Seiko Masuda

1.8k citations
25 papers · 1.5k · h-index 22

Impact in

    • Lipid metabolism and biosynthesis
    • Eicosanoids and Hypertension Pharmacology
    • Inflammatory mediators and NSAID effects

Papers in

    • Protein Kinase Regulation and GTPase Signaling 12
    • Inflammatory mediators and NSAID effects 4
    • Healthcare and Venom Research 2

Seiko Masuda

25 papers receiving 1.5k citations

Peers

Seiko Masuda
Comparison fields: 5 of 92
  • Biochemistry 169
  • Pharmacology 291
  • Reproductive Medicine 98
  • Molecular Biology 682
  • Cell Biology 155
Replace Eileen O’Leary with:
Eileen O’Leary United States
Jeff L. Ellsworth United States
Mats Gåfvels Sweden
Hueng-Sik Choi South Korea
Michelle V. Winstead United States
H. Arita Japan
Ernst Steyrer Austria
Helén L. Dichek United States
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Claude Aussel France
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Citations per field
00.5×3.4×
Eileen O’Leary · 1×
Citations per year

Countries citing papers authored by Seiko Masuda

Since Specialization
Citations

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

Fields of papers citing papers by Seiko Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003299
2 2008102
3 201095
4 200678
5 200572
6 200371
7 200563
8 200363
9 201059
10 200558
11 200558
12 200557
13 200757
14 200554
15 200751
16 200946
17 201145
18 200541
19 200440
20 201129

About Seiko Masuda

Seiko Masuda is a scholar working on Molecular Biology, Pharmacology, Cell Biology, Genetics and Public Health, Environmental and Occupational Health, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (12 papers), Inflammatory mediators and NSAID effects (4 papers), Cellular transport and secretion (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Sperm and Testicular Function (2 papers), Healthcare and Venom Research (2 papers), NF-κB Signaling Pathways (2 papers) and Calpain Protease Function and Regulation (2 papers). The work is most often cited by research in Biochemistry (169 citations), Pharmacology (291 citations), Reproductive Medicine (98 citations), Molecular Biology (682 citations) and Cell Biology (155 citations). Seiko Masuda has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Makoto Murakami, Ichiro Kudo, Yukio Ishikawa, Toshiharu Ishii, Daisuke Kamei, Yoshihiro Ohmiya, Kikuko Watanabe, Yoshitaka Taketomi, Kei Yamamoto and Hiroyasu Sato. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Journal of Clinical Investigation and FEBS Journal.

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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