Riyo Imamura

599 citations
10 papers · 138 · h-index 7

Impact in

Papers in

    • Genomics, phytochemicals, and oxidative stress 5
    • Glutathione Transferases and Polymorphisms 4
    • Nitrogen and Sulfur Effects on Brassica 2
    • Advanced biosensing and bioanalysis techniques 1
    • SARS-CoV-2 and COVID-19 Research 1

Riyo Imamura

9 papers receiving 135 citations

Peers

Riyo Imamura
Comparison fields: 5 of 45
  • Toxicology 6
  • Organic Chemistry 43
  • Molecular Biology 98
  • Computational Theory and Mathematics 12
  • Pharmacology 10
Replace Navidha Aggarwal with:
Navidha Aggarwal India
Daisuke Yasuda Japan
Annika Jenmalm Jensen Sweden
Shiming Peng China
Elsie Diaz United States
Champa Patel United Kingdom
Kate S. Ashton United States
Jen-Shin Song Taiwan
Asma A. Ahmed United States
Yonghyo Kim South Korea
Riyo Imamura relative to Navidha Aggarwal India Navidha Aggarwal's profile →
Citations per field
00.5×11×
Navidha Aggarwal · 1×
Citations per year

Countries citing papers authored by Riyo Imamura

Since Specialization
Citations

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

Fields of papers citing papers by Riyo Imamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201638
2 202028
3 201726
4 201817
5 20168
6 20218
7 20227
8 20175
9 20221
10 20250

About Riyo Imamura

Riyo Imamura is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Organic Chemistry and Genetics, having authored 10 papers that have together received 138 indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (5 papers), Glutathione Transferases and Polymorphisms (4 papers), Computational Drug Discovery Methods (2 papers), Nitrogen and Sulfur Effects on Brassica (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Fungal Plant Pathogen Control (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Toxicology (6 citations), Organic Chemistry (43 citations), Molecular Biology (98 citations), Computational Theory and Mathematics (12 citations) and Pharmacology (10 citations). Riyo Imamura has collaborated with scholars based in Japan, Switzerland and Indonesia. Frequent co-authors include Takayoshi Okabe, Tetsuo Nagano, Hirotatsu Kojima, Tomoyuki Ohe, Kyôko Takahashi, Daisuke Yasuda, Masayuki Yamamoto, Masaaki Komatsu, Yoshinobu Ichimura and Tadahiko Mashino. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, SLAS DISCOVERY, Antimicrobial Agents and Chemotherapy, Chemical and Pharmaceutical Bulletin and Free Radical Research.

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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