Jun Deguchi
Impact in
- Pharmacology top 5%
- Alkaloids: synthesis and pharmacology
- Toxicology top 10%
Papers in
-
- Natural product bioactivities and synthesis 3
- Pharmacology 12
- Phytochemistry and Bioactivity Studies 6
- Alkaloids: synthesis and pharmacology 5
- Co-authors
- Hiroshi Morita (23 shared papers)Yusuke Hirasawa (20 shared papers)Hiroya Matsuo (3 shared papers)Takeshi Maruo (3 shared papers)Masahiro Ono (5 shared papers)Hideo Saji (5 shared papers)Kohei Sano (5 shared papers)Toshio Kaneda (9 shared papers)
In The Last Decade
Jun Deguchi
48 papers receiving 868 citations
Peers
Comparison fields: 5 of 100
- Pharmacology 104
- Toxicology 31
- Biochemistry 65
- Reproductive Medicine 66
- Pharmacology 107
Countries citing papers authored by Jun Deguchi
This map shows the geographic impact of Jun Deguchi'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 Deguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Deguchi more than expected).
Fields of papers citing papers by Jun Deguchi
This network shows the impact of papers produced by Jun Deguchi. 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 Deguchi. The network helps show where Jun Deguchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Deguchi, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 54 | |
| 2 | 1998 | 47 | |
| 3 | 2012 | 43 | |
| 4 | 2009 | 43 | |
| 5 | 2010 | 38 | |
| 6 | 2009 | 34 | |
| 7 | 2000 | 34 | |
| 8 | Comparison of methods of attenuation and scatter correction in brain perfusion SPECT. | 2005 | 34 |
| 9 | 2008 | 33 | |
| 10 | 2010 | 33 | |
| 11 | 2014 | 32 | |
| 12 | 2009 | 31 | |
| 13 | 2016 | 30 | |
| 14 | 2015 | 27 | |
| 15 | 2005 | 26 | |
| 16 | 2017 | 26 | |
| 17 | 2000 | 25 | |
| 18 | 2009 | 24 | |
| 19 | 2019 | 22 | |
| 20 | 2014 | 21 |
About Jun Deguchi
Jun Deguchi is a scholar working on Molecular Biology, Pharmacology, Neurology, Pulmonary and Respiratory Medicine and Plant Science, having authored 49 papers that have together received 884 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (8 papers), Phytochemistry and Bioactivity Studies (6 papers), Traditional and Medicinal Uses of Annonaceae (5 papers), Vascular Malformations Diagnosis and Treatment (5 papers), Phytochemistry and biological activity of medicinal plants (5 papers), Alkaloids: synthesis and pharmacology (5 papers), Nanoplatforms for cancer theranostics (3 papers) and Natural product bioactivities and synthesis (3 papers). The work is most often cited by research in Pharmacology (104 citations), Toxicology (31 citations), Biochemistry (65 citations), Reproductive Medicine (66 citations) and Pharmacology (107 citations). Jun Deguchi has collaborated with scholars based in Japan, Indonesia and Malaysia. Frequent co-authors include Hiroshi Morita, Yusuke Hirasawa, Hiroya Matsuo, Takeshi Maruo, Masahiro Ono, Hideo Saji, Kohei Sano, Toshio Kaneda, Takahiro Hosoya and Wiwied Ekasari. Their work appears in journals such as Journal of Natural Medicines, Bioorganic & Medicinal Chemistry Letters, Journal of Natural Products, Neurologia medico-chirurgica and Tetrahedron Letters.
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.