Masaoki Ito

1.4k citations
60 papers · 820 indexed · h-index 17

Impact in

Papers in

Masaoki Ito

57 papers receiving 811 citations

Peers

Masaoki Ito
Comparison fields: 5 of 64
  • Microbiology 22
  • Pulmonary and Respiratory Medicine 433
  • Oncology 300
  • Cancer Research 136
  • Molecular Biology 289
Replace Daisaku Morita with:
Daisaku Morita Japan
Masahiko Ikeda Japan
Ann‐Christin Buckendahl Germany
Masaya Nishino Japan
Woo Sun Kwon South Korea
Anne McLeer‐Florin France
Cor van der Leest Netherlands
Hidetoshi Kuruma Japan
Rama Krishna Kancha India
Yongfeng Yu China
Masaoki Ito relative to Daisaku Morita Japan Daisaku Morita's profile →
Citations per field
00.5×10×12.8×
Daisaku Morita · 1×
Citations per year

Countries citing papers authored by Masaoki Ito

Since Specialization
Citations

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

Fields of papers citing papers by Masaoki Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200796
2 201754
3 201740
4 201939
5 201739
6 201835
7 201935
8 201434
9 202032
10 202131
11 202327
12 201420
13 201820
14 201919
15 201617
16 202216
17 202216
18 201915
19 201215
20 201314

About Masaoki Ito

Masaoki Ito is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Cancer Research and Immunology, having authored 60 papers that have together received 820 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (31 papers), Lung Cancer Diagnosis and Treatment (20 papers), Lung Cancer Research Studies (10 papers), Circular RNAs in diseases (6 papers), Cancer Genomics and Diagnostics (6 papers), Cancer-related molecular mechanisms research (6 papers), Medical Imaging and Pathology Studies (5 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). The work is most often cited by research in Microbiology (22 citations), Pulmonary and Respiratory Medicine (433 citations), Oncology (300 citations), Cancer Research (136 citations) and Molecular Biology (289 citations). Masaoki Ito has collaborated with scholars based in Japan, Spain and Italy. Frequent co-authors include Yoshihiro Miyata, Morihito Okada, Yasuhiro Tsutani, Rafael Rosell, Niki Karachaliou, Keizo Misumi, Jordi Codony‐Servat, Jordi Berenguer, Jillian Wilhelmina Paulina Bracht and Morihito Okada. Their work appears in journals such as Journal of Thoracic Oncology, Lung Cancer, Clinical Lung Cancer, Journal of Cancer Research and Clinical Oncology and European Journal of Cardio-Thoracic Surgery.

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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