Tsutomu Fujii
- Oncology top 0.2%
- Pancreatic and Hepatic Oncology Research 135
- Cancer Research top 1%
- Hepatology top 1%
- Pulmonary and Respiratory Medicine top 0.5%
- Gastric Cancer Management and Outcomes 51
- Gallbladder and Bile Duct Disorders 27
- Gastroenterology top 1%
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- Pancreatitis Pathology and Treatment 57
- Cholangiocarcinoma and Gallbladder Cancer Studies 27
- Esophageal and GI Pathology 26
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- Neuroendocrine Tumor Research Advances 38
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- Cancer-related gene regulation 23
- Co-authors
- Yasuhiro KoderaSuguru YamadaHiroyuki SugimotoShuji NomotoAkimasa NakaoShin TakedaMitsuro KandaMichitaka Fujiwara
- Cited by
- OncologyCancer ResearchHepatology
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Tsutomu Fujii
306 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Oncology 5.2k
- Cancer Research 1.4k
- Hepatology 705
- Pulmonary and Respiratory Medicine 2.9k
- Gastroenterology 427
Countries citing papers authored by Tsutomu Fujii
This map shows the geographic impact of Tsutomu Fujii'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 Tsutomu Fujii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsutomu Fujii more than expected).
Fields of papers citing papers by Tsutomu Fujii
This network shows the impact of papers produced by Tsutomu Fujii. 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 Tsutomu Fujii. The network helps show where Tsutomu Fujii may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tsutomu Fujii, 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 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 7 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 0 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 7 | |
| 17 | 2020 | 11 | |
| 18 | 2015 | 9 | |
| 19 | Mouse model of CCl4-induced HCC: histopathological changes and expression of EGF and CD133 | 2008 | 0 |
| 20 | 2007 | 3 |
About Tsutomu Fujii
Tsutomu Fujii is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Gastroenterology, having authored 330 papers that have together received 8.7k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (135 papers), Pancreatitis Pathology and Treatment (57 papers), Gastric Cancer Management and Outcomes (51 papers), Neuroendocrine Tumor Research Advances (38 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (27 papers), Gallbladder and Bile Duct Disorders (27 papers), Esophageal and GI Pathology (26 papers) and Cancer-related gene regulation (23 papers). The work is most often cited by research in Oncology (5.2k citations), Cancer Research (1.4k citations) and Hepatology (705 citations). Tsutomu Fujii has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Yasuhiro Kodera, Suguru Yamada, Hiroyuki Sugimoto, Shuji Nomoto, Akimasa Nakao, Shin Takeda, Mitsuro Kanda, Michitaka Fujiwara, Goro Nakayama and Masahiko Koike. Their work appears in journals such as JAMA, Nature Communications and Journal of Clinical Oncology.
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.