Houjun Xia
Impact in
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in ⓘ
- Virology 6
- HIV Research and Treatment 6
- Immunology 23
- Immunotherapy and Immune Responses 9
- T-cell and B-cell Immunology 8
- Immune cells in cancer 7
- Immune Cell Function and Interaction 6
- Phagocytosis and Immune Regulation 4
- Co-authors
- Weiping Zou (6 shared papers)Douglas R. Green (1 shared paper)Ceshi Chen (8 shared papers)Shuang Wei (4 shared papers)Ilona Kryczek (4 shared papers)Zhongmei Zhou (4 shared papers)Wei Li (2 shared papers)Yong‐Tang Zheng (12 shared papers)
- Journals
- Cellular and Molecular Immunology (4 papers)Journal of Clinical Investigation (2 papers)Cells (2 papers)PLoS ONE (2 papers)Cell Metabolism (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Houjun Xia
33 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Immunology 531
- Cancer Research 362
- Oncology 342
- Physiology 54
- Molecular Biology 807
Countries citing papers authored by Houjun Xia
This map shows the geographic impact of Houjun 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 Houjun Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Houjun Xia more than expected).
Fields of papers citing papers by Houjun Xia
This network shows the impact of papers produced by Houjun 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 Houjun Xia. The network helps show where Houjun Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Houjun 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 326 | |
| 2 | Autophagy in tumour immunity and therapy Hit paper breakdown → | 2021 | 299 |
| 3 | 2015 | 156 | |
| 4 | 2017 | 141 | |
| 5 | 2017 | 119 | |
| 6 | 2020 | 91 | |
| 7 | 2014 | 70 | |
| 8 | 2018 | 48 | |
| 9 | 2009 | 48 | |
| 10 | 2013 | 39 | |
| 11 | 2023 | 32 | |
| 12 | 2015 | 29 | |
| 13 | 2014 | 20 | |
| 14 | 2010 | 19 | |
| 15 | 2011 | 19 | |
| 16 | 2016 | 17 | |
| 17 | 2024 | 16 | |
| 18 | 2013 | 14 | |
| 19 | 2009 | 10 | |
| 20 | 2012 | 10 |
About Houjun Xia
Houjun Xia is a scholar working on Virology, Immunology, Physiology, Toxicology and Cancer Research, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (8 papers), Immune cells in cancer (7 papers), HIV Research and Treatment (6 papers), Immune Cell Function and Interaction (6 papers), Phagocytosis and Immune Regulation (4 papers), Kruppel-like factors research (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Immunology (531 citations), Cancer Research (362 citations), Oncology (342 citations), Physiology (54 citations) and Molecular Biology (807 citations). Houjun Xia has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Weiping Zou, Douglas R. Green, Ceshi Chen, Shuang Wei, Ilona Kryczek, Zhongmei Zhou, Wei Li, Yong‐Tang Zheng, Linda Vatan and Gao‐Hong Zhang. Their work appears in journals such as Cellular and Molecular Immunology, Journal of Clinical Investigation, Cells, PLoS ONE and Cell Metabolism.
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.