Akinori Ninomiya
- Epidemiology top 10%
- Hepatology top 5%
- Molecular Biology
- Immunology
- Agronomy and Crop Science top 10%
- Co-authors
- Yoshiharu MatsuuraTakasuke FukuharaTakayuki AbeYoshihiko MaeharaYuji SoejimaShinji OkanoAkinobu TaketomiTakashi Motomura
- Topics
- RNA regulation and disease (3 papers)Lysosomal Storage Disorders Research (3 papers)Influenza Virus Research Studies (2 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Akinori Ninomiya
21 papers receiving 555 citations
Peers
Comparison fields: 5 of 73
- Epidemiology 300
- Hepatology 166
- Molecular Biology 159
- Immunology 134
- Agronomy and Crop Science 84
Countries citing papers authored by Akinori Ninomiya
This map shows the geographic impact of Akinori Ninomiya'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 Ninomiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akinori Ninomiya more than expected).
Fields of papers citing papers by Akinori Ninomiya
This network shows the impact of papers produced by Akinori Ninomiya. 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 Ninomiya. The network helps show where Akinori Ninomiya may publish in the future.
Co-authorship network of co-authors of Akinori Ninomiya
This figure shows the co-authorship network connecting the top 25 collaborators of Akinori Ninomiya. A scholar is included among the top collaborators of Akinori Ninomiya 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 Ninomiya. Akinori Ninomiya 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 | 1 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 7 | |
| 8 | 26 | |
| 9 | 10 | |
| 10 | 31 | |
| 11 | 11 | |
| 12 | 39 | |
| 13 | 7 | |
| 14 | 20 | |
| 15 | 31 | |
| 16 | 160 | |
| 17 | 5 | |
| 18 | 71 | |
| 19 | 100 | |
| 20 | Tyrosine kinase is essential for the constitutive expression of type I interleukin-1 receptor in human fibroblast cells. | 3 |
About Akinori Ninomiya
Akinori Ninomiya is a scholar working on Toxicology, Hepatology and Virology, having authored 21 papers that have together received 570 indexed citations. Recurring topics across this work include RNA regulation and disease (3 papers), Lysosomal Storage Disorders Research (3 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Hepatology (166 citations), Epidemiology (300 citations) and Agronomy and Crop Science (84 citations). Akinori Ninomiya has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Yoshiharu Matsuura, Takasuke Fukuhara, Takayuki Abe, Yoshihiko Maehara, Yuji Soejima, Shinji Okano, Akinobu Taketomi, Takashi Motomura, Ken Shirabe and Hideaki Uchiyama. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.