Tetsuo Ito

2.5k citations
40 papers · 1.8k indexed · h-index 25

Tetsuo Ito

40 papers receiving 1.8k citations

Peers

Tetsuo Ito
Comparison fields: 5 of 100
  • Cancer Research 460
  • Cell Biology 298
  • Oncology 485
  • Molecular Biology 1.2k
  • Surgery 383
Replace Naoki Maehara with:
Naoki Maehara Japan
J. M. Bruner United States
David Cappellen France
Peter Würl Germany
Kenji Okami Japan
Božo Krušlin Croatia
Gianluigi Zona Italy
Shogo Ehata Japan
Shyh‐Kuan Tai Taiwan
Martin Erdel Austria
Tetsuo Ito relative to Naoki Maehara Japan Naoki Maehara's profile →
Citations per field
00.5×1.5×
Naoki Maehara · 1×
Citations per year

Countries citing papers authored by Tetsuo Ito

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201036
2 200941
3 2009223
4 200844
5 200850
6 200749
7 200767
8 20075
9 200741
10 20079
11 200745
12
Rarity of Somatic Mutation and Frequency of Normal Sequence Variation Detected in Sporadic Colon Adenocarcinoma Using High-Throughput cDNA Sequencing.
20072
13 200639
14 200656
15 2006153
16 200665
17 200669
18 200564
19 200449
20
Relationship between cell killing and mutation induction by ionizing radiation in human lymphoblastoid cells
19941

About Tetsuo Ito

Tetsuo Ito is a scholar working on Cell Biology, Cancer Research, Oncology, Biotechnology and Immunology and Allergy, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer-related gene regulation (8 papers), Esophageal Cancer Research and Treatment (7 papers), Epigenetics and DNA Methylation (7 papers), Cancer-related Molecular Pathways (5 papers), Microtubule and mitosis dynamics (4 papers), Cancer Genomics and Diagnostics (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Cancer Research (460 citations), Cell Biology (298 citations), Oncology (485 citations), Molecular Biology (1.2k citations) and Surgery (383 citations). Tetsuo Ito has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Yutaka Shimada, Takatsugu Kan, Eiji Tanaka, Fumiaki Sato, Stephen J. Meltzer, Masayuki Imamura, Zhe Jin, Go Watanabe, Yosuke Hashimoto and James P. Hamilton. Their work appears in journals such as Clinical Cancer Research, International Journal of Cancer, Oncology, Annals of Surgical Oncology and Clinical Orthopaedics and Related Research.

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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