Dajing Xia
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- RNA modifications and cancer 6
- Immunology 32
- Immunotherapy and Immune Responses 19
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 12
- Immune cells in cancer 7
- Co-authors
- Han‐Ming Shen (21 shared papers)Yihua Wu (36 shared papers)Honghe Zhang (15 shared papers)Hanwen Chen (14 shared papers)Jinming Xu (16 shared papers)Peiwei Li (9 shared papers)Yihua Wu (9 shared papers)Yuequn Niu (13 shared papers)
In The Last Decade
Dajing Xia
103 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 121
- Cancer Research 819
- Immunology 775
- Oncology 706
- Molecular Biology 1.5k
- Physiology 78
Countries citing papers authored by Dajing Xia
This map shows the geographic impact of Dajing 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 Dajing Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dajing Xia more than expected).
Fields of papers citing papers by Dajing Xia
This network shows the impact of papers produced by Dajing 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 Dajing Xia. The network helps show where Dajing Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Dajing 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 253 | |
| 2 | 2018 | 222 | |
| 3 | 2017 | 176 | |
| 4 | 2015 | 158 | |
| 5 | 2016 | 115 | |
| 6 | 2014 | 110 | |
| 7 | 2019 | 102 | |
| 8 | 2004 | 100 | |
| 9 | 2012 | 96 | |
| 10 | 2016 | 93 | |
| 11 | 2016 | 90 | |
| 12 | 2020 | 85 | |
| 13 | 2001 | 73 | |
| 14 | 2010 | 65 | |
| 15 | 2013 | 57 | |
| 16 | 2018 | 56 | |
| 17 | 2018 | 55 | |
| 18 | 2017 | 54 | |
| 19 | 2019 | 52 | |
| 20 | 2021 | 49 |
About Dajing Xia
Dajing Xia is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Epidemiology, having authored 105 papers that have together received 3.3k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (19 papers), Immunotherapy and Immune Responses (19 papers), Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (12 papers), Cancer-related molecular mechanisms research (12 papers), Immune cells in cancer (7 papers), RNA modifications and cancer (6 papers) and CAR-T cell therapy research (6 papers). The work is most often cited by research in Cancer Research (819 citations), Immunology (775 citations), Oncology (706 citations), Molecular Biology (1.5k citations) and Physiology (78 citations). Dajing Xia has collaborated with scholars based in China, Singapore and Canada. Frequent co-authors include Han‐Ming Shen, Yihua Wu, Honghe Zhang, Hanwen Chen, Jinming Xu, Peiwei Li, Yihua Wu, Yuequn Niu, Wenjie Sun and Jim Xiang. Their work appears in journals such as Autophagy, The Journal of Immunology, Journal of Zhejiang University SCIENCE B, The Science of The Total Environment and Oncotarget.
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.