Masako Ohno

1.0k citations
22 papers · 797 · h-index 13

Impact in

  • Pharmacology top 0.5%
    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
    • Tuberculosis Research and Epidemiology

Papers in

    • Cancer therapeutics and mechanisms 2
    • Enzyme Catalysis and Immobilization 2
    • Metabolomics and Mass Spectrometry Studies 2
    • Pharmacogenetics and Drug Metabolism 10

Masako Ohno

22 papers receiving 771 citations

Peers

Masako Ohno
Comparison fields: 5 of 85
  • Pharmacology 491
  • Infectious Diseases 204
  • Oncology 191
  • Pharmacology 101
  • Endocrinology, Diabetes and Metabolism 85
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Masako Ohno relative to Anima Ghosal United States Anima Ghosal's profile →
Citations per field
00.5×1.7×
Anima Ghosal · 1×
Citations per year

Countries citing papers authored by Masako Ohno

Since Specialization
Citations

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

Fields of papers citing papers by Masako Ohno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Slow N-acetyltransferase 2 genotype affects the incidence of isoniazid and rifampicin-induced hepatotoxicity.
2000188
2 2012184
3 199977
4 200063
5 200948
6 200341
7 200733
8 200032
9 201431
10 199918
11 200316
12 200214
13 198614
14 20197
15 20026
16 20036
17 20025
18 19794
19 20043
20 20033

About Masako Ohno

Masako Ohno is a scholar working on Molecular Biology, Pharmacology, Spectroscopy, Infectious Diseases and Pediatrics, Perinatology and Child Health, having authored 22 papers that have together received 797 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Analytical Chemistry and Chromatography (6 papers), Tuberculosis Research and Epidemiology (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Cancer therapeutics and mechanisms (2 papers), Hormonal and reproductive studies (2 papers), Enzyme Catalysis and Immobilization (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Pharmacology (491 citations), Infectious Diseases (204 citations), Oncology (191 citations), Pharmacology (101 citations) and Endocrinology, Diabetes and Metabolism (85 citations). Masako Ohno has collaborated with scholars based in Japan, Australia and Somalia. Frequent co-authors include Junichi Azuma, Soichiro Yokota, Isamu Yamamoto, Yasushi Fujio, Ryuji Kubota, Tsuyoshi Fukuda, Ichiro Kawase, Tetsuya Takashima, Kazunari Tsuyuguchi and Kayoko Saiki. Their work appears in journals such as European Journal of Clinical Pharmacology, Pharmacogenomics, Chemical and Pharmaceutical Bulletin, The Journal of Clinical Pharmacology and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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