Mariko Tada

1.1k citations
42 papers · 870 · h-index 18

Impact in

    • Carcinogens and Genotoxicity Assessment
    • DNA Repair Mechanisms
    • DNA and Nucleic Acid Chemistry
    • Genomics, phytochemicals, and oxidative stress
    • Glutathione Transferases and Polymorphisms

Papers in

    • DNA and Nucleic Acid Chemistry 12
    • DNA Repair Mechanisms 7
    • RNA and protein synthesis mechanisms 4
    • Genomics, phytochemicals, and oxidative stress 4
    • Cancer therapeutics and mechanisms 3
    • Carcinogens and Genotoxicity Assessment 19

Mariko Tada

42 papers receiving 813 citations

Peers

Mariko Tada
Comparison fields: 5 of 87
  • Cancer Research 375
  • Molecular Biology 519
  • Toxicology 25
  • Health, Toxicology and Mutagenesis 92
  • Organic Chemistry 159
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Citations per field
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Citations per year

Countries citing papers authored by Mariko Tada

Since Specialization
Citations

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

Fields of papers citing papers by Mariko Tada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975123
2 196176
3 198672
4 197156
5 197641
6 199036
7 200134
8 198033
9 196732
10 198131
11 197224
12 199023
13 198723
14 199121
15
Sustainable Tourism Development Frameworks and Best Practices: Implications for the Cuban Tourism Industry
201620
16 200020
17 197520
18 199318
19 199817
20 199115

About Mariko Tada

Mariko Tada is a scholar working on Molecular Biology, Cancer Research, Organic Chemistry, Oncology and Pharmacology, having authored 42 papers that have together received 870 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (19 papers), DNA and Nucleic Acid Chemistry (12 papers), Synthesis and Biological Evaluation (7 papers), DNA Repair Mechanisms (7 papers), RNA and protein synthesis mechanisms (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Metal complexes synthesis and properties (4 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Cancer Research (375 citations), Molecular Biology (519 citations), Toxicology (25 citations), Health, Toxicology and Mutagenesis (92 citations) and Organic Chemistry (159 citations). Mariko Tada has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yutaka Kawazoe, Frédéric Lynen, Kohfuku Kohda, Nobuyuki Ito, Tomoyuki Shirai, Hiroshi Kasai, Susumu Nishimura, Misaki Kojima, Shoji Fukushima and Taijo Takahashi. Their work appears in journals such as Biochemical and Biophysical Research Communications, Carcinogenesis, Chemico-Biological Interactions, Environmental Health Perspectives and Cancer Letters.

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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