Jun-ichi Inaba
Impact in
- Endocrinology top 5%
- Plant and Fungal Interactions Research
- Horticulture top 5%
Papers in
-
- Plant Virus Research Studies 12
- Plant Pathogenic Bacteria Studies 3
- Plant Molecular Biology Research 3
- Plant-Microbe Interactions and Immunity 3
-
- Protein Hydrolysis and Bioactive Peptides 3
- Co-authors
- Chikara Masuta (8 shared papers)Hanako Shimura (6 shared papers)Bo Min Kim (5 shared papers)Peter D. Nagy (7 shared papers)Kae Sueda (2 shared papers)Takeaki Ishihara (1 shared paper)Vitantonio Pantaleo (1 shared paper)József Burgyán (1 shared paper)
- Journals
- Journal of Virology (4 papers)Proceedings of the National Academy of Sciences (2 papers)Plant Signaling & Behavior (2 papers)PLoS Pathogens (2 papers)The Plant Journal (1 paper)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Jun-ichi Inaba
18 papers receiving 738 citations
Peers
Comparison fields: 5 of 52
- Endocrinology 158
- Horticulture 29
- Plant Science 645
- Insect Science 104
- Biotechnology 40
Countries citing papers authored by Jun-ichi Inaba
This map shows the geographic impact of Jun-ichi Inaba'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-ichi Inaba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-ichi Inaba more than expected).
Fields of papers citing papers by Jun-ichi Inaba
This network shows the impact of papers produced by Jun-ichi Inaba. 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-ichi Inaba. The network helps show where Jun-ichi Inaba may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-ichi Inaba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 239 | |
| 2 | 2011 | 105 | |
| 3 | 2010 | 89 | |
| 4 | 2017 | 41 | |
| 5 | 2017 | 39 | |
| 6 | 2017 | 31 | |
| 7 | 2020 | 27 | |
| 8 | 2019 | 26 | |
| 9 | 2011 | 25 | |
| 10 | 2020 | 24 | |
| 11 | 2018 | 24 | |
| 12 | 2014 | 22 | |
| 13 | 2011 | 18 | |
| 14 | 2012 | 16 | |
| 15 | 2010 | 14 | |
| 16 | 2021 | 8 | |
| 17 | 2016 | 5 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 |
About Jun-ichi Inaba
Jun-ichi Inaba is a scholar working on Plant Science, Molecular Biology, Endocrinology, Microbiology and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 754 indexed citations. Recurring topics across this work include Plant Virus Research Studies (12 papers), Plant and Fungal Interactions Research (4 papers), Plant Pathogenic Bacteria Studies (3 papers), Plant Molecular Biology Research (3 papers), Antimicrobial Peptides and Activities (3 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Plant-Microbe Interactions and Immunity (3 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Endocrinology (158 citations), Horticulture (29 citations), Plant Science (645 citations), Insect Science (104 citations) and Biotechnology (40 citations). Jun-ichi Inaba has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Chikara Masuta, Hanako Shimura, Bo Min Kim, Peter D. Nagy, Kae Sueda, Takeaki Ishihara, Vitantonio Pantaleo, József Burgyán, Keith Davis and Nikolay Kovalev. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Plant Signaling & Behavior, PLoS Pathogens and The Plant Journal.
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.