Katsuki Ito

114 papers receiving 3.3k citations

Peers

Katsuki Ito
Comparison fields: 5 of 130
  • Oncology 781
  • Gastroenterology 150
  • Cancer Research 348
  • Pulmonary and Respiratory Medicine 595
  • Immunology and Allergy 111
Replace Xiaozhong Guo with:
Xiaozhong Guo China
Kazushige Kawai Japan
Frank Gansauge Germany
László Herszényi Hungary
Masaki Kitajima Japan
Benjamin C.Y. Wong Hong Kong
Yoshihisa Umekita Japan
Pankaj Shah India
Cheng‐Ping Yu Taiwan
Carlos Gil Ferreira Brazil
Katsuki Ito relative to Xiaozhong Guo China Xiaozhong Guo's profile →
Citations per field
00.5×1.5×2.1×
Xiaozhong Guo · 1×
Citations per year

Countries citing papers authored by Katsuki Ito

Since Specialization
Citations

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

Fields of papers citing papers by Katsuki Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Molecular detection of p16 promoter methylation in the serum of patients with esophageal squamous cell carcinoma.
2001141
2 2007138
3
PGP9.5 as a marker for invasive colorectal cancer.
2002126
4 1999103
5
Mucosal interleukin-8 is involved in neutrophil migration and binding to extracellular matrix in inflammatory bowel disease.
1997100
6 201398
7 200391
8 200286
9 199585
10 200381
11 200278
12 200477
13 200176
14 200175
15
Obesity and outcome of distal gastrectomy with D2 lymphadenectomy for carcinoma.
200472
16 200167
17 200166
18 199664
19 198164
20 200363

About Katsuki Ito

Katsuki Ito is a scholar working on Oncology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Cancer Research, having authored 116 papers that have together received 3.4k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (12 papers), Colorectal Cancer Treatments and Studies (9 papers), Epigenetics and DNA Methylation (6 papers), Esophageal Cancer Research and Treatment (6 papers), Genetic factors in colorectal cancer (6 papers), Esophageal and GI Pathology (5 papers), Cancer Genomics and Diagnostics (4 papers) and Chemotherapy-induced cardiotoxicity and mitigation (4 papers). The work is most often cited by research in Oncology (781 citations), Gastroenterology (150 citations), Cancer Research (348 citations), Pulmonary and Respiratory Medicine (595 citations) and Immunology and Allergy (111 citations). Katsuki Ito has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Seiji Akiyama, Akimasa Nakao, Kenji Hibi, Yasushi Kasai, Yasuhiro Kodera, Hiroshi Nakayama, Michitaka Fujiwara, Tsunenobu Takase, Hiroshi Takagi and Ken Kondo. Their work appears in journals such as Surgery Today, Journal of Surgical Oncology, International Journal of Cancer, Diseases of the Colon & Rectum and Journal of Gastroenterology.

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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