Tsuyoshi Akiyoshi
- Molecular Biology top 10%
- Oncology top 2%
- Immunology top 2%
- Surgery top 10%
- Cancer Research top 5%
- Co-authors
- Masaki MoriHiroaki UeoKoshi MimoriKeizō SugimachiGraham F. BarnardHiroshi InoueShinya ArinagaK Sugimachi
- Topics
- Immune Cell Function and Interaction (32 papers)Immunotherapy and Immune Responses (25 papers)Genetic factors in colorectal cancer (11 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyGastroenterology
- Partner nations
- JapanUnited States
In The Last Decade
Tsuyoshi Akiyoshi
125 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.2k
- Oncology 1.1k
- Immunology 930
- Surgery 520
- Cancer Research 517
Countries citing papers authored by Tsuyoshi Akiyoshi
This map shows the geographic impact of Tsuyoshi Akiyoshi'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 Tsuyoshi Akiyoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuyoshi Akiyoshi more than expected).
Fields of papers citing papers by Tsuyoshi Akiyoshi
This network shows the impact of papers produced by Tsuyoshi Akiyoshi. 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 Tsuyoshi Akiyoshi. The network helps show where Tsuyoshi Akiyoshi may publish in the future.
Co-authorship network of co-authors of Tsuyoshi Akiyoshi
This figure shows the co-authorship network connecting the top 25 collaborators of Tsuyoshi Akiyoshi. A scholar is included among the top collaborators of Tsuyoshi Akiyoshi 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 Tsuyoshi Akiyoshi. Tsuyoshi Akiyoshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | Expression spectrum of melanoma antigen-encoding gene family members in colorectal carcinoma. | 26 |
| 3 | Coexpression of Grb7 with epidermal growth factor receptor or Her2/erbB2 in human advanced esophageal carcinoma. | 82 |
| 4 | 2 | |
| 5 | 95 | |
| 6 | 48 | |
| 7 | 92 | |
| 8 | 41 | |
| 9 | 39 | |
| 10 | 51 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | 52 | |
| 14 | 30 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 10 | |
| 19 | 14 | |
| 20 | 3 |
About Tsuyoshi Akiyoshi
Tsuyoshi Akiyoshi is a scholar working on Immunology, Oncology and Biotechnology, having authored 126 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (32 papers), Immunotherapy and Immune Responses (25 papers) and Genetic factors in colorectal cancer (11 papers). The work is most often cited by research in Immunology (930 citations), Oncology (1.1k citations) and Cancer Research (517 citations). Tsuyoshi Akiyoshi has collaborated with scholars based in Japan and United States. Frequent co-authors include Masaki Mori, Hiroaki Ueo, Koshi Mimori, Keizō Sugimachi, Graham F. Barnard, Hiroshi Inoue, Shinya Arinaga, K Sugimachi, Masaki Mori and Tatsuo Fujie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology 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.