Kunio Wada

402 citations
13 papers · 218 · h-index 8

Impact in

Papers in

    • Carcinogens and Genotoxicity Assessment 9
    • DNA Repair Mechanisms 3
    • Genomics, phytochemicals, and oxidative stress 3
    • Peroxisome Proliferator-Activated Receptors 2
    • Metabolism, Diabetes, and Cancer 2

Kunio Wada

13 papers receiving 206 citations

Peers

Kunio Wada
Comparison fields: 5 of 53
  • Cancer Research 50
  • Biochemistry 25
  • Organic Chemistry 68
  • Health, Toxicology and Mutagenesis 27
  • Molecular Biology 111
Replace Michael A. Shultz with:
Michael A. Shultz United States
Brandon D. Jeffy United States
Christine E. Szarka United States
Dorothy Lin United States
Joachim G. Liehr United States
Miyuki Shimoji Japan
Tzu-Wen Shih United States
Elisa Turlizzi Italy
V E Steele United States
Ayako Ôhara Japan
Kunio Wada relative to Michael A. Shultz United States Michael A. Shultz's profile →
Citations per field
00.5×3.8×
Michael A. Shultz · 1×
Citations per year

Countries citing papers authored by Kunio Wada

Since Specialization
Citations

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

Fields of papers citing papers by Kunio Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200080
2 200851
3 201416
4 201513
5 201512
6 201611
7 199010
8 20129
9 20117
10 20093
11 20162
12 20172
13 20082

About Kunio Wada

Kunio Wada is a scholar working on Cancer Research, Molecular Biology, Health, Toxicology and Mutagenesis, Pathology and Forensic Medicine and Organic Chemistry, having authored 13 papers that have together received 218 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (9 papers), DNA Repair Mechanisms (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Toxic Organic Pollutants Impact (2 papers) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Cancer Research (50 citations), Biochemistry (25 citations), Organic Chemistry (68 citations), Health, Toxicology and Mutagenesis (27 citations) and Molecular Biology (111 citations). Kunio Wada has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Kyomu Matsumoto, Takashi Fujita, Toshihiko Fujiwara, Sachiko Sakakibara, Nobufusa Serizawa, Hiroyoshi Horikoshi, Jun Ohsumi, Tomoko Kaneko-Tarui, Shinichi Kurakata and Takeshi Isoyama. Their work appears in journals such as Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Genes and Environment, Journal of Medicinal Chemistry, European Journal of Cancer and DNA repair.

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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