Shuko Hata

1.1k citations
42 papers · 929 · h-index 18

Impact in

    • Oral microbiology and periodontitis research
    • Dental Health and Care Utilization
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Shuko Hata

42 papers receiving 914 citations

Peers

Shuko Hata
Comparison fields: 5 of 105
  • Periodontics 104
  • Cancer Research 228
  • Oncology 245
  • Genetics 158
  • Molecular Biology 367
Replace H. Herschel Conaway with:
H. Herschel Conaway United States
Sheng Wen China
Neil Alles Japan
Zheni Stavre United States
William L. Ries United States
Feifei Sun China
I–Shou Chang Taiwan
Yun Zhu China
E. Petitfrere France
Heung‐Joong Kim South Korea
Shuko Hata relative to H. Herschel Conaway United States H. Herschel Conaway's profile →
Citations per field
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H. Herschel Conaway · 1×
Citations per year

Countries citing papers authored by Shuko Hata

Since Specialization
Citations

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

Fields of papers citing papers by Shuko Hata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shuko Hata, 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 Shuko Hata Line = papers co-authored together Shuko Hata 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 2012140
2 201969
3 201268
4 201159
5 201051
6 201244
7 199035
8 201334
9 200333
10 200627
11 201526
12 200925
13 201825
14 201523
15 199522
16
Identification of androgen-responsive microRNAs and androgen-related genes in breast cancer.
201321
17 201720
18 201318
19 201017
20 200917

About Shuko Hata

Shuko Hata is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Periodontics, having authored 42 papers that have together received 929 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (9 papers), Cancer Cells and Metastasis (6 papers), Oral microbiology and periodontitis research (6 papers), Effects and risks of endocrine disrupting chemicals (4 papers), HER2/EGFR in Cancer Research (3 papers), Toxic Organic Pollutants Impact (3 papers), Prostate Cancer Treatment and Research (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Periodontics (104 citations), Cancer Research (228 citations), Oncology (245 citations), Genetics (158 citations) and Molecular Biology (367 citations). Shuko Hata has collaborated with scholars based in Japan, Switzerland and Malaysia. Frequent co-authors include Hironobu Sasano, Yasuhiro Miki, Takashi Suzuki, Katsuhiko Ono, Hiroyuki Kumamoto, Hideaki Mayanagi, Takashi Suzuki, Ryoko Saito, Hisashi Hirakawa and Takanori Ishida. Their work appears in journals such as Human Pathology, The Journal of Steroid Biochemistry and Molecular Biology, International Journal of Molecular Sciences, Life Sciences and Breast Cancer Research and Treatment.

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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