Jun Diao
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immune Response and Inflammation
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Immunology 19
- Immunotherapy and Immune Responses 16
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 8
- Immune cells in cancer 3
- Galectins and Cancer Biology 1
- Oncology 6
- Cancer Immunotherapy and Biomarkers 4
- CAR-T cell therapy research 3
- Co-authors
- Mark S. CattralMichael TangErin WinterWenhao ChenHongtao GuIsmat KhatriJun ZhaoLuoling Xu
- Journals
- The Journal of Immunology (7 papers)International Journal of Cancer (2 papers)European Journal of Immunology (2 papers)Endocrinology (1 paper)Journal of Innate Immunity (1 paper)
- Partner nations
- CanadaUnited StatesSweden
In The Last Decade
Jun Diao
20 papers receiving 935 citations
Peers
Comparison fields: 5 of 74
- Immunology 742
- Oncology 305
- Immunology and Allergy 28
- Neurology 32
- Transplantation 9
Countries citing papers authored by Jun Diao
This map shows the geographic impact of Jun Diao'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 Diao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Diao more than expected).
Fields of papers citing papers by Jun Diao
This network shows the impact of papers produced by Jun Diao. 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 Diao. The network helps show where Jun Diao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Diao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 37 | |
| 2 | 2018 | 36 | |
| 3 | 2016 | 84 | |
| 4 | 2015 | 121 | |
| 5 | 2014 | 45 | |
| 6 | 2012 | 32 | |
| 7 | 2011 | 44 | |
| 8 | 2011 | 18 | |
| 9 | 2009 | 31 | |
| 10 | 2009 | 54 | |
| 11 | 2008 | 86 | |
| 12 | 2007 | 20 | |
| 13 | 2007 | 15 | |
| 14 | 2006 | 87 | |
| 15 | 2004 | 89 | |
| 16 | 2004 | 42 | |
| 17 | 2001 | 43 | |
| 18 | 2001 | 2 | |
| 19 | 1999 | 52 | |
| 20 | 1997 | 13 |
About Jun Diao
Jun Diao is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Biotechnology and Animal Science and Zoology, having authored 20 papers that have together received 951 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (16 papers), Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), CAR-T cell therapy research (3 papers), Immune cells in cancer (3 papers) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Immunology (742 citations), Oncology (305 citations), Immunology and Allergy (28 citations), Neurology (32 citations) and Transplantation (9 citations). Jun Diao has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Mark S. Cattral, Michael Tang, Erin Winter, Wenhao Chen, Hongtao Gu, Ismat Khatri, Jun Zhao, Luoling Xu, James Phillips and David J. Kelvin. Their work appears in journals such as The Journal of Immunology, International Journal of Cancer, European Journal of Immunology, Endocrinology and Journal of Innate Immunity.
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.