Jun‐ichi Onose
Impact in
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis
- Fungal Biology and Applications
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
Papers in
-
- Ubiquitin and proteasome pathways 3
- Pharmacology 12
- Fungal Biology and Applications 6
- Synthesis of Organic Compounds 3
- Pharmacogenetics and Drug Metabolism 3
- Co-authors
- Naoki Abe (20 shared papers)Hiroyuki Koshino (12 shared papers)Yue Qi Ye (10 shared papers)Shunya Takahashi (10 shared papers)Kunie Yoshikawa (8 shared papers)Toshio Imai (12 shared papers)Mai Hasumura (11 shared papers)Young‐Man Cho (6 shared papers)
- Journals
- Bioscience Biotechnology and Biochemistry (6 papers)Bioorganic & Medicinal Chemistry Letters (6 papers)Cancer Letters (3 papers)Immunology Letters (2 papers)Cancer Science (2 papers)
- Partner nations
- JapanSri LankaUnited States
In The Last Decade
Jun‐ichi Onose
39 papers receiving 624 citations
Peers
Comparison fields: 5 of 82
- Pharmacology 155
- Biochemistry 45
- Biotechnology 57
- Pharmacology 41
- Organic Chemistry 127
Countries citing papers authored by Jun‐ichi Onose
This map shows the geographic impact of Jun‐ichi Onose'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 Onose 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 Onose more than expected).
Fields of papers citing papers by Jun‐ichi Onose
This network shows the impact of papers produced by Jun‐ichi Onose. 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 Onose. The network helps show where Jun‐ichi Onose may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐ichi Onose, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 67 | |
| 2 | 2013 | 55 | |
| 3 | 2009 | 41 | |
| 4 | 2002 | 35 | |
| 5 | 2007 | 31 | |
| 6 | 2006 | 30 | |
| 7 | 2008 | 27 | |
| 8 | 2003 | 26 | |
| 9 | 2011 | 23 | |
| 10 | 2014 | 22 | |
| 11 | 2013 | 21 | |
| 12 | 2009 | 20 | |
| 13 | 2012 | 19 | |
| 14 | 2004 | 19 | |
| 15 | 2007 | 19 | |
| 16 | 2009 | 17 | |
| 17 | 2000 | 15 | |
| 18 | 2009 | 14 | |
| 19 | 2005 | 13 | |
| 20 | 2008 | 11 |
About Jun‐ichi Onose
Jun‐ichi Onose is a scholar working on Molecular Biology, Pharmacology, Oncology, Pharmacology and Immunology, having authored 40 papers that have together received 642 indexed citations. Recurring topics across this work include Fungal Biology and Applications (6 papers), Mast cells and histamine (4 papers), Ubiquitin and proteasome pathways (3 papers), Synthesis of Organic Compounds (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Chemical synthesis and alkaloids (3 papers), Chemokine receptors and signaling (3 papers) and Herbal Medicine Research Studies (3 papers). The work is most often cited by research in Pharmacology (155 citations), Biochemistry (45 citations), Biotechnology (57 citations), Pharmacology (41 citations) and Organic Chemistry (127 citations). Jun‐ichi Onose has collaborated with scholars based in Japan, Sri Lanka and United States. Frequent co-authors include Naoki Abe, Hiroyuki Koshino, Yue Qi Ye, Shunya Takahashi, Kunie Yoshikawa, Toshio Imai, Mai Hasumura, Young‐Man Cho, Masao Hirose and Makoto Ueda. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Bioorganic & Medicinal Chemistry Letters, Cancer Letters, Immunology Letters and Cancer Science.
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.