S. Hatooka

455 citations
11 papers · 395 · h-index 7

Impact in

  • Toxicology top 10%
    • Epigenetics and DNA Methylation
    • Genomics, phytochemicals, and oxidative stress
    • Cancer-related gene regulation
    • RNA modifications and cancer

Papers in

    • Esophageal Cancer Research and Treatment 5
    • Esophageal and GI Pathology 3
    • Helicobacter pylori-related gastroenterology studies 1
    • Gastric Cancer Management and Outcomes 2
    • Lung Cancer Diagnosis and Treatment 1

S. Hatooka

10 papers receiving 384 citations

Peers

S. Hatooka
Comparison fields: 5 of 53
  • Toxicology 23
  • Molecular Biology 233
  • Gastroenterology 18
  • Genetics 86
  • Oncology 82
Replace Douglas W. Green with:
Douglas W. Green United States
Adrie Gunther Netherlands
G. Hommel Germany
Salah T. Fayed Egypt
Laura Biernat United States
Milana Šachlová Czechia
Deborah Witte United States
Ryan O'Neal United States
Agnieszka Chrobak Poland
S. Hatooka relative to Douglas W. Green United States Douglas W. Green's profile →
Citations per field
00.5×6.6×
Douglas W. Green · 1×
Citations per year

Countries citing papers authored by S. Hatooka

Since Specialization
Citations

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

Fields of papers citing papers by S. Hatooka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Methylation of the 5' CpG island of the FHIT gene is closely associated with transcriptional inactivation in esophageal squamous cell carcinomas.
1998129
2 2002102
3 200058
4 199846
5 200223
6 200316
7 201010
8 20006
9 20003
10 20071
11
20031

About S. Hatooka

S. Hatooka is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Biology, Oncology and Epidemiology, having authored 11 papers that have together received 395 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (5 papers), Esophageal and GI Pathology (3 papers), Gastric Cancer Management and Outcomes (2 papers), Cancer-related Molecular Pathways (2 papers), Helicobacter pylori-related gastroenterology studies (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Genetic factors in colorectal cancer (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Toxicology (23 citations), Molecular Biology (233 citations), Gastroenterology (18 citations), Genetics (86 citations) and Oncology (82 citations). S. Hatooka has collaborated with scholars based in Japan and India. Frequent co-authors include Masayuki Shinoda, Hisashi Tanaka, Yutaka Shimada, Hideki Harada, Masayuki Imamura, Kanji Ishizaki, Nobuyuki Hamajima, Motokazu Suyama, Tetsuya Mitsudomi and Keitaro Matsuo. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Endoscopy, British Journal of Radiology, Oncology Reports and Diseases of the Esophagus.

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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