Jun Sato
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 35
- Cancer Immunotherapy and Biomarkers 9
- Cancer Cells and Metastasis 8
- Immunology 29
- Immune Cell Function and Interaction 11
- Immunotherapy and Immune Responses 10
- Co-authors
- Takafumi Suda (33 shared papers)NOBORU YAMAMOTO (22 shared papers)Yoshihisa NAITO (20 shared papers)Kingo Chida (16 shared papers)Tomoyuki Kitazaki (1 shared paper)Masayuki Ii (1 shared paper)Yuji Iizawa (1 shared paper)Mie Sunamoto (1 shared paper)
- Journals
- Medical Molecular Morphology (6 papers)Cancer Science (4 papers)Respirology (4 papers)Annals of Oncology (3 papers)Oncology Reports (3 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Jun Sato
185 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 150
- Immunology 414
- Oncology 481
- Immunology and Allergy 93
- Physiology 315
- Neurology 184
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 202 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 164 | |
| 2 | 2007 | 160 | |
| 3 | 2000 | 120 | |
| 4 | 2021 | 87 | |
| 5 | 1987 | 82 | |
| 6 | 2002 | 70 | |
| 7 | 2005 | 65 | |
| 8 | 1998 | 60 | |
| 9 | 2014 | 60 | |
| 10 | 2020 | 60 | |
| 11 | 2000 | 59 | |
| 12 | 2011 | 59 | |
| 13 | 2008 | 53 | |
| 14 | 2000 | 45 | |
| 15 | 2005 | 41 | |
| 16 | 2011 | 41 | |
| 17 | 2005 | 40 | |
| 18 | 2002 | 36 | |
| 19 | 2006 | 36 | |
| 20 | 2012 | 36 |
About Jun Sato
Jun Sato is a scholar working on Oncology, Immunology, Pulmonary and Respiratory Medicine, Epidemiology and Physiology, having authored 202 papers that have together received 2.8k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (12 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers), Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (10 papers), Reproductive Physiology in Livestock (9 papers), Cancer Immunotherapy and Biomarkers (9 papers), Animal health and immunology (8 papers) and Cancer Cells and Metastasis (8 papers). The work is most often cited by research in Immunology (414 citations), Oncology (481 citations), Immunology and Allergy (93 citations), Physiology (315 citations) and Neurology (184 citations). Jun Sato has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takafumi Suda, NOBORU YAMAMOTO, Yoshihisa NAITO, Kingo Chida, Tomoyuki Kitazaki, Masayuki Ii, Yuji Iizawa, Mie Sunamoto, Kazue Mizumura and Toshihiko KUMAZAWA. Their work appears in journals such as Medical Molecular Morphology, Cancer Science, Respirology, Annals of Oncology and Oncology Reports.
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.