Jun Sato
Impact in
- Immunology and Allergy top 5%
- Allergic Rhinitis and Sensitization
- Immunology top 10%
- Immune Response and Inflammation
- T-cell and B-cell Immunology
Papers in
- Oncology 31
- Cancer Immunotherapy and Biomarkers 8
- Cancer Cells and Metastasis 7
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- Lung Cancer Treatments and Mutations 7
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 7
- Co-authors
- Takafumi Suda (33 shared papers)Noboru Yamamoto (22 shared papers)Yoshihisa NAITO (20 shared papers)Kingo Chida (16 shared papers)Yuji Iizawa (1 shared paper)Tomoyuki Kitazaki (1 shared paper)Mie Sunamoto (1 shared paper)Masayuki Ii (1 shared paper)
- Journals
- Medical Molecular Morphology (6 papers)Respirology (4 papers)Cancer Science (4 papers)Oncology Reports (3 papers)Annals of Oncology (3 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Jun Sato
173 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 115
- Immunology and Allergy 91
- Immunology 284
- Oncology 314
- Cancer Research 173
- Neurology 170
Countries citing papers authored by Jun Sato
This map shows the geographic impact of Jun Sato'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 Jun Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sato more than expected).
Fields of papers citing papers by Jun Sato
This network shows the impact of papers produced by Jun Sato. 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 Jun Sato. The network helps show where Jun Sato may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Sato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 187 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 164 | |
| 2 | 2007 | 160 | |
| 3 | 2000 | 121 | |
| 4 | 2021 | 87 | |
| 5 | 2002 | 70 | |
| 6 | 2005 | 65 | |
| 7 | 2014 | 60 | |
| 8 | 2020 | 60 | |
| 9 | 1998 | 59 | |
| 10 | 2000 | 59 | |
| 11 | 2011 | 59 | |
| 12 | 2008 | 53 | |
| 13 | 2000 | 45 | |
| 14 | 2005 | 41 | |
| 15 | 2011 | 41 | |
| 16 | 2005 | 40 | |
| 17 | 2002 | 36 | |
| 18 | 2006 | 36 | |
| 19 | 2012 | 36 | |
| 20 | 2020 | 36 |
About Jun Sato
Jun Sato is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Physiology, Immunology and Allergy and Epidemiology, having authored 187 papers that have together received 2.6k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (12 papers), Cancer Immunotherapy and Biomarkers (8 papers), Cancer Genomics and Diagnostics (8 papers), Allergic Rhinitis and Sensitization (8 papers), Lung Cancer Treatments and Mutations (7 papers), Cancer Cells and Metastasis (7 papers), Veterinary Medicine and Surgery (7 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers). The work is most often cited by research in Immunology and Allergy (91 citations), Immunology (284 citations), Oncology (314 citations), Cancer Research (173 citations) and Neurology (170 citations). Jun Sato has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Takafumi Suda, Noboru Yamamoto, Yoshihisa NAITO, Kingo Chida, Yuji Iizawa, Tomoyuki Kitazaki, Mie Sunamoto, Masayuki Ii, Yuichiro Ohe and Hideaki Shirasaki. Their work appears in journals such as Medical Molecular Morphology, Respirology, Cancer Science, Oncology Reports and Annals of Oncology.
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.