Jun Dong
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Transplantation top 5%
Papers in
- Immunology 29
- T-cell and B-cell Immunology 19
- Immune Cell Function and Interaction 15
- Immunotherapy and Immune Responses 9
- Immune Response and Inflammation 4
- Immune cells in cancer 3
- Oncology 8
- CAR-T cell therapy research 3
- Co-authors
- Andreas Thiel (11 shared papers)Alf Hamann (3 shared papers)Hyun‐Dong Chang (15 shared papers)Chiara Romagnani (5 shared papers)Udo Baron (1 shared paper)Katrin Baumann (1 shared paper)Tina J. Boeld (1 shared paper)Stefan Floess (1 shared paper)
- Journals
- European Journal of Immunology (8 papers)The Journal of Immunology (5 papers)Medicine (2 papers)Frontiers in Immunology (2 papers)Antiviral Therapy (1 paper)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Jun Dong
57 papers receiving 2.2k citations
Jun Dong's Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology 1.3k
- Transplantation 76
- Oncology 284
- Genetics 110
- Hematology 108
Countries citing papers authored by Jun Dong
This map shows the geographic impact of Jun Dong'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 Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Dong more than expected).
Fields of papers citing papers by Jun Dong
This network shows the impact of papers produced by Jun Dong. 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 Dong. The network helps show where Jun Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Dong, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DNA demethylation in the human FOXP3 locus discriminates regulatory T cells from activated FOXP3+ conventional T cells Hit paper breakdown → | 2007 | 571 |
| 2 | 2014 | 212 | |
| 3 | 2014 | 135 | |
| 4 | 2019 | 113 | |
| 5 | 2014 | 107 | |
| 6 | 2012 | 97 | |
| 7 | 2022 | 92 | |
| 8 | Differential miRNA expression profiles in bladder urothelial carcinomas. | 2010 | 84 |
| 9 | 2010 | 82 | |
| 10 | 2003 | 81 | |
| 11 | 2012 | 61 | |
| 12 | 2009 | 60 | |
| 13 | 2015 | 60 | |
| 14 | 2007 | 42 | |
| 15 | 2012 | 40 | |
| 16 | 2015 | 39 | |
| 17 | 2009 | 37 | |
| 18 | 1999 | 35 | |
| 19 | 2005 | 32 | |
| 20 | 2007 | 29 |
About Jun Dong
Jun Dong is a scholar working on Immunology, Oncology, Molecular Biology, Epidemiology and Infectious Diseases, having authored 59 papers that have together received 2.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (15 papers), Immunotherapy and Immune Responses (9 papers), Immune Response and Inflammation (4 papers), Cardiac Fibrosis and Remodeling (4 papers), Immune cells in cancer (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Immunology (1.3k citations), Transplantation (76 citations), Oncology (284 citations), Genetics (110 citations) and Hematology (108 citations). Jun Dong has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Andreas Thiel, Alf Hamann, Hyun‐Dong Chang, Chiara Romagnani, Udo Baron, Katrin Baumann, Tina J. Boeld, Stefan Floess, Sven Olek and Matthias Edinger. Their work appears in journals such as European Journal of Immunology, The Journal of Immunology, Medicine, Frontiers in Immunology and Antiviral Therapy.
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.