Jun‐ya Ueda
Impact in
- Pharmacology top 2%
- Microbial Natural Products and Biosynthesis
- Plant Science top 5%
- Medicinal Plant Research
- Phytochemistry and Biological Activities
Papers in
- Pharmacology 20
- Microbial Natural Products and Biosynthesis 19
- Medicinal Plant Pharmacodynamics Research 2
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- Bioactive Natural Diterpenoids Research 13
- Phytochemical compounds biological activities 7
- Bioactive natural compounds 5
- Phytochemical Studies and Bioactivities 3
- Co-authors
- Shigetoshi Kadota (16 shared papers)Yasuhiro Tezuka (15 shared papers)Suresh Awale (21 shared papers)Motoki Takagi (22 shared papers)Kazuo Shin‐ya (22 shared papers)Quan Le Tran (7 shared papers)Ikuo Saiki (7 shared papers)Arjun Hari BANSKOTA (5 shared papers)
In The Last Decade
Jun‐ya Ueda
53 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 65
- Pharmacology 350
- Plant Science 353
- Molecular Biology 549
- Organic Chemistry 254
- Biotechnology 52
Countries citing papers authored by Jun‐ya Ueda
This map shows the geographic impact of Jun‐ya Ueda'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‐ya Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐ya Ueda more than expected).
Fields of papers citing papers by Jun‐ya Ueda
This network shows the impact of papers produced by Jun‐ya Ueda. 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‐ya Ueda. The network helps show where Jun‐ya Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐ya Ueda, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 146 | |
| 2 | 2003 | 107 | |
| 3 | 2006 | 88 | |
| 4 | 2005 | 77 | |
| 5 | 2005 | 68 | |
| 6 | 2006 | 52 | |
| 7 | 2013 | 47 | |
| 8 | 2007 | 46 | |
| 9 | 2012 | 43 | |
| 10 | 2003 | 42 | |
| 11 | 2005 | 42 | |
| 12 | 2016 | 38 | |
| 13 | 2006 | 37 | |
| 14 | 2013 | 37 | |
| 15 | 2009 | 34 | |
| 16 | 2020 | 33 | |
| 17 | 2010 | 31 | |
| 18 | 2007 | 30 | |
| 19 | 2010 | 30 | |
| 20 | 2014 | 29 |
About Jun‐ya Ueda
Jun‐ya Ueda is a scholar working on Pharmacology, Molecular Biology, Organic Chemistry, Plant Science and Pharmacology, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (19 papers), Bioactive Natural Diterpenoids Research (13 papers), Phytochemical compounds biological activities (7 papers), Bioactive natural compounds (5 papers), Phytochemical Studies and Bioactivities (3 papers), Phytochemistry and Biological Activities (2 papers), Wood and Agarwood Research (2 papers) and Medicinal Plant Pharmacodynamics Research (2 papers). The work is most often cited by research in Pharmacology (350 citations), Plant Science (353 citations), Molecular Biology (549 citations), Organic Chemistry (254 citations) and Biotechnology (52 citations). Jun‐ya Ueda has collaborated with scholars based in Japan, Vietnam and Thailand. Frequent co-authors include Shigetoshi Kadota, Yasuhiro Tezuka, Suresh Awale, Motoki Takagi, Kazuo Shin‐ya, Quan Le Tran, Ikuo Saiki, Arjun Hari BANSKOTA, Qui Kim Tran and Mai Thanh Thi Nguyen. Their work appears in journals such as The Journal of Antibiotics, Journal of Natural Products, Bioorganic & Medicinal Chemistry Letters, Biological and Pharmaceutical Bulletin and Planta Medica.
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.