Tetsuya Ikemoto
- Surgery top 2%
- Oncology top 2%
- Molecular Biology top 10%
- Hepatology top 1%
- Cancer Research top 5%
- Co-authors
- Mitsuo ShimadaYuji MorineSatoru ImuraYu SaitoShinichiro YamadaShuichi IwahashiTohru UtsunomiyaYusuke Arakawa
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (44 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (39 papers)Pancreatic function and diabetes (32 papers)
- Cited by
- HepatologyOncologyCancer Research
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaGastroenterology
- Partner nations
- JapanUnited StatesSpain
In The Last Decade
Tetsuya Ikemoto
227 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 125
- Surgery 1.5k
- Oncology 1.1k
- Molecular Biology 1.1k
- Hepatology 861
- Cancer Research 612
Countries citing papers authored by Tetsuya Ikemoto
This map shows the geographic impact of Tetsuya Ikemoto'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 Tetsuya Ikemoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Ikemoto more than expected).
Fields of papers citing papers by Tetsuya Ikemoto
This network shows the impact of papers produced by Tetsuya Ikemoto. 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 Tetsuya Ikemoto. The network helps show where Tetsuya Ikemoto may publish in the future.
Co-authorship network of co-authors of Tetsuya Ikemoto
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Ikemoto. A scholar is included among the top collaborators of Tetsuya Ikemoto 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 Tetsuya Ikemoto. Tetsuya Ikemoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 27 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 9 | |
| 11 | 21 | |
| 12 | 33 | |
| 13 | 2 | |
| 14 | 21 | |
| 15 | 9 | |
| 16 | 21 | |
| 17 | 10 | |
| 18 | 41 | |
| 19 | Loss of SFRP1 Expression Is Associated with Poor Prognosis in Hepatocellular Carcinoma. | 18 |
| 20 | Valproic acid enhances the anti-tumor effect of pegylated interferon-α towards pancreatic cancer cell lines. | 3 |
About Tetsuya Ikemoto
Tetsuya Ikemoto is a scholar working on Hepatology, Surgery and Cancer Research, having authored 240 papers that have together received 3.8k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (44 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (39 papers) and Pancreatic function and diabetes (32 papers). The work is most often cited by research in Hepatology (861 citations), Oncology (1.1k citations) and Cancer Research (612 citations). Tetsuya Ikemoto has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Mitsuo Shimada, Yuji Morine, Satoru Imura, Yu Saito, Shinichiro Yamada, Shuichi Iwahashi, Tohru Utsunomiya, Yusuke Arakawa, Jun Hanaoka and Hiroki Mori. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.
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.