Jun‐Qi Yang
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Parasitology top 5%
- Parasites and Host Interactions
Papers in
- Immunology 26
- T-cell and B-cell Immunology 18
- Immune Cell Function and Interaction 17
- IL-33, ST2, and ILC Pathways 7
- Immunotherapy and Immune Responses 5
- Immune Response and Inflammation 3
- Co-authors
- Ram Raj Singh (10 shared papers)Hongzhu Liu (4 shared papers)Fukun Guo (13 shared papers)Yi Zheng (11 shared papers)Zhuowei Hu (1 shared paper)Jing Chen (1 shared paper)Guo‐Chang Fan (1 shared paper)Xiaohong Wang (1 shared paper)
- Journals
- The Journal of Immunology (8 papers)PLoS ONE (3 papers)Cells (2 papers)European Journal of Immunology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Jun‐Qi Yang
53 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 104
- Immunology 693
- Parasitology 181
- Cancer Research 242
- Small Animals 60
- Molecular Biology 518
Countries citing papers authored by Jun‐Qi Yang
This map shows the geographic impact of Jun‐Qi Yang'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‐Qi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Qi Yang more than expected).
Fields of papers citing papers by Jun‐Qi Yang
This network shows the impact of papers produced by Jun‐Qi Yang. 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‐Qi Yang. The network helps show where Jun‐Qi Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Qi Yang, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 263 | |
| 2 | 2009 | 209 | |
| 3 | 2019 | 89 | |
| 4 | 2015 | 82 | |
| 5 | 2005 | 66 | |
| 6 | 2013 | 50 | |
| 7 | 2004 | 49 | |
| 8 | 2006 | 44 | |
| 9 | 2010 | 44 | |
| 10 | 2002 | 43 | |
| 11 | 2009 | 40 | |
| 12 | 2011 | 40 | |
| 13 | 2018 | 40 | |
| 14 | 2007 | 40 | |
| 15 | 2007 | 39 | |
| 16 | 2005 | 35 | |
| 17 | 2009 | 35 | |
| 18 | 2014 | 31 | |
| 19 | 2019 | 31 | |
| 20 | 2010 | 28 |
About Jun‐Qi Yang
Jun‐Qi Yang is a scholar working on Immunology, Molecular Biology, Parasitology, Oncology and Small Animals, having authored 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (18 papers), Immune Cell Function and Interaction (17 papers), Parasites and Host Interactions (9 papers), IL-33, ST2, and ILC Pathways (7 papers), Immunotherapy and Immune Responses (5 papers), Asthma and respiratory diseases (4 papers), Pediatric health and respiratory diseases (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Immunology (693 citations), Parasitology (181 citations), Cancer Research (242 citations), Small Animals (60 citations) and Molecular Biology (518 citations). Jun‐Qi Yang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Ram Raj Singh, Hongzhu Liu, Fukun Guo, Yi Zheng, Zhuowei Hu, Jing Chen, Guo‐Chang Fan, Xiaohong Wang, Xiaoping Ren and Xiaowei Zhang. Their work appears in journals such as The Journal of Immunology, PLoS ONE, Cells, European Journal of Immunology 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.