Atsushi Takai
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis 19
- Liver physiology and pathology 7
- Hepatitis C virus research 7
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 10
- Oncology top 10%
- Pathology and Forensic Medicine top 10%
- Genetic factors in colorectal cancer 10
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- Cholangiocarcinoma and Gallbladder Cancer Studies 11
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- Liver Disease Diagnosis and Treatment 11
- Hepatitis B Virus Studies 6
- Co-authors
- Hiroyuki MarusawaYuji EsoHaruhiko TakedaXin Wei WangHiroshi SenoTakahiro ShimizuMarshonna ForguesKen Takahashi
- Cited by
- HepatologyCancer ResearchOncology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Hepatology (2 papers)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Atsushi Takai
66 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 79
- Hepatology 395
- Cancer Research 418
- Oncology 435
- Immunology 193
- Pathology and Forensic Medicine 160
Countries citing papers authored by Atsushi Takai
This map shows the geographic impact of Atsushi Takai'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 Atsushi Takai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Takai more than expected).
Fields of papers citing papers by Atsushi Takai
This network shows the impact of papers produced by Atsushi Takai. 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 Atsushi Takai. The network helps show where Atsushi Takai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Atsushi Takai, 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 | 2024 | 7 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 59 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 23 | |
| 12 | 2019 | 28 | |
| 13 | 2019 | 125 | |
| 14 | 2017 | 48 | |
| 15 | 2017 | 113 | |
| 16 | 2016 | 24 | |
| 17 | 2016 | 70 | |
| 18 | 2015 | 40 | |
| 19 | 2008 | 8 | |
| 20 | 1986 | 2 |
About Atsushi Takai
Atsushi Takai is a scholar working on Hepatology, Cancer Research and Pathology and Forensic Medicine, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (19 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers), Liver Disease Diagnosis and Treatment (11 papers), Cancer Genomics and Diagnostics (10 papers), Genetic factors in colorectal cancer (10 papers), Liver physiology and pathology (7 papers), Hepatitis C virus research (7 papers) and Hepatitis B Virus Studies (6 papers). The work is most often cited by research in Hepatology (395 citations), Cancer Research (418 citations) and Oncology (435 citations). Atsushi Takai has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hiroyuki Marusawa, Yuji Eso, Haruhiko Takeda, Xin Wei Wang, Hiroshi Seno, Takahiro Shimizu, Marshonna Forgues, Ken Takahashi, Tsutomu Chiba and Hien Dang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Hepatology and JNCI Journal of the National Cancer Institute.
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.