Jun Sato
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
- Oncology 43
- Cancer Immunotherapy and Biomarkers 9
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 11
- Lung Cancer Treatments and Mutations 10
- Co-authors
- Takafumi Suda (32 shared papers)Noboru Yamamoto (25 shared papers)Yoshihisa NAITO (20 shared papers)Kingo Chida (15 shared papers)Tomoyuki Kitazaki (3 shared papers)Yuji Iizawa (3 shared papers)Masayuki Ii (3 shared papers)Mie Sunamoto (3 shared papers)
- Journals
- Medical Molecular Morphology (6 papers)Respirology (4 papers)Journal of Clinical Oncology (4 papers)Annals of Oncology (3 papers)Critical Care Medicine (3 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Jun Sato
183 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 152
- Immunology 463
- Oncology 557
- Immunology and Allergy 119
- Pulmonary and Respiratory Medicine 454
- Physiology 351
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 197 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 154 | |
| 2 | 2020 | 135 | |
| 3 | 2000 | 109 | |
| 4 | 2021 | 77 | |
| 5 | 1987 | 75 | |
| 6 | 2002 | 68 | |
| 7 | 2005 | 64 | |
| 8 | 1998 | 57 | |
| 9 | 2014 | 56 | |
| 10 | 2020 | 53 | |
| 11 | 2000 | 53 | |
| 12 | 2008 | 49 | |
| 13 | 2011 | 49 | |
| 14 | 2000 | 40 | |
| 15 | 2011 | 40 | |
| 16 | 2005 | 40 | |
| 17 | 2005 | 36 | |
| 18 | 2006 | 33 | |
| 19 | 2019 | 33 | |
| 20 | 2002 | 33 |
About Jun Sato
Jun Sato is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Immunology, Epidemiology and Molecular Biology, having authored 197 papers that have together received 2.5k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (14 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (11 papers), Immune Response and Inflammation (11 papers), Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (10 papers), Cancer Genomics and Diagnostics (10 papers), Lung Cancer Treatments and Mutations (10 papers) and Cancer Immunotherapy and Biomarkers (9 papers). The work is most often cited by research in Immunology (463 citations), Oncology (557 citations), Immunology and Allergy (119 citations), Pulmonary and Respiratory Medicine (454 citations) and Physiology (351 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, Tomoyuki Kitazaki, Yuji Iizawa, Masayuki Ii, Mie Sunamoto, Kazue Mizumura and T. Kumazawa. Their work appears in journals such as Medical Molecular Morphology, Respirology, Journal of Clinical Oncology, Annals of Oncology and Critical Care Medicine.
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.