Tomoko Kuno

615 citations
17 papers · 490 · h-index 10

Impact in

Papers in

Tomoko Kuno

16 papers receiving 481 citations

Peers

Tomoko Kuno
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 270
  • Biochemistry 40
  • Biological Psychiatry 13
  • Molecular Biology 309
  • Biochemistry 28
Replace Juan Fernando Padín with:
Juan Fernando Padín Spain
M. Bergman United States
Sudha M. Cowsik India
Anna Lorenzen Germany
Barbara Brown United States
Jean‐Grégoire Marin France
Daniel Wright Italy
M. Pérez Spain
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Citations per field
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Citations per year

Countries citing papers authored by Tomoko Kuno

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Kuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2002141
2 1999129
3 199936
4
Identification of the p33(ING1)-regulated genes that include cyclin B1 and proto-oncogene DEK by using cDNA microarray in a mouse mammary epithelial cell line NMuMG.
200234
5 200421
6 201121
7 199820
8
Polymorphism of genes encoding toll-like receptors and inflammatory cytokines in periodontal disease in the Japanese population.
200818
9 200316
10 199915
11 20028
12 20058
13 19987
14 20006
15 20065
16
Fat-soluble vitamins in cord blood and colostrum in the south of China.
19965
17 20040

About Tomoko Kuno

Tomoko Kuno is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biochemistry, Surgery and Urology, having authored 17 papers that have together received 490 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Ion channel regulation and function (4 papers), Retinoids in leukemia and cellular processes (3 papers), Antioxidant Activity and Oxidative Stress (3 papers), Vitamin C and Antioxidants Research (1 paper), Dental Implant Techniques and Outcomes (1 paper), Molecular Sensors and Ion Detection (1 paper) and Urological Disorders and Treatments (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (270 citations), Biochemistry (40 citations), Biological Psychiatry (13 citations), Molecular Biology (309 citations) and Biochemistry (28 citations). Tomoko Kuno has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Keiko Kashiwagi, Takashi Masuko, Keith Williams, Kazuei Igarashi, Christopher D. Nguyen, Albert J. Pahk, Junichi Fukuchi, Hiroshi Tamai, Tadashi Kusama and Kimitaka Takitani. Their work appears in journals such as Molecular Pharmacology, BioFactors, Nutrition and Cancer, Free Radical Research and Cancer Chemotherapy and Pharmacology.

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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