Jun Diao
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immune Response and Inflammation
- Phagocytosis and Immune Regulation
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- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 16
- Immunotherapy and Immune Responses 12
- T-cell and B-cell Immunology 4
- Immune cells in cancer 2
- Phagocytosis and Immune Regulation 1
- Surgery 4
- Transplantation: Methods and Outcomes 2
- Xenotransplantation and immune response 1
- Co-authors
- Mark S. Cattral (12 shared papers)Michael Tang (5 shared papers)Erin Winter (5 shared papers)Wenhao Chen (4 shared papers)Jun Zhao (2 shared papers)Ismat A. Khatri (2 shared papers)Reginald M. Gorczynski (2 shared papers)Christine M. Smyth (1 shared paper)
- Journals
- The Journal of Immunology (8 papers)European Journal of Immunology (2 papers)Gene Therapy (1 paper)Blood (1 paper)Cellular and Molecular Life Sciences (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Jun Diao
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 58
- Immunology 654
- Oncology 146
- Hepatology 33
- Transplantation 12
- Immunology and Allergy 15
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-authors
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 | 2008 | 134 | |
| 2 | 2015 | 133 | |
| 3 | 2004 | 93 | |
| 4 | 2006 | 90 | |
| 5 | 2008 | 90 | |
| 6 | 2016 | 90 | |
| 7 | 2009 | 54 | |
| 8 | 1999 | 53 | |
| 9 | 2014 | 53 | |
| 10 | 2001 | 49 | |
| 11 | 2011 | 49 | |
| 12 | 2004 | 43 | |
| 13 | 2018 | 39 | |
| 14 | 2009 | 37 | |
| 15 | 2012 | 31 | |
| 16 | 2007 | 19 | |
| 17 | 2011 | 18 | |
| 18 | 2007 | 16 | |
| 19 | 1997 | 15 | |
| 20 | 2008 | 9 |
About Jun Diao
Jun Diao is a scholar working on Immunology, Surgery, Radiology, Nuclear Medicine and Imaging, Epidemiology and Nuclear Energy and Engineering, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), T-cell and B-cell Immunology (4 papers), Immune cells in cancer (2 papers), Transplantation: Methods and Outcomes (2 papers), Phagocytosis and Immune Regulation (1 paper), Xenotransplantation and immune response (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Immunology (654 citations), Oncology (146 citations), Hepatology (33 citations), Transplantation (12 citations) and Immunology and Allergy (15 citations). Jun Diao has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Mark S. Cattral, Michael Tang, Erin Winter, Wenhao Chen, Jun Zhao, Ismat A. Khatri, Reginald M. Gorczynski, Jun Zhao, Christine M. Smyth and Luoling Xu. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Gene Therapy, Blood and Cellular and Molecular Life Sciences.
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.