Satoshi Ito

8.1k citations
255 papers · 5.7k indexed · h-index 38

Satoshi Ito

249 papers receiving 5.5k citations

Peers

Satoshi Ito
Comparison fields: 5 of 142
  • Periodontics 539
  • Rheumatology 1.7k
  • Immunology 1.9k
  • Hematology 406
  • Genetics 336
Replace Roberto Gerli with:
Roberto Gerli Italy
Antony Rosen United States
L Aarden Netherlands
Blaž Rozman Slovenia
Wan‐Uk Kim South Korea
Vivianne Malmström Sweden
Tsuneyo Mimori Japan
Westley H. Reeves United States
Kiyoshi Migita Japan
Carolyn L. Geczy Australia
Satoshi Ito relative to Roberto Gerli Italy Roberto Gerli's profile →
Citations per field
00.5×1.7×
Roberto Gerli · 1×
Citations per year

Countries citing papers authored by Satoshi Ito

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20234
3 20235
4 20221
5 202029
6 20199
7 20187
8 201714
9 20179
10 201426
11 201412
12 201266
13 201029
14 200720
15 200615
16
Relationship between hormonal receptors, HER-2, p53 protein, Bcl-2, and MIB-1 status and the antitumor effects of neoadjuvant anthracycline-based chemotherapy in invasive breast cancer patients.
200518
17 200432
18 19992
19 199822
20 19947

About Satoshi Ito

Satoshi Ito is a scholar working on Rheumatology, Periodontics, Genetics, Hematology and Immunology, having authored 255 papers that have together received 5.7k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (69 papers), Systemic Lupus Erythematosus Research (50 papers), Monoclonal and Polyclonal Antibodies Research (28 papers), Chronic Lymphocytic Leukemia Research (20 papers), Vasculitis and related conditions (16 papers), T-cell and B-cell Immunology (16 papers), Autoimmune and Inflammatory Disorders Research (14 papers) and Immune Response and Inflammation (13 papers). The work is most often cited by research in Periodontics (539 citations), Rheumatology (1.7k citations), Immunology (1.9k citations), Hematology (406 citations) and Genetics (336 citations). Satoshi Ito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takayuki Sumida, Isao Matsumoto, Daisuke Goto, Akira Murasawa, Taichi Hayashi, Tetsuo Kobayashi, Hiromasa Yoshie, Akito Tsutsumi, Ichiei Narita and Asami Abe. Their work appears in journals such as Modern Rheumatology, Journal of Periodontology, Arthritis Research & Therapy, Clinical & Experimental Immunology and International Journal of Hematology.

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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