Kazuto Ito

4.2k citations
160 papers · 3.0k · h-index 32

Impact in

Papers in

Kazuto Ito

156 papers receiving 2.9k citations

Peers

Kazuto Ito
Comparison fields: 5 of 118
  • Pulmonary and Respiratory Medicine 1.5k
  • Urology 154
  • Endocrinology, Diabetes and Metabolism 278
  • Cancer Research 222
  • Oncology 305
Replace Mark Garzotto with:
Mark Garzotto United States
Ke‐Hung Tsui Taiwan
Fritz H. Schroeder Netherlands
Tsuyoshi Iwata Japan
Jasmin Bektić Austria
Hidefumi Kinoshita Japan
Gaetano Facchini Italy
Toru Shimazui Japan
Akira Yokomizo Japan
Paul Maroni United States
Kazuto Ito relative to Mark Garzotto United States Mark Garzotto's profile →
Citations per field
00.5×1.5×
Mark Garzotto · 1×
Citations per year

Countries citing papers authored by Kazuto Ito

Since Specialization
Citations

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

Fields of papers citing papers by Kazuto Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014205
2 2002153
3 2009102
4 2000100
5 200485
6 200384
7 200371
8 201264
9 200464
10
Association of genetic polymorphisms of glutathione-S-transferase genes (GSTM1, GSTT1 and GSTP1) with familial prostate cancer risk in a Japanese population.
200358
11 200157
12 200354
13 201352
14 200952
15 201946
16 201241
17 200539
18 200038
19 199137
20 200237

About Kazuto Ito

Kazuto Ito is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Oncology and Surgery, having authored 160 papers that have together received 3.0k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (84 papers), Prostate Cancer Treatment and Research (39 papers), Hormonal and reproductive studies (20 papers), Urinary Bladder and Prostate Research (10 papers), Cancer, Lipids, and Metabolism (8 papers), Bladder and Urothelial Cancer Treatments (7 papers), Estrogen and related hormone effects (6 papers) and Colorectal Cancer Screening and Detection (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.5k citations), Urology (154 citations), Endocrinology, Diabetes and Metabolism (278 citations), Cancer Research (222 citations) and Oncology (305 citations). Kazuto Ito has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Kazuhiro Suzuki, Hidetoshi Yamanaka, Hiroshi Matsui, Kohei Kurokawa, Hidekazu Koike, Takumi Yamamoto, Yoshitatsu Fukabori, Yasuhiro Shibata, Masaru Hasumi and Yoshitaka Sekine. Their work appears in journals such as The Journal of Urology, International Journal of Urology, The Prostate, Urology and International Journal of Radiation Oncology*Biology*Physics.

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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