Jun Deguchi

1.2k citations
49 papers · 931 · h-index 20

Impact in

    • Alkaloids: synthesis and pharmacology
    • Biological Stains and Phytochemicals
  • Biochemistry top 10%
    • Traditional and Medicinal Uses of Annonaceae

Papers in

Jun Deguchi

48 papers receiving 909 citations

Peers

Jun Deguchi
Comparison fields: 5 of 95
  • Pharmacology 106
  • Biochemistry 67
  • Toxicology 29
  • Reproductive Medicine 67
  • Pharmacology 110
Replace Alessio Papi with:
Alessio Papi Italy
Kee-Oh Chay South Korea
Yuan Gu China
Ji‐Hye Ahn South Korea
Young Hun Kim South Korea
Jikai Jiang China
Asma Kheirollahi Iran
Rehab Kamel Egypt
Guang Xin China
Jun Deguchi relative to Alessio Papi Italy Alessio Papi's profile →
Citations per field
00.5×4.8×
Alessio Papi · 1×
Citations per year

Countries citing papers authored by Jun Deguchi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Deguchi Line = papers co-authored together Jun Deguchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199358
2 199849
3 200946
4 201243
5 201043
6
Comparison of methods of attenuation and scatter correction in brain perfusion SPECT.
200539
7 200037
8 200935
9 200835
10 201034
11 201432
12 201632
13 200931
14 200528
15 201528
16 201727
17 200927
18 200025
19 201922
20 201421

About Jun Deguchi

Jun Deguchi is a scholar working on Molecular Biology, Pharmacology, Neurology, Plant Science and Pulmonary and Respiratory Medicine, having authored 49 papers that have together received 931 indexed citations. Recurring topics across this work include Phytochemistry and Bioactivity Studies (6 papers), Intracranial Aneurysms: Treatment and Complications (6 papers), Phytochemistry and biological activity of medicinal plants (5 papers), Traditional and Medicinal Uses of Annonaceae (5 papers), Vascular Malformations Diagnosis and Treatment (5 papers), Alkaloids: synthesis and pharmacology (5 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Bioactive Compounds and Antitumor Agents (3 papers). The work is most often cited by research in Pharmacology (106 citations), Biochemistry (67 citations), Toxicology (29 citations), Reproductive Medicine (67 citations) and Pharmacology (110 citations). Jun Deguchi has collaborated with scholars based in Japan, Indonesia and Malaysia. Frequent co-authors include Hiroshi Morita, Yusuke Hirasawa, Takeshi Maruo, Hiroya Matsuo, Toshio Kaneda, Takahiro Hosoya, Kohei Sano, Masahiro Ono, Wiwied Ekasari and Hideo Saji. Their work appears in journals such as Journal of Natural Medicines, Bioorganic & Medicinal Chemistry Letters, Journal of Natural Products, Tetrahedron Letters and Neurologia medico-chirurgica.

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.

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