T. Fujimori
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Computational Mechanics top 2%
- Molecular Biology
- Co-authors
- Kaoru MarutaHirokazu FukuiNam Il KimJohji ImuraTakuya KataokaShungo KatoTakeshi YokomoriYasushi Sano
- Topics
- Gastric Cancer Management and Outcomes (11 papers)Genetic factors in colorectal cancer (9 papers)Gastrointestinal Tumor Research and Treatment (7 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
T. Fujimori
84 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 127
- Oncology 761
- Pulmonary and Respiratory Medicine 459
- Surgery 428
- Computational Mechanics 396
- Molecular Biology 377
Countries citing papers authored by T. Fujimori
This map shows the geographic impact of T. Fujimori'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 T. Fujimori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Fujimori more than expected).
Fields of papers citing papers by T. Fujimori
This network shows the impact of papers produced by T. Fujimori. 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 T. Fujimori. The network helps show where T. Fujimori may publish in the future.
Co-authorship network of co-authors of T. Fujimori
This figure shows the co-authorship network connecting the top 25 collaborators of T. Fujimori. A scholar is included among the top collaborators of T. Fujimori 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 T. Fujimori. T. Fujimori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 79 | |
| 6 | 70 | |
| 7 | 1 | |
| 8 | A MEK inhibitor (U0126) markedly inhibits direct liver invasion of orthotopically inoculated human gallbladder cancer cells in nude mice. | 18 |
| 9 | 9 | |
| 10 | 19 | |
| 11 | 13 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 7 | |
| 16 | 72 | |
| 17 | 2 | |
| 18 | 60 | |
| 19 | Autopsy rates in medical schools and hospitals in Japan. | 3 |
| 20 | Biomass and primary production in forests of three major vegetation zones of the northwestern United States. | 44 |
About T. Fujimori
T. Fujimori is a scholar working on Gastroenterology, Oncology and Pathology and Forensic Medicine, having authored 90 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (11 papers), Genetic factors in colorectal cancer (9 papers) and Gastrointestinal Tumor Research and Treatment (7 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (321 citations), Oncology (761 citations) and Gastroenterology (129 citations). T. Fujimori has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kaoru Maruta, Hirokazu Fukui, Nam Il Kim, Johji Imura, Takuya Kataoka, Shungo Kato, Takeshi Yokomori, Yasushi Sano, Sohei Kitazawa and Kazuhito Ichikawa. Their work appears in journals such as Journal of Biological Chemistry, Gastroenterology and Gut.
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.