Jun Wei
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Plant Gene Expression Analysis 4
- Immunology 29
- Immune Cell Function and Interaction 16
- T-cell and B-cell Immunology 11
- Immune cells in cancer 6
- Immunotherapy and Immune Responses 6
- Co-authors
- Hongbo Chi (14 shared papers)Lingyun Long (7 shared papers)Yogesh Dhungana (7 shared papers)Peter Vogel (3 shared papers)Kai Yang (4 shared papers)Cliff Guy (3 shared papers)Jordy Saravia (4 shared papers)Seon Ah Lim (4 shared papers)
- Journals
- The Journal of Immunology (4 papers)Journal of Leukocyte Biology (3 papers)International Journal of Molecular Medicine (2 papers)Nature (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Wei
72 papers receiving 3.0k citations
Jun Wei's Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 1.1k
- Cancer Research 444
- Oncology 646
- Molecular Biology 1.3k
- Physiology 76
Countries citing papers authored by Jun Wei
This map shows the geographic impact of Jun Wei'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 Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wei more than expected).
Fields of papers citing papers by Jun Wei
This network shows the impact of papers produced by Jun Wei. 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 Wei. The network helps show where Jun Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Wei, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 358 | |
| 2 | Lipid signalling enforces functional specialization of Treg cells in tumours Hit paper breakdown → | 2021 | 313 |
| 3 | 2019 | 299 | |
| 4 | 2012 | 167 | |
| 5 | 2001 | 138 | |
| 6 | 1996 | 135 | |
| 7 | 2013 | 107 | |
| 8 | 2021 | 104 | |
| 9 | 2014 | 87 | |
| 10 | 2017 | 77 | |
| 11 | 2011 | 70 | |
| 12 | 2014 | 66 | |
| 13 | 2021 | 65 | |
| 14 | 2012 | 57 | |
| 15 | 2014 | 54 | |
| 16 | 2019 | 54 | |
| 17 | 2024 | 52 | |
| 18 | 2013 | 51 | |
| 19 | 2020 | 42 | |
| 20 | 2013 | 36 |
About Jun Wei
Jun Wei is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Cell Biology, having authored 75 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (11 papers), CAR-T cell therapy research (7 papers), Immune cells in cancer (6 papers), Immunotherapy and Immune Responses (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Plant Gene Expression Analysis (4 papers) and Microfluidic and Bio-sensing Technologies (4 papers). The work is most often cited by research in Immunology (1.1k citations), Cancer Research (444 citations), Oncology (646 citations), Molecular Biology (1.3k citations) and Physiology (76 citations). Jun Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongbo Chi, Lingyun Long, Yogesh Dhungana, Peter Vogel, Kai Yang, Cliff Guy, Jordy Saravia, Seon Ah Lim, Geoffrey Neale and Zhinan Yin. Their work appears in journals such as The Journal of Immunology, Journal of Leukocyte Biology, International Journal of Molecular Medicine, Nature and Proceedings of the National Academy of 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.