Jun Terauchi

753 citations
18 papers · 621 · h-index 10

Impact in

Papers in

    • Signaling Pathways in Disease 3
    • Receptor Mechanisms and Signaling 3
    • Chemical synthesis and alkaloids 4
    • Asymmetric Synthesis and Catalysis 3

Jun Terauchi

18 papers receiving 593 citations

Peers

Jun Terauchi
Comparison fields: 5 of 74
  • Endocrine and Autonomic Systems 128
  • Nutrition and Dietetics 110
  • Organic Chemistry 199
  • Cancer Research 93
  • Pharmacology 90
Replace Ralph Mosley with:
Ralph Mosley United States
Ramakrishna Seethala United States
Philip A. Carpino United States
Peter Lockey United Kingdom
Bharat Shimpukade Denmark
Jinsai Shang United States
Derya Özsavcı Türkiye
Hazel J. Dyke United Kingdom
Blair Weig United States
Steven M. Sparks United States
Jun Terauchi relative to Ralph Mosley United States Ralph Mosley's profile →
Citations per field
00.5×1.5×2.3×
Ralph Mosley · 1×
Citations per year

Countries citing papers authored by Jun Terauchi

Since Specialization
Citations

This map shows the geographic impact of Jun Terauchi'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 Terauchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Terauchi more than expected).

Fields of papers citing papers by Jun Terauchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Terauchi. 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 Terauchi. The network helps show where Jun Terauchi may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun Terauchi, 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 Terauchi Line = papers co-authored together Jun Terauchi links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2002161
2 2010106
3 2003105
4 201449
5 201642
6 201437
7 201627
8 199325
9 201017
10 199210
11 20119
12 20139
13 20147
14 19897
15 20156
16 20152
17
Electroorganic Chemistry. 122. A new facile method for construction of .BETA.-arylpyrrolidine rings and its application to synthesis of (.+-.)-mesembrine.
19891
18 20251

About Jun Terauchi

Jun Terauchi is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Cancer Research and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 621 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Protease and Inhibitor Mechanisms (4 papers), Chemical synthesis and alkaloids (4 papers), Asymmetric Synthesis and Catalysis (3 papers), Signaling Pathways in Disease (3 papers), Alzheimer's disease research and treatments (3 papers), Receptor Mechanisms and Signaling (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (128 citations), Nutrition and Dietetics (110 citations), Organic Chemistry (199 citations), Cancer Research (93 citations) and Pharmacology (90 citations). Jun Terauchi has collaborated with scholars based in Japan and United States. Frequent co-authors include Dennis P. Curran, Kaneyoshi Kato, Shiro Takekawa, Naoyuki Kanzaki, Koki Kato, Nobuhiro Suzuki, Yuji Ishihara, Osamu Nishimura, Haruhiko Kuno and Hiroshi Nara. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Tetrahedron, Tetrahedron Asymmetry, Journal of Medicinal Chemistry and Chemistry 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.

Explore authors with similar magnitude of impact