Xiaojun Xia
Impact in
- Immunology top 1%
- interferon and immune responses
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Cancer Research top 2%
Papers in
-
- RNA Interference and Gene Delivery 12
- Immunology 46
- Immunotherapy and Immune Responses 17
- interferon and immune responses 14
- Immune cells in cancer 9
- Immune Cell Function and Interaction 8
- Immune Response and Inflammation 6
- Co-authors
- Peng Huang (14 shared papers)Jinyun Liu (9 shared papers)Jun Cui (8 shared papers)Xiaojuan Wang (13 shared papers)Rong‐Fu Wang (5 shared papers)Helen Y. Wang (4 shared papers)Liang Zhu (2 shared papers)Zhijian J. Chen (2 shared papers)
- Journals
- Advanced Science (5 papers)Cancer Research (4 papers)Nature Communications (3 papers)Translational Lung Cancer Research (3 papers)Journal of Cancer (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaojun Xia
116 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 149
- Immunology 1.6k
- Cancer Research 729
- Oncology 830
- Molecular Biology 2.0k
- Biomaterials 197
Countries citing papers authored by Xiaojun Xia
This map shows the geographic impact of Xiaojun Xia'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 Xiaojun Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Xia more than expected).
Fields of papers citing papers by Xiaojun Xia
This network shows the impact of papers produced by Xiaojun Xia. 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 Xiaojun Xia. The network helps show where Xiaojun Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojun Xia, 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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 365 | |
| 2 | 2020 | 265 | |
| 3 | 2011 | 240 | |
| 4 | 2021 | 216 | |
| 5 | 2019 | 193 | |
| 6 | 2020 | 182 | |
| 7 | 2021 | 173 | |
| 8 | 2019 | 169 | |
| 9 | 2016 | 147 | |
| 10 | 2012 | 135 | |
| 11 | 2020 | 131 | |
| 12 | 2018 | 125 | |
| 13 | 2021 | 109 | |
| 14 | 2008 | 100 | |
| 15 | 2013 | 96 | |
| 16 | 2015 | 79 | |
| 17 | 2020 | 64 | |
| 18 | 2024 | 62 | |
| 19 | 2007 | 56 | |
| 20 | 2023 | 55 |
About Xiaojun Xia
Xiaojun Xia is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Biomedical Engineering, having authored 135 papers that have together received 4.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (17 papers), interferon and immune responses (14 papers), Cancer Immunotherapy and Biomarkers (14 papers), RNA Interference and Gene Delivery (12 papers), NF-κB Signaling Pathways (10 papers), Immune cells in cancer (9 papers), Immune Cell Function and Interaction (8 papers) and Immune Response and Inflammation (6 papers). The work is most often cited by research in Immunology (1.6k citations), Cancer Research (729 citations), Oncology (830 citations), Molecular Biology (2.0k citations) and Biomaterials (197 citations). Xiaojun Xia has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Peng Huang, Jinyun Liu, Jun Cui, Xiaojuan Wang, Rong‐Fu Wang, Helen Y. Wang, Liang Zhu, Zhijian J. Chen, Jun Ki Hong and C. Xie. Their work appears in journals such as Advanced Science, Cancer Research, Nature Communications, Translational Lung Cancer Research and Journal of Cancer.
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.