Hitoshi Akedo
- Molecular Biology top 5%
- Oncology top 5%
- Cell Biology top 2%
- Cancer Research top 5%
- Immunology top 5%
- Co-authors
- Mutsuko MukaiKiyoko ShinkaiKiyoko YoshiokaKazuyuki ItohMasayoshi UehataToshimasa IshizakiShuh NarumiyaTeruo Iwasaki
- Topics
- Liver physiology and pathology (8 papers)Cancer Research and Treatments (8 papers)Cancer Cells and Metastasis (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Medicine
- Partner nations
- JapanBelgiumUnited States
In The Last Decade
Hitoshi Akedo
95 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 2.1k
- Oncology 793
- Cell Biology 641
- Cancer Research 582
- Immunology 549
Countries citing papers authored by Hitoshi Akedo
This map shows the geographic impact of Hitoshi Akedo'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 Hitoshi Akedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Akedo more than expected).
Fields of papers citing papers by Hitoshi Akedo
This network shows the impact of papers produced by Hitoshi Akedo. 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 Hitoshi Akedo. The network helps show where Hitoshi Akedo may publish in the future.
Co-authorship network of co-authors of Hitoshi Akedo
This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Akedo. A scholar is included among the top collaborators of Hitoshi Akedo 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 Hitoshi Akedo. Hitoshi Akedo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 61 | |
| 2 | 17 | |
| 3 | 4 | |
| 4 | 73 | |
| 5 | 29 | |
| 6 | An essential part for Rho–associated kinase in the transcellular invasion of tumor cellsbreakdown → | 536 |
| 7 | [Reoperation after the Fontan operation in single ventricle and tricuspid atresia]. | 1 |
| 8 | 43 | |
| 9 | 12 | |
| 10 | 122 | |
| 11 | 20 | |
| 12 | 23 | |
| 13 | 23 | |
| 14 | 6 | |
| 15 | 167 | |
| 16 | 40 | |
| 17 | 9 | |
| 18 | 97 | |
| 19 | 4 | |
| 20 | 35 |
About Hitoshi Akedo
Hitoshi Akedo is a scholar working on Biotechnology, Immunology and Allergy and Hepatology, having authored 96 papers that have together received 3.5k indexed citations. Recurring topics across this work include Liver physiology and pathology (8 papers), Cancer Research and Treatments (8 papers) and Cancer Cells and Metastasis (8 papers). The work is most often cited by research in Immunology and Allergy (351 citations), Cell Biology (641 citations) and Cancer Research (582 citations). Hitoshi Akedo has collaborated with scholars based in Japan, Belgium and United States. Frequent co-authors include Mutsuko Mukai, Kiyoko Shinkai, Kiyoko Yoshioka, Kazuyuki Itoh, Masayoshi Uehata, Toshimasa Ishizaki, Shuh Narumiya, Teruo Iwasaki, Masaharu Tatsuta and Hiroyuki Nakamura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.
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.