Akihiro Daikonya

566 citations
16 papers · 457 indexed · h-index 11
Topics
Phytochemistry and Biological Activities (7 papers)Bioactive natural compounds (3 papers)Plant-derived Lignans Synthesis and Bioactivity (3 papers)
Partner nations
JapanChinaUnited States

In The Last Decade

Akihiro Daikonya

16 papers receiving 438 citations

Peers

Akihiro Daikonya
Comparison fields: 5 of 64
  • Molecular Biology 271
  • Plant Science 194
  • Pharmacology 116
  • Pharmacology 67
  • Organic Chemistry 67
Replace Therese Ringbom with:
Therese Ringbom Sweden
Ibrahim Iliya Japan
Tereza Šlapetová Czechia
Troy Smillie United States
Xing-Cong Li United States
Joseph Ngoupayo Cameroon
Aun Chea France
Hsiu-Hui Chan Taiwan
Young Sook Yun Japan
Yasunobu Asao Japan
Akihiro Daikonya relative to Therese Ringbom Sweden Therese Ringbom's profile →
Citations per field
00.5×3.3×
Therese Ringbom · 1×
Citations per year

Countries citing papers authored by Akihiro Daikonya

Since Specialization
Citations

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

Fields of papers citing papers by Akihiro Daikonya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiro Daikonya

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Daikonya. A scholar is included among the top collaborators of Akihiro Daikonya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akihiro Daikonya. Akihiro Daikonya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 20
2
Inhibitory Effect of Ginger (Zingiber officinale Roscoe) from the Japanese Market on Nitric Oxide Production, and Metabolome Analysis Based on LC/MS
1
3 16
4 18
5 39
6 5
7 3
8 10
9 49
10 76
11 42
12 7
13 38
14 52
15 39
16 42

About Akihiro Daikonya

Akihiro Daikonya is a scholar working on Pharmacology, Pharmacology and Biochemistry, having authored 16 papers that have together received 457 indexed citations. Recurring topics across this work include Phytochemistry and Biological Activities (7 papers), Bioactive natural compounds (3 papers) and Plant-derived Lignans Synthesis and Bioactivity (3 papers). The work is most often cited by research in Biochemistry (61 citations), Pharmacology (67 citations) and Pharmacology (116 citations). Akihiro Daikonya has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Susumu Kitanaka, Jue Wang, Heran Li, Zhigang Yang, Jin‐Bin Wu, Tenji Konishi, Takao Konoshima, Liyan Wang, Yonghai Li and Naili Wang. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Journal of Natural Products and Phytomedicine.

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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