Jun‐ichiro Inoue
- Immunology top 0.05%
- Molecular Biology top 0.2%
- Cancer Research top 0.05%
- Oncology top 0.2%
- Agronomy and Crop Science top 0.2%
- Co-authors
- Motoharu SeikiJin GohdaMinoru YoshidaZhijian J. ChenTadatsugu TaniguchiGiridhar R. AkkarajuMei HongLi Deng
- Topics
- NF-κB Signaling Pathways (92 papers)Immune Response and Inflammation (54 papers)interferon and immune responses (38 papers)
- Cited by
- ImmunologyCancer ResearchOncology
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Jun‐ichiro Inoue
236 papers receiving 21.3k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Immunology 10.7k
- Molecular Biology 10.4k
- Cancer Research 6.9k
- Oncology 5.1k
- Agronomy and Crop Science 1.7k
Countries citing papers authored by Jun‐ichiro Inoue
This map shows the geographic impact of Jun‐ichiro Inoue'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 Jun‐ichiro Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐ichiro Inoue more than expected).
Fields of papers citing papers by Jun‐ichiro Inoue
This network shows the impact of papers produced by Jun‐ichiro Inoue. 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 Jun‐ichiro Inoue. The network helps show where Jun‐ichiro Inoue may publish in the future.
Co-authorship network of co-authors of Jun‐ichiro Inoue
This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐ichiro Inoue. A scholar is included among the top collaborators of Jun‐ichiro Inoue 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 Jun‐ichiro Inoue. Jun‐ichiro Inoue 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 | 2 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 13 | |
| 7 | 11 | |
| 8 | 19 | |
| 9 | Preliminary study on the effects of movement velocity training of the upper limbs on gait ability in older adults: a nonrandomized controlled trial | 0 |
| 10 | 26 | |
| 11 | 7 | |
| 12 | Preclinical Pharmacokinetics of Difluprednate Emulsion | 2 |
| 13 | 16 | |
| 14 | 201 | |
| 15 | 82 | |
| 16 | 8 | |
| 17 | 41 | |
| 18 | Lipopolysaccharide Stimulates the MyD88-Independent Pathway and Results in Activation of IFN-Regulatory Factor 3 and the Expression of a Subset of Lipopolysaccharide-Inducible Genesbreakdown → | 892 |
| 19 | 208 | |
| 20 | Indicial response of impact damper with granular material | 2 |
About Jun‐ichiro Inoue
Jun‐ichiro Inoue is a scholar working on Cancer Research, Immunology and Virology, having authored 239 papers that have together received 21.6k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (92 papers), Immune Response and Inflammation (54 papers) and interferon and immune responses (38 papers). The work is most often cited by research in Immunology (10.7k citations), Cancer Research (6.9k citations) and Oncology (5.1k citations). Jun‐ichiro Inoue has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Motoharu Seiki, Jin Gohda, Minoru Yoshida, Zhijian J. Chen, Tadatsugu Taniguchi, Giridhar R. Akkaraju, Mei Hong, Li Deng, Chen Wang and Shizuo Akira. Their work appears in journals such as Nature, Science and Cell.
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.