Satoru Doi

2.9k citations
38 papers · 1.2k · h-index 18

Impact in

Papers in

    • Asthma and respiratory diseases 20
    • Immune Cell Function and Interaction 3
    • Immunodeficiency and Autoimmune Disorders 3

Satoru Doi

37 papers receiving 1.2k citations

Peers

Satoru Doi
Comparison fields: 5 of 91
  • Immunology and Allergy 149
  • Immunology 407
  • Dermatology 149
  • Physiology 371
  • Pharmacology 108
Replace N. Hizawa with:
N. Hizawa Japan
Paul Stryszak United States
Jong-Eun Lee South Korea
Robert Matheson United States
Vera Levytska United States
Martin P. Zanni Switzerland
Yuji Nozaki Japan
Hyunee Yim South Korea
Chia‐Siu Wang Taiwan
Ying‐Chun Shen Taiwan
Satoru Doi relative to N. Hizawa Japan N. Hizawa's profile →
Citations per field
00.5×7.7×
N. Hizawa · 1×
Citations per year

Countries citing papers authored by Satoru Doi

Since Specialization
Citations

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

Fields of papers citing papers by Satoru Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009170
2 2008143
3 2006123
4 200687
5 200079
6 200477
7 200961
8 201646
9 201044
10 200544
11 200541
12 198740
13 200636
14 201533
15 200623
16 200823
17 200622
18 198717
19 198815
20
Heterogeneity of acute undifferentiated leukemia at the immunoglobulin and T-cell receptor genes level.
198712

About Satoru Doi

Satoru Doi is a scholar working on Physiology, Immunology, Pulmonary and Respiratory Medicine, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (20 papers), Respiratory and Cough-Related Research (6 papers), Inhalation and Respiratory Drug Delivery (5 papers), Immune Cell Function and Interaction (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Food Allergy and Anaphylaxis Research (3 papers) and Allergic Rhinitis and Sensitization (2 papers). The work is most often cited by research in Immunology and Allergy (149 citations), Immunology (407 citations), Dermatology (149 citations), Physiology (371 citations) and Pharmacology (108 citations). Satoru Doi has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Mayumi Tamari, Kimie Fujita, Tomomitsu Hirota, Yusuke Nakamura, Akihiko Miyatake, Tadao Enomoto, Motohiro Ebisawa, Michishige Harada, Makiko Shimizu and Taro Shirakawa. Their work appears in journals such as Allergology International, American Journal of Respiratory Cell and Molecular Biology, Human Genetics, Journal of Allergy and Clinical Immunology and Human Molecular Genetics.

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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