K. Tutikawa

17 papers receiving 521 citations

Peers

K. Tutikawa
Comparison fields: 5 of 93
  • Cancer Research 201
  • Health, Toxicology and Mutagenesis 154
  • Chemical Health and Safety 7
  • Pollution 49
  • Analytical Chemistry 38
Replace Tsutomu Yamaha with:
Tsutomu Yamaha Japan
S. Paglialunga Italy
J. Daniel Heck United States
C. J. Terhaar United States
Cristina Lemini Mexico
Nobuyuki Susa Japan
Eyyüp Rencüzoğulları Türkiye
Jan E. Storm United States
Hossein Hajimiragha Germany
Emma Di Consiglio Italy
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Citations per field
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Citations per year

Countries citing papers authored by K. Tutikawa

Since Specialization
Citations

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

Fields of papers citing papers by K. Tutikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1972235
2 195980
3 199063
4 198248
5 198639
6 199030
7 198623
8 198318
9 198216
10
Teratogenicity and mutagenicity of a phthalate ester. Abstr.
197613
11 198610
12
[A case of mixed connective tissue disease (MCTD) complicating pulmonary hypertension and portal hypertension].
19887
13 19786
14 19874
15
STUDIES ON THE METABOLISN OF DI-(2-ETHYLHIEXYL) PHTHALATE IN PREGNANT AND NON-PREGNANT MECE (The 5th Meeting for the Study of Toxic Effect)
19782
16
Studies on mutation rate by chronic irradiation of mice.
19601
17 19751
18
RELATIVE BIOLOGICAL EFFECTIVENESS OF 14.1-MeV NEUTRONS IN THE INDUCTION OF DOMINANT LETHAL MUTATIONS IN THE MOUSE.
19670

About K. Tutikawa

K. Tutikawa is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Molecular Biology, Organic Chemistry and Pharmacology, having authored 18 papers that have together received 596 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (7 papers), Effects and risks of endocrine disrupting chemicals (5 papers), DNA Repair Mechanisms (2 papers), Pharmacological Effects of Medicinal Plants (1 paper), Insect and Pesticide Research (1 paper), Mast cells and histamine (1 paper), Nuclear Physics and Applications (1 paper) and Malaria Research and Control (1 paper). The work is most often cited by research in Cancer Research (201 citations), Health, Toxicology and Mutagenesis (154 citations), Chemical Health and Safety (7 citations), Pollution (49 citations) and Analytical Chemistry (38 citations). K. Tutikawa has collaborated with scholars based in Japan and Armenia. Frequent co-authors include Tsuneo Kada, Yoshito Sadaie, Yukako Yagi, Ikuyoshi Tomita, Y. Nakamura, M. Watanabe, Hisako Imanishi, Kiyoshi Imaizumi, YūF. Sasaki and T. Takizawa. Their work appears in journals such as Environmental Health Perspectives, Journal of Heredity, EXPERIMENTAL ANIMALS, Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis and Mutation Research/Environmental Mutagenesis and Related Subjects.

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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