Akinori Kanai
- Molecular Biology top 10%
- Hematology top 2%
- Immunology top 10%
- Cancer Research top 10%
- Epidemiology
- Co-authors
- Hirotaka MatsuiToshiya InabaYutaka SuzukiSumio SuganoAkihiko YokoyamaHiroshi OkudaAkiko NagamachiHiroaki Honda
- Topics
- Acute Myeloid Leukemia Research (21 papers)Epigenetics and DNA Methylation (20 papers)Genomics and Chromatin Dynamics (12 papers)
- Cited by
- HematologyAgingMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
Akinori Kanai
75 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.2k
- Hematology 458
- Immunology 281
- Cancer Research 231
- Epidemiology 211
Countries citing papers authored by Akinori Kanai
This map shows the geographic impact of Akinori Kanai'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 Akinori Kanai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akinori Kanai more than expected).
Fields of papers citing papers by Akinori Kanai
This network shows the impact of papers produced by Akinori Kanai. 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 Akinori Kanai. The network helps show where Akinori Kanai may publish in the future.
Co-authorship network of co-authors of Akinori Kanai
This figure shows the co-authorship network connecting the top 25 collaborators of Akinori Kanai. A scholar is included among the top collaborators of Akinori Kanai 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 Akinori Kanai. Akinori Kanai 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 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 18 | |
| 12 | 13 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | 13 | |
| 16 | 16 | |
| 17 | 26 | |
| 18 | 13 | |
| 19 | 103 | |
| 20 | [Case of late onset and isolated lattice corneal dystrophy with Asn544Ser (N544S) mutation of transforming growth factor beta-induced (TGFBI, BIGH3) gene]. | 12 |
About Akinori Kanai
Akinori Kanai is a scholar working on Hematology, Molecular Biology and Cancer Research, having authored 82 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Epigenetics and DNA Methylation (20 papers) and Genomics and Chromatin Dynamics (12 papers). The work is most often cited by research in Hematology (458 citations), Aging (44 citations) and Molecular Biology (1.2k citations). Akinori Kanai has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Hirotaka Matsui, Toshiya Inaba, Yutaka Suzuki, Sumio Sugano, Akihiko Yokoyama, Hiroshi Okuda, Akiko Nagamachi, Hiroaki Honda, Takeshi Kawamura and Kousuke Tanimoto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.