Junsei Taira

1.5k citations
51 papers · 1.3k · h-index 20

Impact in

    • Marine Sponges and Natural Products
    • Microbial Metabolism and Applications
    • Phytochemicals and Antioxidant Activities

Papers in

Junsei Taira

48 papers receiving 1.2k citations

Peers

Junsei Taira
Comparison fields: 5 of 107
  • Biotechnology 314
  • Biochemistry 173
  • Biophysics 123
  • Pharmacology 126
  • Toxicology 48
Replace Daniel Rettori with:
Daniel Rettori Brazil
Motoyoshi Satake Japan
Ah‐Reum Han South Korea
Hwa‐Young Kim South Korea
Hyukjae Choi South Korea
Sergey A. Fedoreyev Russia
Donatella Fedeli Italy
Kumar Sapkota South Korea
Raj Kumar India
Marina Dachà Italy
Junsei Taira relative to Daniel Rettori Brazil Daniel Rettori's profile →
Citations per field
00.5×1.5×2.4×
Daniel Rettori · 1×
Citations per year

Countries citing papers authored by Junsei Taira

Since Specialization
Citations

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

Fields of papers citing papers by Junsei Taira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996158
2 2000112
3 200999
4 201487
5 200269
6 199260
7 199459
8 199255
9 201242
10 199341
11 201831
12 199731
13 201330
14 199729
15 200326
16 201923
17 200922
18 200821
19 201620
20 201220

About Junsei Taira

Junsei Taira is a scholar working on Biotechnology, Biochemistry, Organic Chemistry, Molecular Biology and Pharmacology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Marine Sponges and Natural Products (13 papers), Phytochemicals and Antioxidant Activities (11 papers), Genomics, phytochemicals, and oxidative stress (7 papers), Free Radicals and Antioxidants (7 papers), Microbial Natural Products and Biosynthesis (7 papers), Nitric Oxide and Endothelin Effects (4 papers), Marine Biology and Ecology Research (4 papers) and Electron Spin Resonance Studies (4 papers). The work is most often cited by research in Biotechnology (314 citations), Biochemistry (173 citations), Biophysics (123 citations), Pharmacology (126 citations) and Toxicology (48 citations). Junsei Taira has collaborated with scholars based in Japan, United States and Hungary. Frequent co-authors include Katsuhiro Ueda, Yoko Aniya, Chika Miyagi, Angelo Russo, James B. Mitchell, Murali C. Krishna, Shinobu C. Fujita, Amram Samuni, Sara Goldstein and Akifumi Hagi. Their work appears in journals such as Marine Drugs, Antioxidants, Molecules, Bioorganic & Medicinal Chemistry Letters and Free Radical Biology and Medicine.

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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