai, Sarah Berhane, Shinji Satomura, Yasuhiro Sone, Stephen L. Chan, Frankie Mo and Winnie Yeo. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.